How well do elderly people complete individualised quality of life measures: an exploratory study.

This research note describes and discusses a study which investigated the feasibility of using an individualised approach to measure the quality of life (QoL) of a sample of older people who were in receipt of an early hospital discharge service. Most participants (86%) were able to identify areas of their lives which were important to them, rate their level of functioning on each of these areas and rank their life areas in order of importance. However, 39% were unable to quantify the relative importance of each area of life. Indeed, the majority (57%) of participants who were over 75 years old could not complete this “weighting” or evaluative stage. The results suggest that the phenomenological approach to measuring QoL may be employed successfully with older people but that the “weighting” system used by existing individualised QoL measures needs to be refined, especially when assessing people over 75.

A Home from Hospital service for older people.

Current policy and practice emphasises much more than ever before a need for purchasers and providers to reduce appropriately the length of hospital stay. Consequently, a number of early discharge “schemes” have been developed. This paper presents the findings from an evaluation of a “home from hospital” (HFH) scheme. The HFH service provides a maximum of six weeks intensive domiciliary care for older people on their discharge from hospital. The aim of the service is to facilitate early discharge from hospital and to assist patients to regain independence. The study reported here elicited the views and perceptions of clients and professionals involved in the HFH scheme about the quality, efficiency and effectiveness of the service. Seventy-five clients were discharged from hospital to the HFH scheme during a two month period and those who consented to participate in the study were interviewed after discharge from the HFH service (n = 40). Participants had attended hospital for various conditions but the largest group were fracture patients. Hospital staff and community based professionals completed a questionnaire about the service. Overall, clients and professionals perceived the HFH scheme as a beneficial service, though some minor problems existed at an individual level. Clients’ dependency levels generally decreased during their time on the scheme. Research using a controlled design is necessary in order to draw firm conclusions about the cost-effectiveness of a HFH service. Overall, home-from-hospital appears to be an effective model of an early discharge scheme worthy of further attention.

Enhanced clinical pharmacy service targeting tools: risk-predictive algorithms

Rationale, aims and objectives: This study aimed to determine the value of using a mix of clinical pharmacy data and routine hospital admission spell data in the development of predictive algorithms. Exploration of risk factors in hospitalized patients, together with the targeting strategies devised, will enable the prioritization of clinical pharmacy services to optimize patient outcomes. 

Methods: Predictive algorithms were developed using a number of detailed steps using a 75% sample of integrated medicines management (IMM) patients, and validated using the remaining 25%. IMM patients receive targeted clinical pharmacy input throughout their hospital stay. The algorithms were applied to the validation sample, and predicted risk probability was generated for each patient from the coefficients. Risk threshold for the algorithms were determined by identifying the cut-off points of risk scores at which the algorithm would have the highest discriminative performance. Clinical pharmacy staffing levels were obtained from the pharmacy department staffing database. 

Results: Numbers of previous emergency admissions and admission medicines together with age-adjusted co-morbidity and diuretic receipt formed a 12-month post-discharge and/or readmission risk algorithm. Age-adjusted co-morbidity proved to be the best index to predict mortality. Increased numbers of clinical pharmacy staff at ward level was correlated with a reduction in risk-adjusted mortality index (RAMI). 

Conclusions: Algorithms created were valid in predicting risk of in-hospital and post-discharge mortality and risk of hospital readmission 3, 6 and 12 months post-discharge. The provision of ward-based clinical pharmacy services is a key component to reducing RAMI and enabling the full benefits of pharmacy input to patient care to be realized.