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FACTORS ASSOCIATED WITH HUMAN IMMUNODEFICIENCY VIRUS
COUNSELLING AND TESTING ACCEPTANCE AND UPTAKE AMONG
          YOUTH IN KUMASI METROPOLIS, GHANA




                      EVA DEDEI TAGOE-DARKO

                    CHARLOTTE MONICA MENSAH

                      RAZAK MOHAMMED GYASI




DEPARTMENT OF GEOGRAPHY AND RURAL DEVELOPMENT, COLLEGE OF ART AND
SOCIAL SCIENCES, FACULTY OF SOCIAL SCIENCES, KWAME NKRUMAH UNIVERSITY
              OF SCIENCE AND TECHNOLOGY, KUMASI, GHANA




                       E-mail: binghi_econ@yahoo.com

                         Mob: 0322 (0) 208 545 052




                                                                    1
1. Introduction

Sub-Saharan Africa continues to bear a disproportionate share of the global HIV burden. In

mid-2010, about 68% of all people living with HIV resided in sub-Saharan Africa, a region

with only 12% of the global population (WHO/UNAIDS, 2012). HIV/AIDS pandemic

significantly and unabatedly continues to spread in many parts of Africa. Ghana is identified

as one of the countries with the lowest official HIV prevalence rate of 1.9%, where an

estimated 260,000 Ghanaians were living with HIV/AIDS by the end of 2009, whilst 23,236

new infections occurred in the same year (WHO/UNAIDS, 2012). Notwithstanding, the

prevalence rate among Ghanaian youth (15 – 24 year olds) increased from 1.9% in 2008 to

2.1% in 2009 (GHS and MoH, 2009). Moreover, AIDS has been identified as one of the

highest causes of mortality in Ghana, claiming about 21,000 lives in 2007 (UNAIDS, 2008).

The Ghana AIDS Commission (2010) estimated that about 1.2 million of the projected 25

million Ghanaians will be living with HIV/AIDS by the end of 2014.



This HIV/AIDS prevalence and mortality rates pose a great threat to Ghana‘s development

agenda. The pressure on Government of Ghana (GoG) to develop the country is exacerbated,

considering the amount of resources being channelled to HIV/AIDS prevention and

treatment. In 2008, for instance, the GoG spent $38,850,940 on HIV/AIDS and the annual

cost of treating HIV/AIDS opportunistic infections is also expected to triple by the year 2014

(MoH, 2001; Ghana AIDS Commission, 2010; 2008). Barnett and Whiteside (2006) have

also indicated that Ghana and other countries, south of Sahara are not likely to meet the

health-related Millennium Development Goals (MDGs)1 by 2015 because HIV/AIDS-

induced infant, mother-to-child-transmission and child mortality will continue to increase in

the years ahead. Consequently, the Ghana AIDS Commission (2010) has identified the need

1
 The three health-related MDGs include goals 4, 5 and 6 of reducing infant mortality, improving maternal
health and combating HIV/AIDS, malaria and other diseases respectively.

                                                                                                           2
for a combination of evidence informed and targeted interventions in HIV programme as key

for effective HIV prevention and treatment. In this regard, the GoG adopted Counselling and

Testing (CT) in 2003 as a conduit to complement ongoing ABC HIV prevention campaigns

(UNAIDS, 2000). HIV CT is the process by which an individual undergoes confidential

counselling, enabling him or her to cope with stress and make an informed choice about

being tested for HIV and to take appropriate action thereof (UNAIDS, 2000; UNFPA and

IPPF, 2004).



In recent years, testing for HIV, in combination with pre- and post-test counselling, has

become increasingly important in national and international prevention and care efforts. CT

has been recognized as the crux of HIV surveillance, prevention and treatment programs

(WHO/UNAIDS, 2009). The benefits of HIV CT are manifold and well documented in the

literature. Denison et al., (2008), in their study on the voluntary counselling and testing and

behavioural risk reduction in developing countries, point out that CT serves as an effective

prevention strategy for HIV-1 since the combined effect of one‘s knowledge of their HIV

status and counselling under CT helps individuals change their behaviour to skirmish further

transmission of the virus. Additionally, when an individual tests seronegative high quality

counselling helps them to maintain a lifestyle that will keep them seronegative (Denison et

al., 2008; Wolitski et al., 1997; Baggaley, 2001; de Paula et al., 2008; 2010). Baggaley

(2001) has explicated the need for HIV prevention to address injecting drug use and

homosexual transmission. Individuals who test HIV positive after an HIV CT have the

chance to access medical treatment that can prevent mortality. This is a way of ensuring that

HIV seropositive people stay longer to contribute their quota to the development agenda of

their countries and the world at large (Baggaley, 2001). Moreover, knowledge of serostatus

through CT can be a motivating force for HIV-positive and-negative people alike to adopt


                                                                                             3
safer sexual behaviour, which enables seropositive people to prevent their sexual partners

from getting infected and those who test seronegative to remain negative (Ghana Statistical

Service [GSS], 2008; UNAIDS, 2001; WHO/UNAIDS, 2007; UNFPA and IPPF, 2004).



