Medication Discrepancies upon Hospital to Skilled Nursing Facility Transitions

BACKGROUND  Failure to reconcile medications across transitions in care is an important source of harm to patients. Little is known about medication discrepancies upon admission to skilled nursing facilities (SNFs). OBJECTIVE  To describe the prevalence of, type of medications involved in, and sources of medication discrepancies upon admission to the SNF setting. DESIGN  Cross-sectional study. PARTICIPANTS  Patients admitted to SNF for subacute care. MEASUREMENTS  Number of medication discrepancies, defined as unexplained differences among documented medication regimens, including the hospital discharge summary, patient care referral form and SNF admission orders. RESULTS  Of 2,319 medications reviewed on admission, 495 (21.3%) had a medication discrepancy. At least one medication discrepancy was identified in 142 of 199 (71.4%) SNF admissions. The discharge summary and the patient care referral form did not match in 104 of 199 (52.3%) SNF admissions. Disagreement between the discharge summary and the patient care referral form accounted for 62.0% (n = 307) of all medication discrepancies. Cardiovascular agents, opioid analgesics, neuropsychiatric agents, hypoglycemics, antibiotics, and anticoagulants accounted for over 50% of all discrepant medications. CONCLUSIONS  Medication discrepancies occurred in almost three out of four SNF admissions and accounted for one in five medications prescribed on admission. The discharge summary and the patient care referral forms from the discharging institution are often in disagreement. Our study findings underscore the importance of current efforts to improve the quality of inter-institutional communication.     

Pharmacists on rounding teams reduce preventable adverse drug events in hospital general medicine units

BACKGROUND: Previous studies found that medication errors result from lack of sufficient information during the prescribing step. Therefore, it is proposed that having a pharmacist available when patients are evaluated during the rounding process may reduce the likelihood of preventable adverse drug events (ADEs). The objectives of this study were to evaluate the impact of having a pharmacist participate with a physician rounding team on preventable ADEs in general medicine units and to document pharmacist interventions made during the rounding process. METHODS: A single-blind, standard care-controlled study design was used to compare patients receiving care from a rounding team including a pharmacist with patients receiving standard care (no pharmacist on rounding team). Patients admitted to and discharged from the same general medicine unit were included in the study. The main outcome measure of this study was preventable ADEs. Patient records were randomly selected and evaluated by a blinded process involving independent senior pharmacist specialists and a senior staff physician. Interventions made by the pharmacists in the treatment group were documented. RESULTS: The rate of preventable ADEs was reduced by 78%, from 26.5 per 1000 hospital days to 5.7 per 1000 hospital days. There were 150 documented interventions recommended during the rounding process, 147 of which were accepted by the team. The most common interventions were (1) dosing-related changes and (2) recommendations to add a drug to therapy. CONCLUSION: Pharmacist participation with the medical rounding team on a general medicine unit contributes to a significant reduction in preventable ADEs.     

Randomized controlled trial of emergency department interventions to improve primary care follow-up for patients with acute asthma

OBJECTIVE: Emergency department (ED) visits for asthma are frequent and may indicate increased morbidity and poor primary care access. Our objective was to compare the effect of two interventions on primary care follow-up after ED treatment for asthma exacerbations. METHODS: We performed a randomized controlled trial of patients 2 to 54 years old who were judged safe for discharge receiving prednisone, and who were available for contact at 2 days and 30 days. Patients were excluded if they were previously enrolled or did not speak English. Patients received usual discharge care (group A); free prednisone, vouchers for transport to and from a primary care visit, and either a telephone reminder to schedule a visit (group B); or a prior scheduled appointment (group C). Follow-up with a primary care provider for asthma within 30 days was the main outcome. Secondary outcomes were recurrent ED visits, subsequent hospitalizations, quality of life, and use of inhaled corticosteroids 1 year later. RESULTS: Three hundred eighty-four patients were enrolled. Baseline demographics, chronic asthma severity, and access to care were similar across groups. Primary care follow-up was higher in group C (65%) vs group A (42%) or group B (48%) [p = 0.002]. Group C intervention remained significant (odds ratio, 2.8; 95% confidence interval, 1.5 to 5.1) when adjusted for other factors influencing follow-up (prior primary care relationship, insurance status). There were no differences in ED, hospitalizations, quality of life, or inhaled corticosteroid use at 1 year after the index ED visit. CONCLUSION: An intervention including free medication, transportation vouchers, and appointment assistance significantly increased the likelihood that discharged asthma patients obtained primary care follow-up but did not impact long-term outcomes.     

