Family centred care: a review of qualitative studies

Aim. To review systematically qualitative studies, which were found during a literature search for a Cochrane systematic review of the use of family centred care in children's hospitals. Background. Family centred care has become a cornerstone of paediatric practice, however, its effectiveness is not known. No single definition exists, rather a list of elements that constitute family centred care. However, it is recognized to involve the parents in care planning for a child in health services. A new definition is presented here. Methods. The papers were found in wide range of databases, by hand searching and by contacting the authors where necessary, using terms given in detail in the protocol in the Cochrane Library, in 2004. Qualitative studies could not be used for statistical analysis, but are still important to the review and so are described separately in this paper. Results. Negotiation between staff and families, perceptions held by both parents and staff roles influenced the delivery of family centred care. A sub-theme of cost of family centred care to families and staffs was discovered and this included both financial and emotional costs. Conclusion. Further research is needed to generate evidence about family centred care in situations arising from modern models of care in which family centred care is thought to be an inherent part, but which leave families with the care of sick children with little or no support. Relevance to clinical practice. Family centred care is said to be used widely in practice. More research is needed to ensure that is it being implemented correctly.

Finite mixture regression model with random effects: application to neonatal hospital length of stay

A two-component mixture regression model that allows simultaneously for heterogeneity and dependency among observations is proposed. By specifying random effects explicitly in the linear predictor of the mixture probability and the mixture components, parameter estimation is achieved by maximising the corresponding best linear unbiased prediction type log-likelihood. Approximate residual maximum likelihood estimates are obtained via an EM algorithm in the manner of generalised linear mixed model (GLMM). The method can be extended to a g-component mixture regression model with the component density from the exponential family, leading to the development of the class of finite mixture GLMM. For illustration, the method is applied to analyse neonatal length of stay (LOS). It is shown that identification of pertinent factors that influence hospital LOS can provide important information for health care planning and resource allocation. (C) 2002 Elsevier Science B.V. All rights reserved.

Improving supportive care for women with breast cancer in Australia: The challenge of modifying health systems

Although the benefits of many psychosocial support strategies in improving well being in women with breast cancer have been demonstrated, few women receive these programs as part of routine care. This paper provides some recommendations, based on experience in Australia, about how access to evidence-based supportive care strategies might be improved through modification of health systems. It demonstrates the paucity of research about the costs and health service implications of psychosocial support strategies, which is vital to health planning and service delivery change. It outlines the systematic approach taken in Australia to improving psychosocial support nationally by: the development of research reviews; preparation of guidelines about supportive care, implementation of programs to foster the adoption of guidelines through modification of policy, health service delivery and clinician training; and monitoring programs. Coalitions of government, health care professionals and consumers are key to effective lobbying for change. If all women with breast cancer are to receive better supportive care, there is a need for approaches which: refocus the research effort in psycho-oncology; develop more strategic approaches to generating change in health systems and health policy and foster partnerships to advocate for improved resources. Copyright (C) 2003 John Wiley Sons, Ltd.

Controlled trial of multidisciplinary care teams for acutely ill medical inpatients: enhanced multidisciplinary care

Background: Acute hospital general medicine services care for ageing complex patients, using the skills of a range of health-care providers. Evidence suggests that comprehensive early assessment and discharge planning may improve efficiency and outcomes of care in older medical patients. Aim: To enhance assessment, communication, care and discharge planning by restructuring consistent, patient-centred multidisciplinary teams in a general medicine service. Methods: Prospective controlled trial enrolling 1538 consecutive medical inpatients. Intervention units with additional allied health staff formed consistent multidisciplinary teams aligned with inpatient admitting units rather than wards; implemented improved communication processes for early information collection and sharing between disciplines; and specified shared explicit discharge goals. Control units continued traditional, referral-based multidisciplinary models with existing staffing levels. Results: Access to allied health services was significantly enhanced. There was a trend to reduced index length of stay in the intervention units (7.3 days vs 7.8 days in control units, P = 0.18), with no change in 6-month readmissions. in-hospital mortality was reduced from 6.4 to 3.9% (P = 0.03); less patients experienced functional decline in hospital (P = 0.04) and patients' ratings of health status improved (P = 0.02). Additional staffing costs were balanced by potential bed-day savings. Conclusion: This model of enhanced multidisciplinary inpatient care has provided sustainable efficiency gains for the hospital and improved patient outcomes.