Lack of knowledge of serostatus by people living with HIV is a major obstacle to actualizing

the goal of universal access to treatment and prevention. A significant proportion of people

living with HIV continues to present late for treatment because they are unaware that they are

seropositive (Cohen, 2008; UNFPA, 2002), thus reducing the effectiveness of antiretroviral

therapy on morbidity, survival and preventing HIV infection.



Since 2003, GoG has launched a number of HIV prevention and treatment programs

including CT services (Koku, 2010). In the face of these efforts vis-avis the benefits of CT,

desire for and uptake of HIV testing remains disproportionately low. The Ghana

Demographic and Health Survey found that 14% of men and 21% of women aged, 15-49

have ever undergone HIV CT. Moreover, only 7% and 4% of women and men respectively of

those recently tested have received results (GSS, 2008). The relatable factors that influence

the decision to accept CT are mixed and still far from comprehension. Studies have correlated

poor intention of testing in general to such psycho-social and physical factors as

psychological and emotional trauma experienced by the seropositive individual or the fear of

testing outcomes, lack of confidentiality, proximity and access to CT site and HIV-related

stigmatization and discrimination experienced by seropositive people leading to loss of

family and employment (Koku, 2010; Mansergh et al., 1998; Dannenbueg et al., 1996;

Maman et al., 2000 and Yeager et al., 2000; Nuwaha et al., 2002; Kalichman and Simbayi,

2003). Others include socio-demographic and economic determinants such as age (Shisana et

al, 2005; Hutchinson and Mahlalela, 2006; Ma et al, 2007; Wringe et al, 2008; Bwambale et


                                                                                            4
al, 2008) marital status, educational level, occupation, household wealth, and area of

residence (Hutchinson and Mahlalela, 2006; Wringe et al, 2008; Gage and Ali, 2005; Haile et

al, 2008).



Research has shown that the introduction of routine testing has particularly increased testing

experience among women through prevention of mother-to-child transmission programs

(Byamugisha et al, 2010a; Chandisarewa et al, 2007). Conversely, men are reluctant and thus

do not show up to the antenatal clinics with their wives for CT (Falnes et al, 2011;

Byamugisha et al, 2010b; Theuring et al, 2009). Improving CT utilization by men has the

potency to influence directly or indirectly women’s CT utilization (Demissie et al, 2009; Lata

et al, 2012). There is thus urgent need to understand the predictors of acceptability and

uptake of HIV CT by men since it connotes with nitty-gritty for designing policy measures

and options to stem future spread of HIV infections and foster its treatment, care and support.



The 2009 national Official HIV Sentinel Survey conducted by Ghana AIDS Commission

revealed that the Ashanti Region recorded 3.0% prevalence rate of HIV with 4.0% in the

capital city, Kumasi (Ghana AIDS Commission, 2010). What makes the situation more

looming is the fact that most of the young people in the area are express little willingness to

accept and uptake HIV CT to ascertain their HIV serostatus. Campaigns that entreat them to

know their status have been coldly and grimly embraced, and CT services that are taken to

the various communities have recorded minimal turn out rates. The possible consequence of

this is that most of these young folks ignorantly spread the disease. Nevertheless, studies on

HIV CT in Ghana have focused on the other side of the subject; see Wyss et al. (2007),

Holmes et al. (2008), Appiah et al. (2009) and Koku (2010). This informed the thesis and the

locus of this research and the selection of Kumasi Metropolis as the study prefecture.


