Needs-oriented discharge planning and monitoring for high utilisers of psychiatric services (NODPAM): Design and methods

<p>Abstract</p> <p>Background</p> <p>Attempts to reduce high utilisation of psychiatric inpatient care by targeting the critical time of hospital discharge have been rare.</p> <p>Methods</p> <p>This paper presents design and methods of the study "Effectiveness and Cost-Effectiveness of Needs-Oriented Discharge Planning and Monitoring for High Utilisers of Psychiatric Services" (NODPAM), a multicentre RCT conducted in five psychiatric hospitals in Germany. Inclusion criteria are receipt of inpatient psychiatric care, adult age, diagnosis of schizophrenia or affective disorder, defined high utilisation of psychiatric care during two years prior to the current admission, and given informed consent. Consecutive recruitment started in April 2006. Since then, during a period of 18 months, comprehensive outcome data of 490 participants is being collected at baseline and during three follow-up measurement points.</p> <p>The manualised intervention applies principles of needs-led care and focuses on the inpatient-outpatient transition. A trained intervention worker provides two intervention sessions: (a) Discharge planning: Just before discharge with the patient and responsible clinician at the inpatient service; (b) Monitoring: Three months after discharge with the patient and outpatient clinician. A written treatment plan is signed by all participants after each session.</p> <p>Primary endpoints are whether participants in the intervention group will show fewer hospital days and readmissions to hospital. Secondary endpoints are better compliance with aftercare, better clinical outcome and quality of life, as well as cost-effectiveness and cost-utility.</p> <p>Discussion</p> <p>If a needs-oriented discharge planning and monitoring proves to be successful in this RCT, a tool will be at hand to improve patient outcome and reduce costs via harmonising fragmented mental health service provision.</p> <p>Trial Registration</p> <p>ISRCTN59603527</p

The Nordic Comparative Study on Sectorized Psychiatry: continuity of care related to characteristics of the psychiatric services and the patients

The problem addressed in this paper is how continuity of care is related to characteristics of psychiatric services, previous events in a patient's pattern of care and patient characteristics. The present paper is a part of a Nordic Comparative Study on Sectorized Psychiatry in seven catchment areas in four Nordic countries. One-year-treated-incidence cohorts were used. Each patient was followed for 1 year after the first contact with the psychiatric service. Continuity of care was measured by the time from discharge from hospital to the first subsequent day-patient or outpatient contact. Notable findings were large differences in the continuity of care in the seven services, high proportions of discharges without any aftercare contacts and long time lags between discharges and aftercare contacts in most of the catchment areas. A Cox regression analysis revealed that aftercare following hospitalisation seems to be more probable if the outpatient services are located geographically close to the patients, if the hospitalisation lasted between 2 and 4 weeks, if there was a community care contact shortly before the hospital admission and if the patient is not retired and not divorced. Staff resources were not related to continuity of care

Predictors for readmission risk of new patients:the Nordic Comparative Study on Sectorized Psychiatry

Objective: Predictors for readmission risk were investigated in this study, which forms part of the Nordic Comparative Study on Sectorized Psychiatry. Method: Included were a total of 837 consecutive 'new' patients (not in contact with the psychiatric services for at least 18 months) admitted to in-patient stay during a period of 1 year to seven psychiatric hospitals in four Nordic countries. Results: Multivariate survival analyses showed that younger age predicted increased readmission risk. Stratifying on gender, diagnostic group and sector revealed a general pattern concerning age which was the only consistent main effect. Living alone and unemployed increased readmission risk in the non-psychosis group, while receipt of aftercare decreased readmission risk in the psychosis group. A curvilinear relationship was found between availability of psychiatric resources and readmission risk: an intermediate amount of resources was associated with increased risk. Conclusion: Our findings support a hyphothesis that readmission risk is multifactorially determined and that interactions have to be considered