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ORIGINAL ARTICLES



          The evolving impact of HIV/AIDS on outpatient health
          services in KwaZulu-Natal, South Africa
          Anokhi Parikh, Nina Veenstra


            Background and objective. The high HIV prevalence in                          determined by a clinical diagnosis (and test result where
            KwaZulu-Natal (KZN) places immense pressure on the                            available). The burden was also measured by looking at the
            health system. The burden of HIV/AIDS on health services                      types of diseases presenting at outpatient facilities. Moreover,
            is evolving as the epidemic progresses and as antiretroviral                  the study assessed the burden experienced by health care
            treatment becomes more widely available. For health policy                    workers and financial implications for health facilities.
            makers and managers, timely and appropriate information is                    Results and conclusions. The study demonstrates that the
            needed to facilitate adaptive management of health services.                  burden on outpatient services is significant but has not been
            Through longitudinal research covering outpatient health                      increasing over time, suggesting that people are not accessing
            services in KZN we examined the dynamics of the evolving                      care if and when they need it. However, in terms of resources,
            HIV/AIDS burden and the resource implications of this                         this burden has been increasing and shifting from tertiary
            burden, necessary for resource allocation decisions.                          services to more primary services. In order to accommodate
            Methods. Data were collected between 2004 and 2005 in                         the demands of HIV/AIDS, our focus therefore needs to turn
            outpatient services across six health facilities in the province.             towards outpatient services, in particular at the primary care
            The burden of HIV/AIDS was measured by assessing                              level.
            the proportion of outpatients presenting as HIV positive,                     S Afr Med J 2008; 98: 468-472.



          At 39.1% KwaZulu-Natal (KZN) has the highest antenatal                          care (PHC) facilities across four South African provinces.7
          clinic prevalence of any South African province,1 which has                     Patients attending two PHC clinics in Gauteng were all tested
          enormous implications in terms of a high burden for health                      and the HIV prevalences found to be 34% and 36%.8 Although
          services. We should be prepared for increases in the demand                     illuminating, data from one point in time do not capture the
          for health care for a decade or more even once HIV prevalence                   dynamics of the burden and do not assess how the prevalence
          rates decline, since many people are in the earlier stages of                   translates to a resource burden, which is crucial for planning.
          infection and asymptomatic.                                                        We set out to investigate how the burden of HIV/AIDS
             Several studies have looked at the burden of HIV on health                   on outpatient health services is changing over time using
          services all over sub-Saharan Africa2-5 and have elicited one                   data from KZN. We attempted to capture the pressures
          particularly startling insight: a steep rise in the HIV/AIDS                    that HIV is placing on the health services by assessing the
          burden on health care facilities in the late 1980s, with apparent               proportion of patients accessing HIV-related care and the
          stabilisation of burden in later years. This finding contrasts                  consequent resource implications. Understanding this is
          with epidemiological trends, which predict that the burden                      essential for the system to plan and respond appropriately to
          should have increased markedly owing to the time lag                            changes. Although the fieldwork was undertaken as the ART
          between HIV infection and the stage at which opportunistic                      programme commenced in many health facilities, there were
          infections are experienced.6 Some of this burden on inpatient                   signs of trends that might be experienced as it expands.
          services will be alleviated as antiretroviral therapy (ART)
          coverage improves. These papers have focused almost entirely                    Methodology
          on inpatient services and tertiary hospitals, with little data
          available on district health services or outpatient services. Only              Sampling
          two studies looked at outpatient services. An HIV prevalence                    This study was conducted in Ugu district of KZN, from
          of 25.7% was found among patients visiting primary health                       which sample facilities were selected and a referral pattern
                                                                                          was tracked. The district was chosen because it has a regional
468       Health Economics and HIV/AIDS Research Division, University of KwaZulu-Natal,
          Durban
                                                                                          hospital, which ensures urban and rural representation, avoids
          Anokhi Parikh, MSc
                                                                                          problems of a dispersed referral system and has an ARV roll-
          Nina Veenstra, MPH                                                              out site. This ensured that the district was representative of
                                                                                          health districts in the province in terms of its disease profile
                                                                                          and complement of health facilities, and also that it has similar
                                                                                          demographic and economic profiles to those of the province as
          Corresponding author: A Parikh (anokhip@gmail.com)
                                                                                          a whole.