Redefining and Redesigning Hospital Discharge to Enhance Patient Care: A Randomized Controlled Study

BACKGROUND  Patients are routinely ill-prepared for the transition from hospital to home. Inadequate communication between Hospitalists and primary care providers can further compromise post-discharge care. Redesigning the discharge process may improve the continuity and the quality of patient care. OBJECTIVES  To evaluate a low-cost intervention designed to promptly reconnect patients to their “medical home” after hospital discharge. DESIGN  Randomized controlled study. Intervention patients received a “user-friendly” Patient Discharge Form, and upon arrival at home, a telephone outreach from a nurse at their primary care site. PARTICIPANTS  A culturally and linguistically diverse group of patients admitted to a small community teaching hospital. MEASUREMENTS  Four undesirable outcomes were measured after hospital discharge: (1) no outpatient follow-up within 21 days; (2) readmission within 31 days; (3) emergency department visit within 31 days; and (4) failure by the primary care provider to complete an outpatient workup recommended by the hospital doctors. Outcomes of the intervention group were compared to concurrent and historical controls. RESULTS  Only 25.5% of intervention patients had 1 or more undesirable outcomes compared to 55.1% of the concurrent and 55.0% of the historical controls. Notably, only 14.9% of the intervention patients failed to follow-up within 21 days compared to 40.8% of the concurrent and 35.0% of the historical controls. Only 11.5% of recommended outpatient workups in the intervention group were incomplete versus 31.3% in the concurrent and 31.0% in the historical controls. CONCLUSIONS  A low-cost discharge–transfer intervention may improve the rates of outpatient follow-up and of completed workups after hospital discharge.     

A randomized, controlled trial of a simple emergency department intervention to improve the rate of primary care follow-up for patients with acute asthma exacerbations

STUDY OBJECTIVE: We determined whether a simple emergency department intervention improves the likelihood of primary care provider (PCP) follow-up after ED discharge for an acute asthma exacerbation. METHODS: This randomized, controlled clinical trial was conducted in an urban university-based ED. Participants were patients with asthma between the ages of 16 and 45 years who were treated and discharged from the ED. The study intervention was usual care or an intervention that consisted of a free 5-day course of prednisone, vouchers for transportation to and from their PCP, and a 48-hour telephone reminder to make an appointment with their PCP. The main outcome was whether the patient received follow-up care as determined by PCP contact at 4 weeks. RESULTS: One hundred ninety-two patients with asthma were enrolled over 8 months; 178 (93%) had complete follow-up. The intervention and control groups were similar with regard to age, sex, ethnicity, or years of education. The 2 groups were also comparable with respect to multiple measures of baseline access/barriers to care and severity of ED exacerbation. Patients receiving the intervention were significantly more likely to follow up with their PCP than control patients (relative risk 1.6; 95% confidence interval [CI] 1.1, 2.4). When adjusted for other factors influencing PCP follow-up care (ethnicity, prior PCP relationship, insurance status, regular car access), intervention patients were more likely to follow up with their PCP (odds ratio 3.1; 95% CI 1.5, 6.3). CONCLUSION: Providing medication, transportation vouchers, and a telephone reminder to make an appointment increased the likelihood that discharged patients with asthma obtained PCP follow-up.     

Patient risk factors for adverse drug events in hospitalized patients. ADE Prevention Study Group

