ArticleHome health care management & practice2021
Planning the Episode: Home Care Admission Nurse Decision-Making Regarding the Patient Visit Pattern.
Article in Home health care management & practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The trial behind it
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Who cites it
4 citing papers in PubMed.
- Registered nurses' clinical reasoning in home-based care: a retrospective think-aloud design - the DECIDE project.International journal of nursing studies advances · 2026Article
- Delphi method validation of a tool for planning home visits in palliative care: palliative care parametrisation tool.Ecancermedicalscience · 2026Article
- Improving transitions and outcomes of sepsis survivors (I-TRANSFER): a type 1 hybrid protocol.BMC palliative care · 2022Article
- Transitions of Care: Completeness of the Interoperability Data Standard for Communication from Home Health Care to Primary Care.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
During home health care (HHC) admissions, nurses provide input into decisions regarding the skilled nursing visit frequency and episode duration. This important clinical decision can impact patient outcomes including hospitalization. Episode duration has recently gained greater importance due to the Centers for Medicare and Medicaid Services (CMS) decrease in reimbursable episode length from 60 to 30 days. We examined admissions nurses' visit pattern decision-making and whether it is influenced by documentation available before and during the first home visit, agency standards, other disciplines being scheduled, and electronic health record (EHR) use. This observational mixed-methods study included admission document analysis, structured interviews, and a think-aloud protocol with 18 nurses from 3 diverse HHC agencies (6 at each) admitting 2 patients each (36 patients). Findings show that prior to entering the home, nurses had an information deficit; they either did not predict the patient's visit frequency and episode duration or stated them based on experience with similar patients. Following patient interaction in the home, nurses were able to make this decision. Completion of documentation using the EHR did not appear to influence visit pattern decisions. Patient condition and insurance restrictions were influential on both frequency and duration. Given the information deficit at admission, and the delay in visit pattern decision making, we offer health information technology recommendations on electronic communication of structured information, and EHR documentation and decision support.
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Registered trials
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