                                                                                              5
2. Methods

2.1 Study setting

The study will be conducted between December, 2012 and March, 2013 in the Kumasi

Metropolitan District of Ashanti Region, Ghana. This is one of the 27 political and

administrative districts in the Ashanti Region with Kumasi as capital. The Metropolis is

located in the transitional moist semi-deciduous forest zone and spans an area of 254km2

forming approximately 1.04% of the total landmass of the region. It is located in the south-

central portion of Ashanti Region. The Metropolis shares boundaries with Afigya Kwabre

and Kwabre East Districts to the North, Ejisu-Juaben to the East, Atwima Kwanwoma to the

south and Atwima Nwabiagya District to the West. Specifically, the Metropolis stretches

between latitude 6.35o – 6.40o and longitude 1.30o – 1.35o, an elevation which ranges

between 250 – 300 metres above sea level (see figure 1) (KMA/Ghana District, 2012). The

predominant economic activities in the Metropolis are trading, commerce and other services.

The unique centrality of Kumasi as a traversing point from all parts of the country makes it a

special place for many to migrate to. Kumasi is the most populous district in the region and

accounts for almost a third of the region’s population. According to the 2010 Population and

Housing Census Report, Kumasi accommodates a total of 2,035,064 people, reflecting an

inter-censal growth rate of 5.4% (GSS, 2012).



The Metropolis is made up of 10 Sub-Metros with 189 health facilities. It is worth noting that

the private sector operates a significant number by taking over 90% share of the facilities.

Komfo Anokye Teaching Hospital (KATH), 1 of the national autonomous hospitals, is

situated in Kumasi Metropolis. There are other 4 quasi-government health institutions, 172

private health institutions and 3 CHAG in the Metropolis (Kumasi Metropolitan Health

Directorate, 2012). These health institutions are evenly distributed across the district to


                                                                                            6
enhance easy access and use of health care services. The common diseases in the Metropolis

include malaria, diarrhoea, HIV/AIDS, tuberculosis, hypertension and diabetes mellitus.

Septic abortion and road traffic accidents also constitute another major challenge to the health

sector (Kumasi Metropolitan Health Directorate, 2012).



Among other services, CT provided at 10 health facilities videlicet, Kumasi South, Suntreso,

Tafo, Manhyia, Bomso Clinic, Aninwaa Medical Centre, KNUST hospital, Kwadaso,

Seventh Day Adventist Hospital and KATH whilst Anti retroviral treatment is provided at the

KATH, the Kumasi South Hospital and the Bomso Clinic only (Kumasi Metropolitan Health

Directorate, 2012).



2.2 Study design and sampling

This retrospective cross-sectional survey will employ triangulation of both quantitative and

qualitative approaches of research. Individuals, both male and female between the age

brackets of 15-29 found in the selected communities in the study prefecture will constitute the

study sample. The target population from which the sample will be drawn is 601,336. A

sample size of 360, representing .061% of the population will be used. A multi-stage

stratified cluster and simple random sampling technique will be utilised to select 6 Sub-

Metros and 12 study settlements from the Metropolis for the study. The selected Sub-Metros

will be Asokwa, Subin, Manhyia, Nhyiaeso, Kwadaso and Oforikrom.



Two communities will be selected randomly from each Sub-Metro for the study. The research

communities will include: Atonsu, Kaase, Asafo, Amakom, Krofrom, Ashanti New Town,

Ayigya, Kotei, Ahodwo, Fankyinebra, Kwadaso and Asuoyeboa (see figure 1). The sub-

sample for each community will be proportionately determined based on population size.


                                                                                              7
Unit of analysis will be households and one (1) respondent will be selected from each

household through systematic random sampling method. The sample interval of the

communities will base on the density of houses and households and that the intervals will be

pegged at 5 for communities with high density of houses and 3 for research settlements with

low house densities. The underpinning factor in the selection of these communities is to

ensure fair and adequate coverage of the Metropolis to boost accuracy and representativeness

of research findings.



2.3 Data collection

Primary data will be sourced and collected from households in the various selected study

communities for this research. In-depth interviews and questionnaire instruments will

respectively be considered in obtaining qualitative and quantitative data in the primary data

collection. The illiterate and semi-literate respondents who find it relatively difficult to read

and interpret the questionnaire guide will be interviewed. However, some literates will have

the option to be interviewed so as to play down possible challenges of call-backs. The

questionnaire and interviews will be translated into Twi, the major language spoken in the

study prefecture and verified by a second translator. Where inconsistencies are found, these

will be corrected. Pre-testing of the questionnaire will be completed with 5 qualified persons

but not be included in the study. However, English will be used to administer the interviews

where necessary. Besides, secondary information will be utilised to place the study in the

context of scholarly world.



