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BMC Health Services Research

, 15:15

Organization, structure and delivery of healthcare

Abstract

BackgroundThe actual amount of care hospitalised patients need is unclear. A model to quantify the demand for hospital care services among various clinical specialties would avail healthcare professionals and managers to anticipate the demand and costs for clinical care.

MethodsThree medical specialties in a Dutch university hospital participated in this prospective time and motion study. To include a representative sample of patients admitted to clinical wards, the most common admission diagnoses were selected from the most recent update of the national medical registry LMR of ICD-10 admission diagnoses. The investigators recorded the time spent by physicians and nurses on patient care. Also the costs involved in medical and nursing care, surgical interventions, and diagnostic procedures as an estimate of the demand for hospital care services per hospitalised patient were calculated and cumulated. Linear regression analysis was applied to determine significant factors including patient and healthcare outcome characteristics.

ResultsFifty patients on the Surgery 19, Pediatrics 17, and Obstetrics and Gynecology 14 wards were monitored during their hospitalization. Characteristics significantly associated with the demand for healthcare were: polypharmacy during hospitalization, complication severity level, and whether a surgical intervention was performed.

ConclusionsA set of predictors of the demand for hospital care services was found applicable to different clinical specialties. These factors can all be identified during hospitalization and be used as a managerial tool to monitor the patients’ demand for hospital care services and to detect trends in time.

KeywordsPatient characteristics Demand for hospital care services Time and motion research Multivariable regression analysis  Download fulltext PDF



Autor: Catharina J van Oostveen - Dirk J Gouma - Piet J Bakker - Dirk T Ubbink

Fuente: https://link.springer.com/







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