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               Three phases of data collection occurred at 6-month intervals
                                                                                    Table I. Sample size and sample characteristics by
            and spanned an 18-month period between July 2004 and                    level of care and phase of study
            December 2005. Six facilities participated in all three phases of
                                                                                    Level of care                     Phase 1   Phase 2   Phase 3
            the study – 1 regional hospital, 1 district hospital, and 4 PHC
            clinics – allowing analyses of trends in these facilities. Data         Primary health care clinics (4)
                                                                                      No. of patient visits           654       754       650
            were collected at inpatient and outpatient facilities to capture
                                                                                      sampled
            the interaction of various levels of care, though this paper              Mean age (yrs)                  29.7      29.0      37.3
            focuses on the latter.                                                    % female                        70.0      69.1      74.4
                                                                                    District hospital (1)
               Sampling of health facilities for data collection was done
                                                                                      No. of patient visits           190       186       142
            by identifying the most representative district, regional and             sampled
            tertiary level hospitals. Clinics were stratified according to their      Mean age (yrs)                  33.4      33.0      41.3
            supervising hospital and then randomly sampled, to include                % female                        58.3      52.7      58.0
            2 clinics under the regional hospital and 2 clinics under the           Regional hospital (1)
                                                                                      No. of patient visits           319       393       268
            district hospital.
                                                                                      sampled
               For each phase of the research, the research team visited              Mean age (yrs)                  40.3      42.1      46.0
            each facility in the sample for a 2-day period. Since general             % female                        57.4      56.5      56.7
            outpatient services in South Africa function with no special
            clinics on specific days, it made little difference which days the       To analyse the types of diseases presenting at outpatient
            team chose to visit. Out of consideration for the over-worked          facilities, the primary or first recorded diagnosis was
            health workers, Mondays and other days when facilities were            considered. Grouping of diagnoses follows that used in Burden
            short-staffed or undergoing any change were avoided.                   of Disease studies, based on the International Classification
              Fieldworkers stationed at key points in the facility (e.g.           of Diseases No. 10.9 Patients presenting with an opportunistic
            outpatient clinic, casualty, tuberculosis drop-in centres, medical     infection and HIV positive according to clinical and/or
            and paediatric wards) obtained information on each patient             laboratory diagnosis were allocated to the category of ‘HIV/
            passing through the facility. Information collected included           AIDS’.
            demographic details, medical diagnosis, HIV status (according            The concept of the ‘burden’ of HIV/AIDS becomes more
            to clinical diagnosis, WHO staging, and HIV test where                 meaningful when considering its resource implications. The
            available), history of treatment and investigations, outcome           study looked at the burden experienced by health care workers
            of illness episode and movement through the health system              and financial implications for health facilities. Focus groups/
            (Table I).                                                             interviews with medical staff were conducted to explore
                                                                                   how health care workers have adapted and are adapting to
            Measuring burden
                                                                                   changing conditions. Owing to the limited availability of health
            The burden of HIV/AIDS was measured by assessing the                   care workers, inclusion criteria for focus groups and interviews
            proportion of outpatients presenting as HIV positive as                rested largely on individuals’ willingness to participate and
            determined by clinical diagnosis and reference to laboratory           their time available. These interviews were essential as it
            tests. The rationale for not attempting to test all patients was       cannot be assumed that the proportion of patients seeking care
            because South Africa has reached a stage in the HIV/AIDS               for HIV-related illnesses reflects the workload created by these
            epidemic where high prevalence rates are being recorded and            patients, since HIV-related illness is complicated to manage.
            HIV testing is conducted for most patients who, from clinical          Secondly, pressures on health care workers depend on a whole
            signs and symptoms, are thought to be infected. Testing all            host of factors, many not related to HIV/AIDS.
            patients attending health care facilities for HIV infection              The analysis of financial resource utilisation was based on
            has a high risk of overestimating the burden of care, since            assessed HIV prevalence. A limited number of cost categories
            people may be HIV positive but may not be accessing HIV-               were examined: personnel costs (in terms of consultation time),
            related care. It is more reliable to use existing HIV test results     drug costs, laboratory costs, and radiological investigation
            supplemented by a clinical diagnosis, because of improving             costs. Costing data were obtained through the Provincial
            coverage of voluntary counselling and testing (VCT). More              Laboratory Services (laboratory investigations), Provincial
            than half of patients thought to be HIV positive on clinical                                                                                 469
                                                                                   Medical Supplies (drug costs), and the Kind Edward Radiology
            signs and symptoms had been confirmed as positive with a               Department (radiological investigations).10
            test. In contrast, among patients not clinically infected, less
                                                                                    The Medical Research Ethics Committee, University of
            than 1% disclosed having been tested to the clinician managing
                                                                                   KwaZulu-Natal, gave ethical clearance for this study.
            their illness.




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ORIGINAL ARTICLES



          Results and discussion                                               Proportion of patients presenting with HIV using
                                                                               the burden of disease methodology
          HIV prevalence in outpatient health facilities based
                                                                               Analysis of different diseases for which patients accessed
          on clinical and laboratory diagnosis
                                                                               outpatient services shows that HIV places a moderate burden
          The proportion of patients recorded as HIV positive for each         on outpatient services, with 8 - 22% of patients accessing HIV-
          level of care over time indicates that: there is a high proportion   related care. Although the types of patients seen at different
          of patients recorded as HIV positive for each level of care; the     visits varied, there was no appreciable increase in the burden
          proportion of HIV-positive patients has not increased over time      of HIV/AIDS across all levels of care. There was a statistically
          as expected, and the prevalence is the highest in the regional       significant decline of burden observed in PHC clinics between
          hospital and lowest in PHC clinics (Table II).                       the end of 2004 and early 2005, which are consistent with the
            The proportion of outpatients presenting as HIV positive           findings in Table II (Fig. 1).
          in 2004 is comparable to another study which found the                  The proportion of patients presenting with HIV was
          prevalence in PHC clinics in South Africa to be 25.7% in 2002.7      generally higher at the hospitals than at the clinics, but was
          Similarly, inpatient prevalence in this study ranged from 46.9%      lower than in previous studies7,8 and indeed lower than the
          to 54.5% in 2004 and is consistent with the 46.2% prevalence         burden measured by prevalence in Table II, something that
          recorded by Shisana et al.7                                          would be expected in a high-prevalence context. The lack of
             While the prevalence of HIV infection in all health care          increase over time concur with suspicions of a rising burden
          facilities was high, it did not increase during the duration         of AIDS illness in communities, a finding documented from
          of the research. In inpatient services (data not shown) the          Kenya, Lesotho and Swaziland.3,11-12
          percentage was stable over time in both district and regional
                                                                               Resource implications of the HIV/AIDS burden
          hospitals. In outpatient services it even appeared to decline,
          but this decline was not always statistically significant. Ninety-   Our assessment of the resource implications of the burden of
          five per cent confidence intervals (CIs) for data obtained at the    HIV/AIDS was based on assessed HIV prevalence. Costing
          hospitals (both district and regional) exhibited some degree         data indicated that while care for HIV/AIDS patients was
          of overlap over the three phases of the research. Only at the        frequently more expensive than care for other types of patients,
          clinic level did the proportion of outpatients presenting as         this was not always the case. Inpatient care in particular had
          HIV positive register a statistically significant decline between    a tendency to be equally resource-intensive for both types
          late 2004 and early 2005. This is probably attributable to two       of patients, the exception being at lower-level hospitals.
          contextual factors. During the first round of fieldwork we           Outpatient care, on the other hand, was nearly always more
          noted a large number of patients requesting disability grants        expensive if it was HIV-related (Fig. 2). This trend is readily
          for their HIV status. Rumour had spread that a positive test         explained since HIV/AIDS generally manifests itself in more
          result was all that was needed to access this grant, and such        complex ways than other health conditions managed by lower-
          misconceptions were only cleared later. Secondly, ART was            level hospitals and outpatient care services.
          implemented in two hospitals in the region at this time and it is        Costing at outpatient facilities identified expected early
          unclear to what extent this encouraged people to be tested and        trends as the ART programme expands, including a shift in the
          further managed.                                                      burden from tertiary care to more primary care (Fig. 2). In the
                                                                               Fig. 1. Trends in the burden of disease presenting at outpatient services at different levels of care
            Significant variations between levels of care, with the             first phase, costs of treating HIV/AIDS patients were similar
                                                                               over time.
          prevalence rate being lowest among PHC clinics, is not a
          surprising result as patients with higher levels of morbidity           100%