Ethical approval will be obtained from the Committee on Human Research and Publication

Ethics, School of Medical Sciences, Kwame Nkrumah University of Science and

Technology, Kumasi prior to the data collection exercise. Israel and Hay (2006) have


                                                                                               8
reverberated that Social Scientists do not have an inalienable right to conduct research

involving other people. The opinion leaders, household heads and respondents in each

selected community will be notified and briefed on the objectives of the research and be

made to sign consent form before the commencement of the data collection. Questionnaire

will be anonymised, with no personal identifying information recorded on them. Also,

contributions made by participants will be treated anonymous and confidential. Besides, a

respondent will reserve the right to withdraw at any point in time or deny certain information

in the course of the interview. Each interview will approximately last for 45 minutes.

Detailed notes will be taken and those in local dialect then translated and back translated into

English for analysis.



2.4 Outcome measures

Respondents will be interviewed with an anonymously structured questionnaire that requests

information on demographic variables, socioeconomic status, knowledge of HIV, HIV risk

history, impact of HIV, HIV CT history and knowledge and determinants of intension to

accept and utilise CT (Peltzer et al, 2009).



The survey will include questions concerning history of HIV antibody testing. These

measures will be used to classify participants into groups based on whether they had been

tested for HIV and know their results. Participants who will report having been tested for

HIV will be made to indicate their HIV awareness status of their most recent test, or that they

did not know the results.



To assess HIV risk history, participants will indicate the number of sex partners they had in

the previous 12 months, had symptoms of a sexually transmitted infection, and whether they


                                                                                              9
have ever used a condom, a condom with their last sexual partner and their last sexual non-

regular partner. All responses will be dichotomous indicating the occurrence or non-

occurrence of each risk factor. A 4-item HIV knowledge test will be used; e.g. is it possible to

transmit HIV through unprotected sex? Response options will be “Yes”, “No”, and “Does not

know”. “Does not know” responses will be scored as “No”; CT knowledge will be assessed

with one item: “Have you ever heard about test for people with HIV called HIV CT?”

Response options will be “Yes” or “No”. A 3-item will be used to measure HIV impact

items; thus, Has anyone in the household ever been diagnosed with HIV/AIDS, is there a

person in the household who is bed-ridden with an AIDS related illness and past year

occurrence of AIDS-related death of household member. Response options will be “Yes” or

“No”. For AIDS stigma attitudes, 4-AIDS-stigma items will be used; “Would you be willing

to care for a family member with AIDS”. Response options were, “Yes”, “No”, or “Do not

know”.



Demographic and social variables linked to HIV CT will be included in the survey. These

will include sex, age, marital status, ethnic background, religious affiliation, and place of

residence whist socioeconomic status included will be household income standing, formal

education completed and employment status.



2.5 Data Analysis

Data analysis will be performed using Predictive Analytic Software (PASW) for Windows

software application program version 17.0. Data will be ordered, edited, coded, and entered

into the software and analysed quantitatively using multiple regression. Stepwise method will

be employed to determine the relative strengths of the independent variables on HIV CT. The

multiple regression analysis will be preceded by a bivariate correlation matrix to examine the


                                                                                             10
strength of associations between the dependent variable HIV CT utilization and relevant

potential predictor variables. The probability (p) value less or equal to 0.05 will be used to

indicate statistical significance in the regression model. Frequencies, means, and standard

deviations will be computed to describe the sample. The qualitative data will be subjected to

a content analysis. The analysis will be done using the grounded-theory approach. This

method is based on techniques to systematically discover categories, themes or patterns that

emerge from the data, through coding and categorisation of information into manageable

units (Strauss and Corbin, 1998). In this respect, the categories for analysis will be drawn

from the interview guides and then, themes and patterns emerge after reviewing the data

within and across groups of respondents (Carey, 1994; Charmaz, 1990). Results will be

presented through direct quotes.



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FACTORS ASSOCIATED WITH HUMAN IMMUNODEFICIENCY VIRUS COUNSELLING AND TESTING ACCEPTANCE AND UPTAKE AMONG YOUTH IN KUMASI METROPOLIS, GHANA

