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Evaluating Transitions of Care Processes
1. Evaluating Improvement in Transitions of Care Processes H. Edward Davidson, PharmD, MPH, FASCP Assistant Professor Eastern Virginia Medical School Partner, Insight Therapeutics & Cheri Lattimer, RN, BSN Executive Director Case Management Society of America American College of Healthcare Executives
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3. DEFINING TRANSITIONS OF CARE AND ITS IMPACT American College of Healthcare Executives
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9. Breaking the Barriers Requires Communication American College of Healthcare Executives
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13. A National Effort to Address Transitions of Care Concerns American College of Healthcare Executives NTOCC is Co-Chaired by CMSA in Partnership with sanofi aventis
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16. So How Do We Implement and Evaluate Transitions of Care Tools and Report on Improvement? American College of Healthcare Executives
17. Evaluating Improvement in Transitions of Care Processes H. Edward Davidson, PharmD, MPH, FASCP Assistant Professor Eastern Virginia Medical School Partner, Insight Therapeutics American College of Healthcare Executives
37. Sample Trend Chart American College of Healthcare Executives minimum allowed original intervention modified intervention Original intervention Modified intervention Modified intervention
Transition of care is the movement of patients from one health care practitioner or setting to another as their condition and care needs change and it necessarily occurs at multiple levels. It occurs 1) within settings, such as primary care and specialty care in the context of care in the community, 2) between settings, such as someone who moves from the hospital to the rehabilitation facility, and it occurs 3) across health states, such as from receiving care in the home to needing care in assisted living.
There are a number a factors we can identify that highlight care transition inadequacies. Some of these we see daily in our practices, some of them we may only hear about by chance (e.g., patient satisfaction survey, newly published primary literature about these problems), and some we see in the press (e.g., nursing facility sued due to poor transition from hospital that possibly resulted in death).
*Discrepancy defined as error between admission medication orders and patient interview of medication history. BACKGROUND: Prior studies suggest that unintended medication discrepancies that represent errors are common at the time of hospital admission. These errors are particularly worthy of attention because they are not likely to be detected by computerized physician order entry systems. METHODS: We prospectively studied patients reporting the use of at least 4 regular prescription medications who were admitted to general internal medicine clinical teaching units. The primary outcome was unintended discrepancies (errors) between the physicians' admission medication orders and a comprehensive medication history obtained through interview. We also evaluated the potential seriousness of these discrepancies. All discrepancies were reviewed with the medical team to determine if they were intentional or unintentional. All unintended discrepancies were rated for their potential to cause patient harm. RESULTS: After screening 523 admissions, 151 patients were enrolled based on the inclusion criteria. Eighty-one patients (53.6%; 95% confidence interval, 45.7%-61.6%) had at least 1 unintended discrepancy. The most common error (46.4%) was omission of a regularly used medication. Most (61.4%) of the discrepancies were judged to have no potential to cause serious harm. However, 38.6% of the discrepancies had the potential to cause moderate to severe discomfort or clinical deterioration. CONCLUSIONS: Medication errors at the time of hospital admission are common, and some have the potential to cause harm. Better methods of ensuring an accurate medication history at the time of hospital admission are needed.
*Most common discrepancy is omission of pre-admit medication. BACKGROUND: In the hospital setting, postoperative admission is a key vulnerable moment when patients are at increased risk of medication discrepancies. This study measures the reduction of medication discrepancies associated with a combined intervention of structured pharmacist medication history interviews with assessments in a surgical preadmission clinic and a postoperative medication order form. METHODS: In the Surgical Pharmacist in Preadmission Clinic Evaluation (SPPACE) study, patients who had a preadmission clinic appointment before undergoing surgical procedures were eligible for inclusion. Patients were excluded if they were scheduled for discharge the same day as their surgery. Eligible patients were randomly assigned to the intervention arm (structured pharmacist medication history interview with assessment and generation of a postoperative medication order form) or to the standard care arm (nurse-conducted medication histories and surgeon-generated medication orders). The primary end point was the number of patients with at least 1 postoperative medication discrepancy related to home medications. RESULTS: Between April 19, 2005, and June 3, 2005, a total of 464 patients were enrolled in the study, of which 227 and 237 patients were randomized to the intervention and standard care arms, respectively. In the intervention arm, 41 (20.3%) of 202 patients had at least 1 postoperative medication discrepancy related to home medications, compared with 86 (40.2%) of 214 patients in the standard care arm (P<.001). In the intervention arm, 26 (12.9%) of 202 patients had at least 1 postoperative medication discrepancy with the potential to cause possible or probable harm, compared with 64 (29.9%) of 214 patients in the standard care arm (P<.001). These were mostly omissions of reordering home medications. CONCLUSION: A combined intervention of pharmacist medication assessments and a postoperative medication order form can reduce postoperative medication discrepancies related to home medications.