                                                                                   90%
          tend to access hospital level care.                                      80%

                                                                                   70%

                                                                                   60%
            Table II. Trends in the proportion of outpatients                      50%                                                        20%
            presenting                                                             40%                                                                    13%
            as HIV positive by level of care over time (95% CI)                    30%     14%         7%         8%               22%
                                                                                   20%                                                                                   18%       20%      15%

            Level of care % HIV positive % HIV positive % HIV positive             10%
                                                                                    0%
                          July - Sept 04 Jan - March 05 July - Sept 05
470                                                                                          PHC        PHC       PHC
                                                                                         clinics Jul- clinics clinics Jul-
                                                                                                                                  District
                                                                                                                                  hospital
                                                                                                                                              District
                                                                                                                                             hospital
                                                                                                                                                         District
                                                                                                                                                         hospital
                                                                                                                                                                        Regional Regional Regional
                                                                                                                                                                        hospital hospital hospital
                                                                                           Sep 04     Jan-Mar   Sep 05            Jul-Sep    Jan-Mar     Jul-Sep        July-Sep Jan-Mar Jul-Sep
            PHC clinics     20.2%           10.1%            11.8%                                       05                         04          05         05              04      05       05
                                                                                                             Routine (family planning/antenatal care/immunisations)
                            (17.2 - 23.5)   (8.1 - 12.5)     (9.5 - 14.6)                                    Undeterminable
            District        24.5%           19.9%            15.5%                                           Injuries
                                                                                                             Nonconmmunicable diseases
            hospital        (18.6 - 31.2)   (14.4 - 26.4)    (10.0 - 22.5)                                   HIV/AIDS
                                                                                                             Communicable, maternal, perinatal and nutritional conditions (excl HIV)
            Regional        23.5%           23.4%            19.8%
            hospital        (18.9 - 28.5)   (19.4 - 28.0)    (15.2 - 25.1)     Fig. 1. Trends in the burden of disease presenting at outpatient services at
                                                                               different levels of care over time.




          June 2008, Vol. 98, No. 6 SAMJ




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ORIGINAL ARTICLES


           Fig. 2. Trends in average costs for HIV- and non-HIV related outpatient care at different levels
           of the system over time.
                140.00
                                                                                                                                        simply because the costs of treatment vary according to a
                                                                      Drug costs HIV                Drug costs non-HIV                  whole host of factors, which differ between individual health
                                                                      Laboratory costs HIV          Laboratory costs non-HIV
                120.00

                                                                      Radiology costs HIV           Radiology costs non-HIV
                                                                                                                                        facilities and levels of care. Importantly, these factors are not
                100.00                                                                                                                  only determinants for costs, but also for human resource and
                                                                                                                                        infrastructure requirements more generally. According to the
                    80.00
                                                                                                                                        findings of this research, they include availability of inputs
            Rands