  • 1. FACTORS ASSOCIATED WITH HUMAN IMMUNODEFICIENCY VIRUS COUNSELLING AND TESTING ACCEPTANCE AND UPTAKE AMONG YOUTH IN KUMASI METROPOLIS, GHANA EVA DEDEI TAGOE-DARKO CHARLOTTE MONICA MENSAH RAZAK MOHAMMED GYASI DEPARTMENT OF GEOGRAPHY AND RURAL DEVELOPMENT, COLLEGE OF ART AND SOCIAL SCIENCES, FACULTY OF SOCIAL SCIENCES, KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY, KUMASI, GHANA E-mail: binghi_econ@yahoo.com Mob: 0322 (0) 208 545 052 1
  • 2. 1. Introduction Sub-Saharan Africa continues to bear a disproportionate share of the global HIV burden. In mid-2010, about 68% of all people living with HIV resided in sub-Saharan Africa, a region with only 12% of the global population (WHO/UNAIDS, 2012). HIV/AIDS pandemic significantly and unabatedly continues to spread in many parts of Africa. Ghana is identified as one of the countries with the lowest official HIV prevalence rate of 1.9%, where an estimated 260,000 Ghanaians were living with HIV/AIDS by the end of 2009, whilst 23,236 new infections occurred in the same year (WHO/UNAIDS, 2012). Notwithstanding, the prevalence rate among Ghanaian youth (15 – 24 year olds) increased from 1.9% in 2008 to 2.1% in 2009 (GHS and MoH, 2009). Moreover, AIDS has been identified as one of the highest causes of mortality in Ghana, claiming about 21,000 lives in 2007 (UNAIDS, 2008). The Ghana AIDS Commission (2010) estimated that about 1.2 million of the projected 25 million Ghanaians will be living with HIV/AIDS by the end of 2014. This HIV/AIDS prevalence and mortality rates pose a great threat to Ghana‘s development agenda. The pressure on Government of Ghana (GoG) to develop the country is exacerbated, considering the amount of resources being channelled to HIV/AIDS prevention and treatment. In 2008, for instance, the GoG spent $38,850,940 on HIV/AIDS and the annual cost of treating HIV/AIDS opportunistic infections is also expected to triple by the year 2014 (MoH, 2001; Ghana AIDS Commission, 2010; 2008). Barnett and Whiteside (2006) have also indicated that Ghana and other countries, south of Sahara are not likely to meet the health-related Millennium Development Goals (MDGs)1 by 2015 because HIV/AIDS- induced infant, mother-to-child-transmission and child mortality will continue to increase in the years ahead. Consequently, the Ghana AIDS Commission (2010) has identified the need 1 The three health-related MDGs include goals 4, 5 and 6 of reducing infant mortality, improving maternal health and combating HIV/AIDS, malaria and other diseases respectively. 2
  • 3. for a combination of evidence informed and targeted interventions in HIV programme as key for effective HIV prevention and treatment. In this regard, the GoG adopted Counselling and Testing (CT) in 2003 as a conduit to complement ongoing ABC HIV prevention campaigns (UNAIDS, 2000). HIV CT is the process by which an individual undergoes confidential counselling, enabling him or her to cope with stress and make an informed choice about being tested for HIV and to take appropriate action thereof (UNAIDS, 2000; UNFPA and IPPF, 2004). In recent years, testing for HIV, in combination with pre- and post-test counselling, has become increasingly important in national and international prevention and care efforts. CT has been recognized as the crux of HIV surveillance, prevention and treatment programs (WHO/UNAIDS, 2009). The benefits of HIV CT are manifold and well documented in the literature. Denison et al., (2008), in their study on the voluntary counselling and testing and behavioural risk reduction in developing countries, point out that CT serves as an effective prevention strategy for HIV-1 since the combined effect of one‘s knowledge of their HIV status and counselling under CT helps individuals change their behaviour to skirmish further transmission of the virus. Additionally, when an individual tests seronegative high quality counselling helps them to maintain a lifestyle that will keep them seronegative (Denison et al., 2008; Wolitski et al., 1997; Baggaley, 2001; de Paula et al., 2008; 2010). Baggaley (2001) has explicated the need for HIV prevention to address injecting drug use and homosexual transmission. Individuals who test HIV positive after an HIV CT have the chance to access medical treatment that can prevent mortality. This is a way of ensuring that HIV seropositive people stay longer to contribute their quota to the development agenda of their countries and the world at large (Baggaley, 2001). Moreover, knowledge of serostatus through CT can be a motivating force for HIV-positive and-negative people alike to adopt 3
