ArticleBMC health services research2015
Quantifying the demand for hospital care services: a time and motion study.
Article in BMC health services research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 27 citations in OpenAlex.
- Machine Learning and Causal Approaches to Predict Readmissions and Its Economic Consequences Among Canadian Patients With Heart Disease: Retrospective Study.JMIR formative research · 2023Article
- Preferences for healthcare services among hypertension patients in China: a discrete choice experiment.BMJ open · 2021Article
- Nursing competencies for family-centred care in the hospital setting: A multinational Q-methodology study.Journal of advanced nursing · 2021Review
- A time motion study of community mental health workers in rural India.BMC health services research · 2019Article
- Developing an evidence-based and theory informed intervention to involve families in patients care after surgery: A quality improvement project.International journal of nursing sciences · 2019Article
- Nurses' Stress Associated with Nursing Activities and Electronic Health Records: Data Triangulation from Continuous Stress Monitoring, Perceived Workload, and a Time Motion Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Nurses' Time Allocation and Multitasking of Nursing Activities: A Time Motion Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Delivery of Community-Based Palliative Care: Findings from a Time and Motion Study.Journal of palliative medicine · 2017Article
- Is Spending More Time Associated With Less Missed Care?: A Comparison of Time Use and Missed Care Across 15 Nursing Units at 2 Hospitals.The Journal of nursing administration · 2016Article
- Characterization of actions taken during the delivery of medication therapy management: A time-and-motion approach.Journal of the American Pharmacists Association : JAPhAArticle
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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 & 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.
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