*Work up error occurred if an outpatient test or procedure suggested or scheduled by the inpatient provider was not adequately followed up by the outpatient provider (e.g., colonoscopy for positive fecal occult blood test scheduled at discharge but not documented in outpatient chart). OBJECTIVE: To determine the prevalence of medical errors related to the discontinuity of care from an inpatient to an outpatient setting, and to determine if there is an association between these medical errors and adverse outcomes. PATIENTS: Eighty-six patients who had been hospitalized on the medicine service at a large academic medical center and who were subsequently seen by their primary care physicians at the affiliated outpatient practice within 2 months after discharge. DESIGN: Each patient's inpatient and outpatient medical record was reviewed for the presence of 3 types of errors related to the discontinuity of care from the inpatient to the outpatient setting: medication continuity errors, test follow-up errors, and work-up errors. MEASUREMENTS: Rehospitalizations within 3 months after the initial postdischarge outpatient primary care visit. MAIN RESULTS: Forty-nine percent of patients experienced at least 1 medical error. Patients with a work-up error were 6.2 times (95%confidence interval [95% CI], 1.3 to 30.3) more likely to be rehospitalized within 3 months after the first outpatient visit. We did not find a statistically significant association between medication continuity errors (odds ratio [OR], 2.5; 95%CI, 0.7 to 8.8) and test follow-up errors (OR, 2.4; 95%CI, 0.3 to 17.1) with rehospitalizations. CONCLUSION: We conclude that the prevalence of medical errors related to the discontinuity of care from the inpatient to the outpatient setting is high and may be associated with an increased risk of rehospitalization. Reference: Moore C, Wisnivesky J, Williams S, McGinn T. Medical errors related to disontinuity of care from an inpatient to an outpatient setting. J Gen Intern Med 2003;18:646-51.
Examples: Discontinue metoprolol – blood pressure rises to 208/108 mmHg; Discontinue insulin – blood glucose rises to >500 mg/dL. BACKGROUND: Care transitions are commonplace for ill older adults, but no studies to our knowledge have examined the occurrence of iatrogenic harm from medication changes during patient transfer. OBJECTIVES: To identify medication changes during transfer between hospital and nursing home and adverse drug events (ADEs) caused by these changes. METHODS: Participants were residents of 4 nursing homes in the New York City metropolitan area admitted to 2 academic hospitals. Nursing home and hospital medical records were reviewed to identify changes in medication regimens between sites. Medications were matched and compared regarding dosage, route, and frequency of administration. Two physician investigators used structured implicit review to identify ADEs attributable to transfer-related medication changes. RESULTS: During a total of 122 admissions, the mean numbers of medications altered during transfer from nursing home to hospital and hospital to nursing home were 3.1 and 1.4, respectively (P<.001 for comparison). Most changes in drug use were discontinuations, followed by dose changes and class substitutions. Of 71 bidirectional transfers that were reviewed by 2 physician investigators, ADEs attributable to medication changes occurred during 14 (20%). The overall risk of ADE per drug alteration (n = 320) was 4.4% (95% confidence interval, 2.5%-7.4%). Although most medication changes (8/14) implicated in causing ADEs occurred in the hospital, most ADEs (12/14) occurred in the nursing home after nursing home readmission. CONCLUSIONS: Medication changes are common during transfer between hospital and nursing home and are a cause of ADEs. Research is needed on interinstitutional patient care and systems interventions designed to prevent ADEs. Reference: Boockvar K, Fishman E, Kyriacou CK et al. Adverse events due to discontinuations in drug use and dose changes in patients transferred between acute and long-term care facilities. Arch Intern Med 2004;164:545-50.