  • 4. safer sexual behaviour, which enables seropositive people to prevent their sexual partners from getting infected and those who test seronegative to remain negative (Ghana Statistical Service [GSS], 2008; UNAIDS, 2001; WHO/UNAIDS, 2007; UNFPA and IPPF, 2004). Lack of knowledge of serostatus by people living with HIV is a major obstacle to actualizing the goal of universal access to treatment and prevention. A significant proportion of people living with HIV continues to present late for treatment because they are unaware that they are seropositive (Cohen, 2008; UNFPA, 2002), thus reducing the effectiveness of antiretroviral therapy on morbidity, survival and preventing HIV infection. Since 2003, GoG has launched a number of HIV prevention and treatment programs including CT services (Koku, 2010). In the face of these efforts vis-avis the benefits of CT, desire for and uptake of HIV testing remains disproportionately low. The Ghana Demographic and Health Survey found that 14% of men and 21% of women aged, 15-49 have ever undergone HIV CT. Moreover, only 7% and 4% of women and men respectively of those recently tested have received results (GSS, 2008). The relatable factors that influence the decision to accept CT are mixed and still far from comprehension. Studies have correlated poor intention of testing in general to such psycho-social and physical factors as psychological and emotional trauma experienced by the seropositive individual or the fear of testing outcomes, lack of confidentiality, proximity and access to CT site and HIV-related stigmatization and discrimination experienced by seropositive people leading to loss of family and employment (Koku, 2010; Mansergh et al., 1998; Dannenbueg et al., 1996; Maman et al., 2000 and Yeager et al., 2000; Nuwaha et al., 2002; Kalichman and Simbayi, 2003). Others include socio-demographic and economic determinants such as age (Shisana et al, 2005; Hutchinson and Mahlalela, 2006; Ma et al, 2007; Wringe et al, 2008; Bwambale et 4
  • 5. al, 2008) marital status, educational level, occupation, household wealth, and area of residence (Hutchinson and Mahlalela, 2006; Wringe et al, 2008; Gage and Ali, 2005; Haile et al, 2008). Research has shown that the introduction of routine testing has particularly increased testing experience among women through prevention of mother-to-child transmission programs (Byamugisha et al, 2010a; Chandisarewa et al, 2007). Conversely, men are reluctant and thus do not show up to the antenatal clinics with their wives for CT (Falnes et al, 2011; Byamugisha et al, 2010b; Theuring et al, 2009). Improving CT utilization by men has the potency to influence directly or indirectly women’s CT utilization (Demissie et al, 2009; Lata et al, 2012). There is thus urgent need to understand the predictors of acceptability and uptake of HIV CT by men since it connotes with nitty-gritty for designing policy measures and options to stem future spread of HIV infections and foster its treatment, care and support. The 2009 national Official HIV Sentinel Survey conducted by Ghana AIDS Commission revealed that the Ashanti Region recorded 3.0% prevalence rate of HIV with 4.0% in the capital city, Kumasi (Ghana AIDS Commission, 2010). What makes the situation more looming is the fact that most of the young people in the area are express little willingness to accept and uptake HIV CT to ascertain their HIV serostatus. Campaigns that entreat them to know their status have been coldly and grimly embraced, and CT services that are taken to the various communities have recorded minimal turn out rates. The possible consequence of this is that most of these young folks ignorantly spread the disease. Nevertheless, studies on HIV CT in Ghana have focused on the other side of the subject; see Wyss et al. (2007), Holmes et al. (2008), Appiah et al. (2009) and Koku (2010). This informed the thesis and the locus of this research and the selection of Kumasi Metropolis as the study prefecture. 5
  • 6. 2. Methods 2.1 Study setting The study will be conducted between December, 2012 and March, 2013 in the Kumasi Metropolitan District of Ashanti Region, Ghana. This is one of the 27 political and administrative districts in the Ashanti Region with Kumasi as capital. The Metropolis is located in the transitional moist semi-deciduous forest zone and spans an area of 254km2 forming approximately 1.04% of the total landmass of the region. It is located in the south- central portion of Ashanti Region. The Metropolis shares boundaries with Afigya Kwabre and Kwabre East Districts to the North, Ejisu-Juaben to the East, Atwima Kwanwoma to the south and Atwima Nwabiagya District to the West. Specifically, the Metropolis stretches between latitude 6.35o – 6.40o and longitude 1.30o – 1.35o, an elevation which ranges between 250 – 300 metres above sea level (see figure 1) (KMA/Ghana District, 2012). The predominant economic activities in the Metropolis are trading, commerce and other services. The unique centrality of Kumasi as a traversing point from all parts of the country makes it a special place for many to migrate to. Kumasi is the most populous district in the region and accounts for almost a third of the region’s population. According to the 2010 Population and Housing Census Report, Kumasi accommodates a total of 2,035,064 people, reflecting an inter-censal growth rate of 5.4% (GSS, 2012). The Metropolis is made up of 10 Sub-Metros with 189 health facilities. It is worth noting that the private sector operates a significant number by taking over 90% share of the facilities. Komfo Anokye Teaching Hospital (KATH), 1 of the national autonomous hospitals, is situated in Kumasi Metropolis. There are other 4 quasi-government health institutions, 172 private health institutions and 3 CHAG in the Metropolis (Kumasi Metropolitan Health Directorate, 2012). These health institutions are evenly distributed across the district to 6