BACKGROUND: Adverse drug events (ADEs) are common in hospitalized patients, but few empirical data are available regarding the strength of patient risk factors for ADEs. METHODS: We performed a nested case-control study within a cohort that included 4108 admissions to a stratified random sample of 11 medical and surgical units in 2 tertiary care hospitals during a 6-month period. Analyses were conducted on 2 levels: (1) using a limited set of variables available for all patients using computerized data available from 1 hospital and (2) using a larger set of variables for the case patients and matched controls from both hospitals. Case patients were patients with an ADE, and the matched control for each case patient was the patient on the same unit as the case patient with the most similar prevent length of stay. Main outcome measures were presence of an ADE, preventable ADE, or severe ADE. RESULTS: In the cohort analysis, electrolyte concentrates (odds ratio [OR], 1.7), diuretics (OR, 1.7), and medical admission (OR, 1.6) were independent correlates of ADEs. Independent correlates of preventable ADEs in the cohort analysis were low platelet count (OR, 4.5), antidepressants (OR, 3.3), antihypertensive agents (OR, 2.9), medical admission (OR, 2.2), and electrolyte concentrates (OR, 2.1). In the case-control analysis, exposure to psychoactive drugs (OR, 2.1) was an independent correlate of an ADE, and use of cardiovascular drugs (OR, 2.4) was independently correlated with severe ADEs. For preventable ADEs, no independent predictors were retained after multivariate analysis. CONCLUSIONS: Adverse drug events occurred more frequently in sicker patients who stayed in the hospital longer. However, after controlling for level of care and preevent length of stay, few risk factors emerged. These results suggest that, rather than targeting ADE-prone individuals, prevention strategies should focus on improving medication systems.     

Relationship between medication errors and adverse drug events

OBJECTIVE: To evaluate the frequency of medication errors using a multidisciplinary approach, to classify these errors by type, and to determine how often medication errors are associated with adverse drug events (ADEs) and potential ADEs. DESIGN: Medication errors were detected using self-report by pharmacists, nurse review of all patient charts, and review of all medication sheets. Incidents that were thought to represent ADEs or potential ADEs were identified through spontaneous reporting from nursing or pharmacy personnel, solicited reporting from nurses, and daily chart review by the study nurse. Incidents were subsequently classified by two independent reviewers as ADEs or potential ADEs. SETTING: Three medical units at an urban tertiary care hospital. PATIENTS: A cohort of 379 consecutive admissions during a 51-day period (1,704 patient-days). INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: Over the study period, 10,070 medication orders were written, and 530 medications errors were identified (5.3 errors/100 orders), for a mean of 0.3 medication errors per patient-day, or 1.4 per admission. Of the medication errors, 53% involved at least one missing dose of a medication; 15% involved other dose errors, 8% frequency errors, and 5% route errors. During the same period, 25 ADEs and 35 potential ADEs were found. Of the 25 ADEs, five (20%) were associated with medication errors; all were judged preventable. Thus, five of 530 medication errors (0.9%) resulted in ADEs. Physician computer order entry could have prevented 84% of non-missing dose medication errors, 86% of potential ADEs, and 60% of preventable ADEs. CONCLUSIONS: Medication errors are common, although relatively few result in ADEs. However, those that do are preventable, many through physician computer order entry. Received/mm the Division of General Medicine, Departments of Medicine and Pharmacy, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts. Supported in part by the Risk Management Foundation. Dr. Bates is the recipient of National Resource Service Award 1 F32 HS00040-01 from the Agency for Health Care Policy and Research.     

Benefits of telephone care over primary care for smoking cessation: a randomized trial

BACKGROUND: Brief clinician intervention and telephone counseling are both effective aids for smoking cessation. However, the potential benefit of telephone care above and beyond routine clinician intervention has not been examined previously. The objective of this study is to determine if telephone care increases smoking cessation compared with brief clinician intervention as part of routine health care. METHODS: This 2-group, prospective, randomized controlled trial enrolled 837 daily smokers from 5 Veterans Affairs medical centers in the upper Midwest. The telephone care group (n = 417) received behavioral counseling with mailing of smoking cessation medications as clinically indicated. The standard care group (n = 420) received intervention as part of routine health care. The primary outcome was self-reported 6-month duration of abstinence 12 months after enrollment. Secondary outcomes were 7-day point prevalence abstinence at 3 and 12 months, participation in counseling programs, and use of smoking cessation medications. RESULTS: Using intention-to-treat procedures, we found that the rate of 6-month abstinence at the 12-month follow-up was 13.0% in the telephone care group and 4.1% in the standard care group (odds ratio [OR], 3.50; 95% confidence interval [CI], 1.99-6.15). The rate of 7-day point prevalence abstinence at 3 months was 39.6% in the telephone care group and 10.1% in the standard care group (OR, 5.84; 95% CI, 4.02-8.50). Telephone care compared with standard care increased the rates of participation in counseling programs (97.1% vs 24.0%; OR, 96.22; 95% CI, 52.57-176.11) and use of smoking cessation medications (89.6% vs 52.3%; OR, 7.85; 95% CI, 5.34-11.53). CONCLUSION: Telephone care increases the use of behavioral and pharmacologic assistance and leads to higher smoking cessation rates compared with routine health care provider intervention.     