                    60.00                                                                                                               to care, rationing by health care providers, rationing by users
                                                                                                                                        (with suspicions that the more ill individuals were the ones not
                    40.00
                                                                                                                                        managing to seek care), clinical staging and nature of treatment
                    20.00
                                                                                                                                        (i.e. prophylactic or curative), and level of care.
                     0.00
                            PHC clinics
                            July-Sep 04
                                          PHC clinics
                                          July-Sep 05
                                                           District hospital District hospital
                                                             July-Sep 04       July-Sep 05
                                                                                                  Regional hospital Regional hospital
                                                                                                    July-Sep 04       July-Sep 05
                                                                                                                                        Conclusion and policy implications
                                                                                                                                        This research demonstrated that the burden on outpatient
            Fig. 2. Trends in average costs for HIV- and non-HIV-related outpatient
            care at different levels of the system over time.                                                                           services in the district was not increasing over time as one
                                                                                                                                        would expect, although the resource burden did increase.
            to the costs of treating other types of patients at PHC clinics
                                                                                                                                           As these results come from one district in KZN they may not
            but were higher in hospitals. Over time, the costs of treating
                                                                                                                                        be generalisable to the whole province or country. Nonetheless,
            HIV patients increased across all cost categories while the cost
                                                                                                                                        a number of policy-relevant lessons can be learned. First, while
            of treating non-HIV patients remained unchanged. The high
                                                                                                                                        the burden has not been increasing, it is still high, in that a
            radiology costs at district hospital in the first phase are due to
                                                                                                                                        large number of patients are seeking HIV-related care. This
            a handful of expensive investigations for a small number of
                                                                                                                                        burden is higher if the resource implications are considered,
            patients.
                                                                                                                                        because HIV patients cost more than non-HIV patients in terms
               The services offered at clinics had expanded during                                                                      of financial and human resources. In strengthening the health
            this time to offer CD4 testing, pretreatment counselling                                                                    system, outpatient services must therefore not be neglected.
            and dry blood spot polymerase chain reaction (PCR) for
                                                                                                                                          Second, the trends that are being observed are not due to
            infants on the prevention of mother-to-child transmission
                                                                                                                                        ART as the roll-out had not quite taken off during the study
            (PMTCT) programme. This expansion in services resulted
                                                                                                                                        period, the regional hospital having started in August 2004
            in corresponding increases in laboratory costs and human
                                                                                                                                        and having only 112 patients by end of 2005. The district
            resource implications. Consultation times for HIV/AIDS care
                                                                                                                                        hospital commenced its roll-out in June 2005. Moreover, seeing
            became significantly longer, placing more pressure on the clinic
                                                                                                                                        that South Africa is trying to decentralise the ART roll-out
            sisters (Table III). Meanwhile, consultation times at hospitals
                                                                                                                                        by getting PHC clinics to administer treatment, ART should
            became more comparable for HIV/AIDS care and other types
                                                                                                                                        theoretically decrease the burden on inpatient services and will
            of care. The trend of an increasing burden on clinics is likely to
                                                                                                                                        increase the burden on outpatient services. Again, outpatient
            continue as HIV/AIDS care becomes more integrated and new
                                                                                                                                        services will need to be strengthened.
            interventions are decentralised to lower levels of the system.
                                                                                                                                           Third, utilisation of services does not reflect the demand
            Other anticipated shifts in the burden of care, such as that from
                                                                                                                                        for services, owing to barriers to access. While in accordance
            inpatient care to outpatient care, were not evident at this stage.
                                                                                                                                        with epidemiological trends we expected a greater number of
              Making sense of the costing results from this research and
                                                                                                                                        patients to access HIV-related care, utilisation patterns look
            those of previous studies has not always been straightforward,
                                                                                                                                        fairly stable over time. This indicates that people are either
                                                                                                                                        facing barriers to accessing care or choosing to not access
               Table III. Staff consultation times according to assessed                                                                it. Either way, it implies a high community burden of care.
               HIV status at different levels of care over time
                                                                                                                                        Potential reasons for this situation came out during interviews
                                                        Consultation time (min)                                                         and have been noted in previous studies, such as costs, stigma
                       PHC clinics                        District hospital                      Regional hospital                      and health worker behaviour3 (and A Padarath et al., presented
               Phase 1                                                                                                                  at the 3rd Public Health Conference 2006, Midrand, 15 - 17
                 HIV –ve 7.5                                       5.8                                  9.8                             May, unpublished). Currently these barriers have implications
                 HIV +ve 8.9                                       7.4                                  12.7                                                                                                   471
                                                                                                                                        for ART coverage, since people are required to travel to a
                         p<0.01                                    p<0.01                               p<0.01
                                                                                                                                        health facility frequently to collect their medication.
               Phase 3
                 HIV –ve 6.4                                       5.7                                  9.6                               Finally, there is a real need for information that can enhance
                 HIV +ve 11.4                                      6.4                                  9.3                             adaptive management. Managing resources has become
                         p<0.01                                    p=0.06                               p=0.97                          particularly difficult in the context of HIV/AIDS and is




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ORIGINAL ARTICLES



          often done based on little information. This study looked                                         4. Gilks C, Floyd K, Otieno L, Adam A, Bhatt S, Warrel D. Some effects of the rising case load
                                                                                                               of adult HIV-related disease on a hospital in Nairobi. J Acquir Immune Defic Syndr Hum
          at the resource implications of managing HIV/AIDS in                                                 Retrovirol 1998; 18(3): 234-240.
                                                                                                            5. Tembo G, Friesan H, Asiimwe-Okiror G, et al. Bed occupancy due to HIV/AIDS in an urban
          health facilities and was able to identify some early trends,                                        hospital medical ward in Uganda. AIDS 1994; 8(8): 1169-1171.
          in particular a shift in the burden from tertiary to primary                                      6. Dorrington R, Bradshaw D, Johnson L, Budlender D. The Demographic Impact of HIV/AIDS
                                                                                                               in South Africa: National Indicators for 2004. Cape Town: Centre for Acturarial Research and
          services. As the ART programme grows we would expect to                                              South African Medical Research Council, 2004.
          see further shifts from inpatient services to outpatient services,                                7. Shisana O, Hall E, Maluleke K, et al. The impact of HIV/AIDS on the health sector: National
                                                                                                               survey of health personnel, ambulatory and hospitalised patients and health facilities, 2002. Report
          but this was not yet evident. These shifts require corresponding                                     prepared for South African Department of Health. Pretoria: Human Sciences Research
                                                                                                               Council Press, 2003. http://www.hsrcpress.ac.za/product.php?productid=1986 (accessed
          changes in resource allocation; however, this imperative will                                        June 2007).
          never become apparent through isolated studies of only one                                        8. Schneider H, Kellerman R, Oyedele S, Dlamini N. HIV Impact Surveillance System Summary
                                                                                                               Report: Design and Data Collection. Johannesburg: Wits School of Public Health and Gauteng
          health facility, which has been the norm until now.                                                  Department of Health, September 2005.
                                                                                                            9. Murray J, Lopez A, Mathers C, Stein C. The Global Burden of Disease 2000 Project: Aims,
          References                                                                                           Methods and Data Sources. Boston: Harvard Burden of Disease Unit, November 2001.
                                                                                                           10. Veenstra N, Oyier A. The burden of HIV-related illness on outpatient health services in
                                                                                                               KwaZulu Natal, South Africa. AIDS Care 2006; 18(3): 262-268.
           1. SA Department of Health. National HIV and Syphilis Prevalence Survey South Africa 2005.
              Pretoria: South African Department of Health, 2006.                                          11. Health and Development Africa (HDA). Study of the Health Service Burden of HIV and AIDS
                                                                                                               and Impact of HIV and AIDS on the Health Sector in Swaziland. Johannesburg: Health and
           2. Hassig S, Perriens J, Baende E, et al. An analysis of the economic impact of HIV infection
                                                                                                               Development Africa (Pty) Ltd/JTK Associates, 2005.
              among patients at Mama Yemo Hospital, Kinshasa, Zaire. AIDS 1990; 4(9): 883-887.
                                                                                                           12. Mburu F, Naidoo S. Impact of HIV/AIDS on mortality among the inpatients at Motebang
           3. Arthur G, Bhatt S, Muhindi D, Achiya G, Kariuki S, Gilks C. The changing impact of HIV/
                                                                                                               Hospital, Lesotho. Southern African Journal of HIV Medicine 2004; 16: 33-37.
              AIDS on Kenyatta National Hospital, Nairobi from 1988/89 through 1992 to 1997. AIDS 2000;
              14(11): 1625-1631.