  • 7. enhance easy access and use of health care services. The common diseases in the Metropolis include malaria, diarrhoea, HIV/AIDS, tuberculosis, hypertension and diabetes mellitus. Septic abortion and road traffic accidents also constitute another major challenge to the health sector (Kumasi Metropolitan Health Directorate, 2012). Among other services, CT provided at 10 health facilities videlicet, Kumasi South, Suntreso, Tafo, Manhyia, Bomso Clinic, Aninwaa Medical Centre, KNUST hospital, Kwadaso, Seventh Day Adventist Hospital and KATH whilst Anti retroviral treatment is provided at the KATH, the Kumasi South Hospital and the Bomso Clinic only (Kumasi Metropolitan Health Directorate, 2012). 2.2 Study design and sampling This retrospective cross-sectional survey will employ triangulation of both quantitative and qualitative approaches of research. Individuals, both male and female between the age brackets of 15-29 found in the selected communities in the study prefecture will constitute the study sample. The target population from which the sample will be drawn is 601,336. A sample size of 360, representing .061% of the population will be used. A multi-stage stratified cluster and simple random sampling technique will be utilised to select 6 Sub- Metros and 12 study settlements from the Metropolis for the study. The selected Sub-Metros will be Asokwa, Subin, Manhyia, Nhyiaeso, Kwadaso and Oforikrom. Two communities will be selected randomly from each Sub-Metro for the study. The research communities will include: Atonsu, Kaase, Asafo, Amakom, Krofrom, Ashanti New Town, Ayigya, Kotei, Ahodwo, Fankyinebra, Kwadaso and Asuoyeboa (see figure 1). The sub- sample for each community will be proportionately determined based on population size. 7
  • 8. Unit of analysis will be households and one (1) respondent will be selected from each household through systematic random sampling method. The sample interval of the communities will base on the density of houses and households and that the intervals will be pegged at 5 for communities with high density of houses and 3 for research settlements with low house densities. The underpinning factor in the selection of these communities is to ensure fair and adequate coverage of the Metropolis to boost accuracy and representativeness of research findings. 2.3 Data collection Primary data will be sourced and collected from households in the various selected study communities for this research. In-depth interviews and questionnaire instruments will respectively be considered in obtaining qualitative and quantitative data in the primary data collection. The illiterate and semi-literate respondents who find it relatively difficult to read and interpret the questionnaire guide will be interviewed. However, some literates will have the option to be interviewed so as to play down possible challenges of call-backs. The questionnaire and interviews will be translated into Twi, the major language spoken in the study prefecture and verified by a second translator. Where inconsistencies are found, these will be corrected. Pre-testing of the questionnaire will be completed with 5 qualified persons but not be included in the study. However, English will be used to administer the interviews where necessary. Besides, secondary information will be utilised to place the study in the context of scholarly world. Ethical approval will be obtained from the Committee on Human Research and Publication Ethics, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi prior to the data collection exercise. Israel and Hay (2006) have 8
  • 9. reverberated that Social Scientists do not have an inalienable right to conduct research involving other people. The opinion leaders, household heads and respondents in each selected community will be notified and briefed on the objectives of the research and be made to sign consent form before the commencement of the data collection. Questionnaire will be anonymised, with no personal identifying information recorded on them. Also, contributions made by participants will be treated anonymous and confidential. Besides, a respondent will reserve the right to withdraw at any point in time or deny certain information in the course of the interview. Each interview will approximately last for 45 minutes. Detailed notes will be taken and those in local dialect then translated and back translated into English for analysis. 2.4 Outcome measures Respondents will be interviewed with an anonymously structured questionnaire that requests information on demographic variables, socioeconomic status, knowledge of HIV, HIV risk history, impact of HIV, HIV CT history and knowledge and determinants of intension to accept and utilise CT (Peltzer et al, 2009). The survey will include questions concerning history of HIV antibody testing. These measures will be used to classify participants into groups based on whether they had been tested for HIV and know their results. Participants who will report having been tested for HIV will be made to indicate their HIV awareness status of their most recent test, or that they did not know the results. To assess HIV risk history, participants will indicate the number of sex partners they had in the previous 12 months, had symptoms of a sexually transmitted infection, and whether they 9