A randomized trial of a proactive cellular telephone intervention for smokers living with HIV/AIDS

OBJECTIVE: To assess the efficacy of an innovative smoking cessation intervention targeted to a multiethnic, economically disadvantaged HIV-positive population. DESIGN: A two-group randomized clinical trial compared a smoking cessation intervention delivered by cellular telephone with usual care approach. METHODS: Current smokers from a large, inner city HIV/AIDS care center were recruited and randomized to receive either usual care or a cellular telephone intervention. The usual care group received brief physician advice to quit smoking, targeted self-help written materials and nicotine replacement therapy. The cellular telephone intervention received eight counseling sessions delivered via cellular telephone in addition to the usual care components. Smoking-related outcomes were assessed at a 3-month follow-up. RESULTS: The trial had 95 participants and 77 (81.0%) completed the 3-month follow-up assessment. Analyses indicated biochemically verified point prevalence smoking abstinence rates of 10.3% for the usual care group and 36.8% for the cellular telephone group; participants who received the cellular telephone intervention were 3.6 times (95% confidence interval, 1.3-9.9) more likely to quit smoking compared with participants who received usual care (P = 0.0059). CONCLUSIONS: These results suggest that individuals living with HIV/AIDS are receptive to, and can be helped by, smoking cessation treatment. In addition, smoking cessation treatment tailored to the special needs of individuals living with HIV/AIDS, such as counseling delivered by cellular telephone, can significantly increase smoking abstinence rates over that achieved by usual care.     

Adverse events due to discontinuations in drug use and dose changes in patients transferred between acute and long-term care facilities

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.     

Improving outcomes after myocardial infarction: a randomized controlled trial evaluating effects of a telephone follow-up intervention.

BACKGROUND: Providing information is an important part of standard care and treatment for acute myocardial infarction inpatients. Evidence exists indicating that acute myocardial infarction patients experience an information gap in the period immediately after discharge from the hospital. The aim of this study was to assess the short-term effects of a nurse-led telephone follow-up intervention to provide information and support to patients with acute myocardial infarction after their discharge from hospital. DESIGN AND METHOD: A prospective randomized, controlled trial with a 6-month follow-up was conducted. A total of 288 patients were allocated to either an intervention group (n=156) or a control group (n=132). The latter received routine post-discharge care. The primary endpoint measured at 3 and 6 months after discharge was the health-related quality of life using the 36-item Short Form Health Survey. Secondary endpoints included smoking and exercise habits. RESULTS: In both groups, health-related quality of life improved significantly over time on most subscales. A statistically significant difference in favour of the intervention group was found on the 36-item Short Form Health Survey Physical Health Component Summary Scale (P=0.034) after 6 months. No difference was found between the groups on the Mental Health Component Summary Scale. We found a significant difference with respect to frequency of physical activity in favour of the intervention group after 6 months (P=0.004). More participants in the intervention group than the control group had ceased smoking at the 6-month follow-up (P=0.055). CONCLUSION: A nurse-led systematic telephone follow-up intervention significantly improved the physical dimension of health-related quality of life in patients in the intervention group compared with usual care patients. Participation in this intervention also seemed to promote health behaviour change in patients after acute myocardial infarction.     

Activating peripheral arterial disease patients to reduce cholesterol: a randomized trial

Background

Peripheral arterial disease patients are less likely than other high-risk patients to achieve ideal low-density lipoprotein (LDL) cholesterol levels. This randomized controlled trial assessed whether a telephone counseling intervention, designed to help peripheral arterial disease patients request more intensive cholesterol-lowering therapy from their physician, achieved lower LDL cholesterol levels than 2 control conditions.

Methods

There were 355 peripheral arterial disease participants with baseline LDL cholesterol ≥70 mg/dL enrolled. The primary outcome was change in LDL cholesterol level at 12-month follow-up. There were 3 parallel arms: telephone counseling intervention, attention control condition, and usual care. The intervention consisted of patient-centered counseling, delivered every 6 weeks, encouraging participants to request increases in cholesterol-lowering therapy from their physician. The attention control condition consisted of telephone calls every 6 weeks providing information only. The usual care condition participated in baseline and follow-up testing.