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The evolving imact of hiv aids on outpatient health servies in kwazulu natal 1167

  • 1. ORIGINAL ARTICLES The evolving impact of HIV/AIDS on outpatient health services in KwaZulu-Natal, South Africa Anokhi Parikh, Nina Veenstra Background and objective. The high HIV prevalence in determined by a clinical diagnosis (and test result where KwaZulu-Natal (KZN) places immense pressure on the available). The burden was also measured by looking at the health system. The burden of HIV/AIDS on health services types of diseases presenting at outpatient facilities. Moreover, is evolving as the epidemic progresses and as antiretroviral the study assessed the burden experienced by health care treatment becomes more widely available. For health policy workers and financial implications for health facilities. makers and managers, timely and appropriate information is Results and conclusions. The study demonstrates that the needed to facilitate adaptive management of health services. burden on outpatient services is significant but has not been Through longitudinal research covering outpatient health increasing over time, suggesting that people are not accessing services in KZN we examined the dynamics of the evolving care if and when they need it. However, in terms of resources, HIV/AIDS burden and the resource implications of this this burden has been increasing and shifting from tertiary burden, necessary for resource allocation decisions. services to more primary services. In order to accommodate Methods. Data were collected between 2004 and 2005 in the demands of HIV/AIDS, our focus therefore needs to turn outpatient services across six health facilities in the province. towards outpatient services, in particular at the primary care The burden of HIV/AIDS was measured by assessing level. the proportion of outpatients presenting as HIV positive, S Afr Med J 2008; 98: 468-472. At 39.1% KwaZulu-Natal (KZN) has the highest antenatal care (PHC) facilities across four South African provinces.7 clinic prevalence of any South African province,1 which has Patients attending two PHC clinics in Gauteng were all tested enormous implications in terms of a high burden for health and the HIV prevalences found to be 34% and 36%.8 Although services. We should be prepared for increases in the demand illuminating, data from one point in time do not capture the for health care for a decade or more even once HIV prevalence dynamics of the burden and do not assess how the prevalence rates decline, since many people are in the earlier stages of translates to a resource burden, which is crucial for planning. infection and asymptomatic. We set out to investigate how the burden of HIV/AIDS Several studies have looked at the burden of HIV on health on outpatient health services is changing over time using services all over sub-Saharan Africa2-5 and have elicited one data from KZN. We attempted to capture the pressures particularly startling insight: a steep rise in the HIV/AIDS that HIV is placing on the health services by assessing the burden on health care facilities in the late 1980s, with apparent proportion of patients accessing HIV-related care and the stabilisation of burden in later years. This finding contrasts consequent resource implications. Understanding this is with epidemiological trends, which predict that the burden essential for the system to plan and respond appropriately to should have increased markedly owing to the time lag changes. Although the fieldwork was undertaken as the ART between HIV infection and the stage at which opportunistic programme commenced in many health facilities, there were infections are experienced.6 Some of this burden on inpatient signs of trends that might be experienced as it expands. services will be alleviated as antiretroviral therapy (ART) coverage improves. These papers have focused almost entirely Methodology on inpatient services and tertiary hospitals, with little data available on district health services or outpatient services. Only Sampling two studies looked at outpatient services. An HIV prevalence This study was conducted in Ugu district of KZN, from of 25.7% was found among patients visiting primary health which sample facilities were selected and a referral pattern was tracked. The district was chosen because it has a regional 468 Health Economics and HIV/AIDS Research Division, University of KwaZulu-Natal, Durban hospital, which ensures urban and rural representation, avoids Anokhi Parikh, MSc problems of a dispersed referral system and has an ARV roll- Nina Veenstra, MPH out site. This ensured that the district was representative of health districts in the province in terms of its disease profile and complement of health facilities, and also that it has similar demographic and economic profiles to those of the province as Corresponding author: A Parikh (anokhip@gmail.com) a whole. June 2008, Vol. 98, No. 6 SAMJ Pg468-472.indd 468 12/9/08 11:26:51 AM
  • 2. ORIGINAL ARTICLES Three phases of data collection occurred at 6-month intervals Table I. Sample size and sample characteristics by and spanned an 18-month period between July 2004 and level of care and phase of study December 2005. Six facilities participated in all three phases of Level of care Phase 1 Phase 2 Phase 3 the study – 1 regional hospital, 1 district hospital, and 4 PHC clinics – allowing analyses of trends in these facilities. Data Primary health care clinics (4) No. of patient visits 654 754 650 were collected at inpatient and outpatient facilities to capture sampled the interaction of various levels of care, though this paper Mean age (yrs) 29.7 29.0 37.3 focuses on the latter. % female 70.0 69.1 74.4 District hospital (1) Sampling of health facilities for data collection was done No. of patient visits 190 186 142 by identifying the most representative district, regional and sampled tertiary level hospitals. Clinics were stratified according to their Mean age (yrs) 33.4 33.0 41.3 supervising hospital and then randomly sampled, to include % female 