  • 10. have ever used a condom, a condom with their last sexual partner and their last sexual non- regular partner. All responses will be dichotomous indicating the occurrence or non- occurrence of each risk factor. A 4-item HIV knowledge test will be used; e.g. is it possible to transmit HIV through unprotected sex? Response options will be “Yes”, “No”, and “Does not know”. “Does not know” responses will be scored as “No”; CT knowledge will be assessed with one item: “Have you ever heard about test for people with HIV called HIV CT?” Response options will be “Yes” or “No”. A 3-item will be used to measure HIV impact items; thus, Has anyone in the household ever been diagnosed with HIV/AIDS, is there a person in the household who is bed-ridden with an AIDS related illness and past year occurrence of AIDS-related death of household member. Response options will be “Yes” or “No”. For AIDS stigma attitudes, 4-AIDS-stigma items will be used; “Would you be willing to care for a family member with AIDS”. Response options were, “Yes”, “No”, or “Do not know”. Demographic and social variables linked to HIV CT will be included in the survey. These will include sex, age, marital status, ethnic background, religious affiliation, and place of residence whist socioeconomic status included will be household income standing, formal education completed and employment status. 2.5 Data Analysis Data analysis will be performed using Predictive Analytic Software (PASW) for Windows software application program version 17.0. Data will be ordered, edited, coded, and entered into the software and analysed quantitatively using multiple regression. Stepwise method will be employed to determine the relative strengths of the independent variables on HIV CT. The multiple regression analysis will be preceded by a bivariate correlation matrix to examine the 10
  • 11. strength of associations between the dependent variable HIV CT utilization and relevant potential predictor variables. The probability (p) value less or equal to 0.05 will be used to indicate statistical significance in the regression model. Frequencies, means, and standard deviations will be computed to describe the sample. The qualitative data will be subjected to a content analysis. The analysis will be done using the grounded-theory approach. This method is based on techniques to systematically discover categories, themes or patterns that emerge from the data, through coding and categorisation of information into manageable units (Strauss and Corbin, 1998). In this respect, the categories for analysis will be drawn from the interview guides and then, themes and patterns emerge after reviewing the data within and across groups of respondents (Carey, 1994; Charmaz, 1990). Results will be presented through direct quotes. References Appiah, L. T., Havers, F., Gibson, J., Kay, M., Sarfo, F. and Chadwick, D. (2009). Efficacy and acceptability of rapid, point-of-care HIV testing in two clinical settings in Ghana. AIDS Patient Care & STDs, 23(5). Pp. 365 - 9 Baggaley, R. (2001). Voluntary counselling and testing (VCT). Paper for the UNAIDS expert panel on HIV testing in United Nations peacekeeping operations. 17-18th September 2001, New York. Barnett, T. and Whiteside, A. (2006). AIDS in the twenty-first century: disease and globalization. New York: Palgrave Macmillan. Bwambale, F. M., Ssali, S. N., Byaruhanga, S., Kalyango, J. N. and Karamagi, C. A. (2008) Voluntary HIV counselling and testing among men in rural western Uganda: implications for HIV prevention. BMC Public Health, 30(8):263. Byamugisha, R., Tumwine, J. K., Semiyaga, N., Tylleskar. T. (2010a). Determinants of male 11
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  • 17. Wringe, A., Isingo, R., Urassa, M., Maiseli, G., Manyalla, R., Changalucha, J., Mngara, J., Kalluvya, S. and Zaba, B. (2008). Uptake of HIV voluntary counselling and testing services in rural Tanzania: implications for effective HIV prevention and equitable access to treatment. Trop Med Int Health, 13(3):319-27. Wyss, S., Ablordeppey, J., Okrah, J. and Kyei, A. (2007). Reaching disenfranchised youth and mobile populations in Ghana through voluntary counselling and testing services for HIV. African Journal of AIDS Research, 6(2). Pp. 121 — 12. Yeager, R., Hendrix, C. W. and Kingma, S. (2000). International military human immunodeficiency virus/acquired immunodeficiency syndrome policies and programs: strengths and limitations in current practice. Mil Med, 165(2). Pp. 87-92. 17