Objective To determine whether home based medication review by pharmacists affects hospital readmission rates among older people. Design Randomised controlled trial. Setting Home based medication review after discharge from acute or community hospitals in Norfolk and Suffolk. Participants 872 patients aged over 80 recruited during an emergency admission (any cause) if returning to own home or warden controlled accommodation and taking two or more drugs daily on discharge. Intervention Two home visits by a pharmacist within two weeks and eight weeks of discharge to educate patients and carers about their drugs, remove out of date drugs, inform general practitioners of drug reactions or interactions, and inform the local pharmacist if a compliance aid is needed. Control arm received usual care. Main outcome measure Total emergency readmissions to hospital at six months. Secondary outcomes included death and quality of life measured with the EQ-5D. Results By six months 178 readmissions had occurred in the control group and 234 in the intervention group (rate ratio = 1.30, 95% confidence interval 1.07 to 1.58; P = 0.009, Poisson model). 49 deaths occurred in the intervention group compared with 63 in the control group (hazard ratio = 0.75, 0.52 to 1.10; P = 0.14). EQ-5D scores decreased (worsened) by a mean of 0.14 in the control group and 0.13 in the intervention group (difference = 0.01, − 0.05 to 0.06; P = 0.84, t test). Conclusions The intervention was associated with a significantly higher rate of hospital admissions and did not significantly improve quality of life or reduce deaths. Further research is needed to explain this counterintuitive finding and to identify more effective methods of medication review.
IntroductionGoal-setting is recommended for patients with multimorbidity, but there is little evidence to support its use in general practice.ObjectiveTo assess the feasibility of goal-setting for patients with multimorbidity, before undertaking a definitive trial.Design and settingCluster-randomised controlled feasibility trial of goal-setting compared with control in six general practices.ParticipantsAdults with two or more long term health conditions and at risk of unplanned hospital admission.InterventionsGeneral practitioners (GPs) underwent training and patients were asked to consider goals before an initial goal-setting consultation and a follow-up consultation 6 months later. The control group received usual care planning.Outcome measuresHealth-related quality of life (EQ-5D-5L), capability (ICEpop CAPability measure for Older people), Patient Assessment of Chronic Illness Care and healthcare use. All consultations were video-recorded or audio-recorded, and focus groups were held with participating GPs and patients.ResultsFifty-two participants were recruited with a response rate of 12%. Full follow-up data were available for 41. In the goal-setting group, mean age was 80.4 years, 54% were female and the median number of prescribed medications was 13, compared with 77.2 years, 39% female and 11.5 medications in the control group. The mean initial consultation time was 23.0 min in the goal-setting group and 19.2 in the control group. Overall 28% of patient participants had no cognitive impairment. Participants set between one and three goals on a wide range of subjects, such as chronic disease management, walking, maintaining social and leisure interests, and weight management. Patient participants found goal-setting acceptable and would have liked more frequent follow-up. GPs unanimously liked goal-setting and felt it delivered more patient-centred care, and they highlighted the importance of training.ConclusionsThis goal-setting intervention was feasible to deliver in general practice. A larger, definitive study is needed to test its effectiveness.Trial registration numberISRCTN13248305; Post-results.
Sickness absence is an important productivity concern of employers. Employers may implement early interventions to focus on preventable causes. Special interventions may target absence-causing risks such as smoking behavior and excess body weight. Study limitation includes a lack of measures for psychosocial work environment.
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