58.3 52.7 58.0 2 clinics under the regional hospital and 2 clinics under the Regional hospital (1) No. of patient visits 319 393 268 district hospital. sampled For each phase of the research, the research team visited Mean age (yrs) 40.3 42.1 46.0 each facility in the sample for a 2-day period. Since general % female 57.4 56.5 56.7 outpatient services in South Africa function with no special clinics on specific days, it made little difference which days the To analyse the types of diseases presenting at outpatient team chose to visit. Out of consideration for the over-worked facilities, the primary or first recorded diagnosis was health workers, Mondays and other days when facilities were considered. Grouping of diagnoses follows that used in Burden short-staffed or undergoing any change were avoided. of Disease studies, based on the International Classification Fieldworkers stationed at key points in the facility (e.g. of Diseases No. 10.9 Patients presenting with an opportunistic outpatient clinic, casualty, tuberculosis drop-in centres, medical infection and HIV positive according to clinical and/or and paediatric wards) obtained information on each patient laboratory diagnosis were allocated to the category of ‘HIV/ passing through the facility. Information collected included AIDS’. demographic details, medical diagnosis, HIV status (according The concept of the ‘burden’ of HIV/AIDS becomes more to clinical diagnosis, WHO staging, and HIV test where meaningful when considering its resource implications. The available), history of treatment and investigations, outcome study looked at the burden experienced by health care workers of illness episode and movement through the health system and financial implications for health facilities. Focus groups/ (Table I). interviews with medical staff were conducted to explore how health care workers have adapted and are adapting to Measuring burden changing conditions. Owing to the limited availability of health The burden of HIV/AIDS was measured by assessing the care workers, inclusion criteria for focus groups and interviews proportion of outpatients presenting as HIV positive as rested largely on individuals’ willingness to participate and determined by clinical diagnosis and reference to laboratory their time available. These interviews were essential as it tests. The rationale for not attempting to test all patients was cannot be assumed that the proportion of patients seeking care because South Africa has reached a stage in the HIV/AIDS for HIV-related illnesses reflects the workload created by these epidemic where high prevalence rates are being recorded and patients, since HIV-related illness is complicated to manage. HIV testing is conducted for most patients who, from clinical Secondly, pressures on health care workers depend on a whole signs and symptoms, are thought to be infected. Testing all host of factors, many not related to HIV/AIDS. patients attending health care facilities for HIV infection The analysis of financial resource utilisation was based on has a high risk of overestimating the burden of care, since assessed HIV prevalence. A limited number of cost categories people may be HIV positive but may not be accessing HIV- were examined: personnel costs (in terms of consultation time), related care. It is more reliable to use existing HIV test results drug costs, laboratory costs, and radiological investigation supplemented by a clinical diagnosis, because of improving costs. Costing data were obtained through the Provincial coverage of voluntary counselling and testing (VCT). More Laboratory Services (laboratory investigations), Provincial than half of patients thought to be HIV positive on clinical 469 Medical Supplies (drug costs), and the Kind Edward Radiology signs and symptoms had been confirmed as positive with a Department (radiological investigations).10 test. In contrast, among patients not clinically infected, less The Medical Research Ethics Committee, University of than 1% disclosed having been tested to the clinician managing KwaZulu-Natal, gave ethical clearance for this study. their illness. June 2008, Vol. 98, No. 6 SAMJ Pg468-472.indd 469 12/9/08 11:26:52 AM
  • 3. ORIGINAL ARTICLES Results and discussion Proportion of patients presenting with HIV using the burden of disease methodology HIV prevalence in outpatient health facilities based Analysis of different diseases for which patients accessed on clinical and laboratory diagnosis outpatient services shows that HIV places a moderate burden The proportion of patients recorded as HIV positive for each on outpatient services, with 8 - 22% of patients accessing HIV- level of care over time indicates that: there is a high proportion related care. Although the types of patients seen at different of patients recorded as HIV positive for each level of care; the visits varied, there was no appreciable increase in the burden proportion of HIV-positive patients has not increased over time of HIV/AIDS across all levels of care. There was a statistically as expected, and the prevalence is the highest in the regional significant decline of burden observed in PHC clinics between hospital and lowest in PHC clinics (Table II). the end of 2004 and early 2005, which are consistent with the The proportion of outpatients presenting as HIV positive findings in Table II (Fig. 1). in 2004 is comparable to another study which found the The proportion of patients presenting with HIV was prevalence in PHC clinics in South Africa to be 25.7% in 2002.7 generally higher at the hospitals than at the clinics, but was Similarly, inpatient prevalence in this study ranged from 46.9% lower than in previous studies7,8 and indeed lower than the to 54.5% in 2004 and is consistent with the 46.2% prevalence burden measured by prevalence in Table II, something that recorded by Shisana et al.7 would be expected in a high-prevalence context. The lack of While the prevalence of HIV infection in all health care increase over time concur with suspicions of a rising burden facilities was high, it did not