Results

At 12-month follow-up, participants in the intervention improved their LDL cholesterol level, compared with those in attention control (−18.4 mg/dL vs −6.8 mg/dL, P = .010) but not compared with those in usual care (−18.4 mg/dL vs −11.1 mg/dL, P = .208). Intervention participants were more likely to start a cholesterol-lowering medication or increase their cholesterol-lowering medication dose than those in the attention control (54% vs 18%, P = .001) and usual care (54% vs 31%, P <.001) conditions.

Conclusion

Telephone counseling that helped peripheral arterial disease patients request more intensive cholesterol-lowering therapy from their physician achieved greater LDL cholesterol decreases than an attention control arm that provided health information alone. © 2011 Elsevier Inc. All rights reserved.     

Improving Patient's Primary Medication Adherence: The Value of Pharmaceutical Counseling

Quality of transitions of care is one of the first concerns in patient safety. Redesigning the discharge process to incorporate clinical pharmacy activities could reduce the incidence of postdischarge adverse events by improving medication adherence. The present study investigated the value of pharmacist counseling sessions on primary medication adherence after hospital discharge.This study was conducted in a 1844-bed hospital in France. It was divided in an observational period and an interventional period of 3 months each. In both periods, ward-based clinical pharmacists performed medication reconciliation and inpatient follow-up. In interventional period, initial counseling and discharge counseling sessions were added to pharmaceutical care. The primary medication adherence was assessed by calling community pharmacists 7 days after patient discharge.We compared the measure of adherence between the patients from the observational period (n = 201) and the interventional period (n = 193). The rate of patients who were adherent increased from 51.0% to 66.7% between both periods (P < 0.01). When discharge counseling was performed (n = 78), this rate rose to 79.7% (P < 0.001). The multivariate regression performed on data from both periods showed that age of at least 78 years old, and 3 or less new medications on discharge order were predictive factors of adherence. New medications ordered at discharge represented 42.0% (n = 1018/2426) of all medications on discharge order. The rate of unfilled new medications decreased from 50.2% in the observational period to 32.5% in the interventional period (P < 10⁻⁷). However, patients included in the observational period were not significantly more often readmitted or visited the emergency department than the patients who experienced discharge counseling during the interventional period (45.3% vs. 46.2%; P = 0.89).This study highlights that discharge counseling sessions are essential to improve outpatients’ primary medication adherence. We identified predictive factors of primary nonadherence in order to target the most eligible patients for discharge counseling sessions. Moreover, implementation of discharge counseling could be facilitated by using Health Information Technology to adapt human resources and select patients at risk of nonadherence.     

A pharmacy discharge plan for hospitalized elderly patients--a randomized controlled trial

OBJECTIVES: to investigate the effectiveness of a pharmacy discharge plan in elderly hospitalized patients. DESIGN: randomized controlled trial. SUBJECTS AND SETTINGS: we randomized patients aged 75 years and older on four or more medicines who had been discharged from three acute general and one long-stay hospital to a pharmacy intervention or usual care. INTERVENTIONS: the hospital pharmacist developed discharge plans which gave details of medication and support required by the patient. A copy was given to the patient and to all relevant professionals and carers. This was followed by a domiciliary assessment by a community pharmacist. In the control group, patients were discharged from hospital following standard procedures that included a discharge letter to the general practitioner listing current medications. OUTCOMES: the primary outcome was re-admission to hospital within 6 months. Secondary outcomes included the number of deaths, attendance at hospital outpatient clinics and general practice and proportion of days in hospital over the follow-up period, together with patients' general well-being, satisfaction with the service and knowledge of and adherence to prescribed medication. RESULTS: we recruited 362 patients, of whom 181 were randomized to each group. We collected hospital and general practice data on at least 91 and 72% of patients respectively at each follow-up point and interviewed between 43 and 90% of the study subjects. There were no significant differences between the groups in the proportion of patients re-admitted to hospital between baseline and 3 months or 3 and 6 months. There were no significant differences in any of the secondary outcomes. CONCLUSIONS: we found no evidence to suggest that the co-ordinated hospital and community pharmacy care discharge plans in elderly patients in this study influence outcomes.     

Pharmacist medication assessments in a surgical preadmission clinic

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.