increase during the duration of AIDS illness in communities, a finding documented from of the research. In inpatient services (data not shown) the Kenya, Lesotho and Swaziland.3,11-12 percentage was stable over time in both district and regional Resource implications of the HIV/AIDS burden hospitals. In outpatient services it even appeared to decline, but this decline was not always statistically significant. Ninety- Our assessment of the resource implications of the burden of five per cent confidence intervals (CIs) for data obtained at the HIV/AIDS was based on assessed HIV prevalence. Costing hospitals (both district and regional) exhibited some degree data indicated that while care for HIV/AIDS patients was of overlap over the three phases of the research. Only at the frequently more expensive than care for other types of patients, clinic level did the proportion of outpatients presenting as this was not always the case. Inpatient care in particular had HIV positive register a statistically significant decline between a tendency to be equally resource-intensive for both types late 2004 and early 2005. This is probably attributable to two of patients, the exception being at lower-level hospitals. contextual factors. During the first round of fieldwork we Outpatient care, on the other hand, was nearly always more noted a large number of patients requesting disability grants expensive if it was HIV-related (Fig. 2). This trend is readily for their HIV status. Rumour had spread that a positive test explained since HIV/AIDS generally manifests itself in more result was all that was needed to access this grant, and such complex ways than other health conditions managed by lower- misconceptions were only cleared later. Secondly, ART was level hospitals and outpatient care services. implemented in two hospitals in the region at this time and it is Costing at outpatient facilities identified expected early unclear to what extent this encouraged people to be tested and trends as the ART programme expands, including a shift in the further managed. burden from tertiary care to more primary care (Fig. 2). In the Fig. 1. Trends in the burden of disease presenting at outpatient services at different levels of care Significant variations between levels of care, with the first phase, costs of treating HIV/AIDS patients were similar over time. prevalence rate being lowest among PHC clinics, is not a surprising result as patients with higher levels of morbidity 100% 90% tend to access hospital level care. 80% 70% 60% Table II. Trends in the proportion of outpatients 50% 20% presenting 40% 13% as HIV positive by level of care over time (95% CI) 30% 14% 7% 8% 22% 20% 18% 20% 15% Level of care % HIV positive % HIV positive % HIV positive 10% 0% July - Sept 04 Jan - March 05 July - Sept 05 470 PHC PHC PHC clinics Jul- clinics clinics Jul- District hospital District hospital District hospital Regional Regional Regional hospital hospital hospital Sep 04 Jan-Mar Sep 05 Jul-Sep Jan-Mar Jul-Sep July-Sep Jan-Mar Jul-Sep PHC clinics 20.2% 10.1% 11.8% 05 04 05 05 04 05 05 Routine (family planning/antenatal care/immunisations) (17.2 - 23.5) (8.1 - 12.5) (9.5 - 14.6) Undeterminable District 24.5% 19.9% 15.5% Injuries Nonconmmunicable diseases hospital (18.6 - 31.2) (14.4 - 26.4) (10.0 - 22.5) HIV/AIDS Communicable, maternal, perinatal and nutritional conditions (excl HIV) Regional 23.5% 23.4% 19.8% hospital (18.9 - 28.5) (19.4 - 28.0) (15.2 - 25.1) Fig. 1. Trends in the burden of disease presenting at outpatient services at different levels of care over time. June 2008, Vol. 98, No. 6 SAMJ Pg468-472.indd 470 12/9/08 11:26:56 AM
  • 4. ORIGINAL ARTICLES Fig. 2. Trends in average costs for HIV- and non-HIV related outpatient care at different levels of the system over time. 140.00 simply because the costs of treatment vary according to a Drug costs HIV Drug costs non-HIV whole host of factors, which differ between individual health Laboratory costs HIV Laboratory costs non-HIV 120.00 Radiology costs HIV Radiology costs non-HIV facilities and levels of care. Importantly, these factors are not 100.00 only determinants for costs, but also for human resource and infrastructure requirements more generally. According to the 80.00 findings of this research, they include availability of inputs Rands 60.00 to care, rationing by health care providers, rationing by users (with suspicions that the more ill individuals were the ones not 40.00 managing to seek care), clinical staging and nature of treatment 20.00 (i.e. prophylactic or curative), and level of care. 0.00 PHC clinics July-Sep 04 PHC clinics July-Sep 05 District hospital District hospital July-Sep 04 July-Sep 05 Regional hospital Regional hospital July-Sep 04 July-Sep 05 Conclusion and policy implications This research demonstrated that the burden on outpatient Fig. 2. Trends in average costs for HIV- and non-HIV-related outpatient care at different levels of the system over time. services in the district was not increasing over time as one would expect, although the resource burden did increase. to the costs of treating other types of patients at PHC clinics As these results come from one district in KZN they may not but were higher in hospitals. Over time, the costs of treating be generalisable to the whole province or country. Nonetheless, HIV patients increased across all cost categories while the cost a number of policy-relevant lessons can be learned. First, while of treating non-HIV patients remained unchanged. The high the burden has not been increasing, it is still high, in that a radiology costs at district hospital in the first phase are due to large number of patients are seeking HIV-related care. This a handful of expensive investigations for a small number of burden is higher if the resource implications are considered, patients. because HIV patients cost more than non-HIV patients in terms The services offered at clinics had expanded during of financial and human resources. In strengthening the health this time to offer CD4 testing, pretreatment counselling system, outpatient services must therefore not be neglected. and dry blood spot polymerase chain reaction (PCR) for Second, the trends that are being observed are not due to infants on the prevention of mother-to-child transmission ART as the roll-out had not quite taken off during the study (PMTCT) programme. This expansion in services resulted period, the regional hospital having started in August 2004 in corresponding increases in laboratory costs and human and having only 112 patients by end of 2005. The district resource implications. Consultation times for HIV/AIDS care hospital commenced its roll-out in June 2005. Moreover, seeing became significantly longer, placing more pressure on the clinic that South Africa is trying to decentralise the ART roll-out sisters (Table III). Meanwhile, consultation times at hospitals by getting PHC clinics to administer treatment, ART should became more comparable for HIV/AIDS care and other types theoretically decrease the burden on inpatient services and will of care. The trend of an increasing burden on clinics is likely to increase the burden on outpatient services. Again, outpatient continue as HIV/AIDS care becomes more integrated and new services will need to be strengthened. interventions are decentralised to lower levels of the system. Third, utilisation of services does not reflect the demand Other anticipated shifts in the burden of care, such as that from for services, owing to barriers to access. While in accordance inpatient care to outpatient care, were not evident at this stage. with epidemiological trends we expected a greater number of Making sense of the costing results from this research and patients to access HIV-related care, utilisation patterns look those of previous studies has not always been straightforward, fairly stable over time. This indicates that people are either facing barriers to accessing care or choosing to not access Table III. Staff consultation times according to assessed it. Either way, it implies a high community burden of care. HIV status at different levels of care over time Potential reasons for this situation came out during interviews Consultation time (min) and have been noted in previous studies, such as costs, stigma PHC clinics District hospital Regional hospital and health worker behaviour3 (and A Padarath et al., presented Phase 1 at the 3rd Public Health Conference 2006, Midrand, 15 - 17 HIV –ve 7.5 5.8 9.8 May, unpublished). Currently these barriers have implications HIV +ve 8.9 7.4 12.7 471 for ART coverage, since people are required to travel to a p<0.01 p<0.01 p<0.01 health facility frequently to collect their medication. Phase 3 HIV –ve 6.4 5.7 9.6 Finally, there is a real need for information that can enhance HIV +ve 11.4 6.4 9.3 adaptive management. Managing resources has become p<0.01 p=0.06 p=0.97 particularly difficult in the context of HIV/AIDS and is June 2008, Vol. 98, No. 6 SAMJ Pg468-472.indd 471 12/9/08 11:27:01 AM
  • 5. ORIGINAL ARTICLES often done based on little information. This study looked 4. Gilks C, Floyd K, Otieno L, Adam A, Bhatt S, Warrel D. Some effects of the rising case load of adult HIV-related disease on a hospital in Nairobi. J Acquir Immune Defic Syndr Hum at the resource implications of managing HIV/AIDS in Retrovirol 1998; 18(3): 234-240. 5. Tembo G, Friesan H, Asiimwe-Okiror G, et al. Bed occupancy due to HIV/AIDS in an urban health facilities and was able to identify some early trends, hospital medical ward in Uganda. AIDS 1994; 8(8): 1169-1171. in particular a shift in the burden from tertiary to primary 6. Dorrington R, Bradshaw D, Johnson L, Budlender D. The Demographic Impact of HIV/AIDS in South Africa: National Indicators for 2004. Cape Town: Centre for Acturarial Research and services. As the ART programme grows we would expect to South African Medical Research Council, 2004. see further shifts from inpatient services to outpatient services, 7. Shisana O, Hall E, Maluleke K, et al. The impact of HIV/AIDS on the health sector: National survey of health personnel, ambulatory and hospitalised patients and health facilities, 2002. Report but this was not yet evident. These shifts require corresponding prepared for South African Department of Health. Pretoria: Human Sciences Research Council Press, 2003. http://www.hsrcpress.ac.za/product.php?productid=1986 (accessed changes in resource allocation; however, this imperative will June 2007). never become apparent through isolated studies of only one 8. Schneider H, Kellerman R, Oyedele S, Dlamini N. HIV Impact Surveillance System Summary Report: Design and Data Collection. Johannesburg: Wits School of Public Health and Gauteng health facility, which has been the norm until now. Department of Health, September 2005. 9. Murray J, Lopez A, Mathers C, Stein C. The Global Burden of Disease 2000 Project: Aims, References Methods and Data Sources. Boston: Harvard Burden of Disease Unit, November 2001. 10. Veenstra N, Oyier A. The burden of HIV-related illness on outpatient health services in KwaZulu Natal, South Africa. AIDS Care 2006; 18(3): 262-268. 1. SA Department of Health. National HIV and Syphilis Prevalence Survey South Africa 2005. Pretoria: South African Department of Health, 2006. 11. Health and Development Africa (HDA). Study of the Health Service Burden of HIV and AIDS and Impact of HIV and AIDS on the Health Sector in Swaziland. Johannesburg: Health and 2. Hassig S, Perriens J, Baende E, et al. An analysis of the economic impact of HIV infection Development Africa (Pty) Ltd/JTK Associates, 2005. among patients at Mama Yemo Hospital, Kinshasa, Zaire. AIDS 1990; 4(9): 883-887. 12. Mburu F, Naidoo S. Impact of HIV/AIDS on mortality among the inpatients at Motebang 3. Arthur G, Bhatt S, Muhindi D, Achiya G, Kariuki S, Gilks C. The changing impact of HIV/ Hospital, Lesotho. Southern African Journal of HIV Medicine 2004; 16: 33-37. AIDS on Kenyatta National Hospital, Nairobi from 1988/89 through 1992 to 1997. AIDS 2000; 14(11): 1625-1631. 472 June 2008, Vol. 98, No. 6 SAMJ Pg468-472.indd 472 12/9/08 11:27:02 AM