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Koru G, Zhang Y, Felix H. Identifying the process and agency characteristics associated with poor utilization outcomes in home healthcare. Home Health Care Serv Q 2024; 43:205-219. [PMID: 38230702 DOI: 10.1080/01621424.2024.2305933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
This study identified the process and agency characteristics associated with poor utilization outcomes - higher percentages of patients (i) admitted to an acute care organization and (ii) visited an emergency room (ER) unplanned without hospitalization - for home health agencies (HHAs) in the United States. We conducted a secondary analysis of data about HHAs' various characteristics, process adherence levels, and utilization outcomes collected from disparate public repositories for 2010-2022. We developed descriptive tree-based models using HHAs' hospital admission or ER visit percentages as response variables. Across the board, hospital admission percentages have steadily improved while ER percentages deteriorated for an extended period. Recently, checking for fall risks and depression was associated with improved outcomes for urban agencies. In general, rural HHAs had worse utilization outcomes than urban HHAs. Targeted investments and improvement initiatives can help rural HHAs close the urban-rural gap in the future.
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Affiliation(s)
- Güneş Koru
- Health Policy and Management, University of Arkansas for Medical Sciences, Springdale, USA
| | - Yili Zhang
- Innovation Center for Biomedical Informatics, Georgetown University, Washington, USA
| | - Holly Felix
- Health Policy and Management, University of Arkansas for Medical Sciences, Springdale, USA
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Lee H, Kim A, Heo H, Lee J, Woo K. Examining Characteristics and Service Utilization of South Korean Home Health Care Patients: Secondary Analysis of 10-Year Data From a Tertiary Hospital. HOME HEALTH CARE MANAGEMENT AND PRACTICE 2022. [DOI: 10.1177/10848223221099603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This study aimed to identify the characteristics of home health care (HHC) patients, main diagnoses, service type, home visit patterns, and primary caregiver type from a major tertiary hospital in South Korea to provide basic data for tailored nursing care. We used Electronic Health Records (EHRs) data of 1776 patients, from 2011 to 2020, from a premier tertiary hospital in South Korea and conducted secondary data analysis using descriptive statistics, a chi-squared test, and an independent samples t-test. Patients’ mean age (i.e., 50.9% men and 49.1% women) was 74.50 ± 15.48 years. Further, admission to HHC via the outpatient and inpatient department comprised 1047 (59.0%) and 729 patients (41.0%), respectively. Based on the Korean Standard Classification of Diseases, neoplasms (49.9%) were identified as the most common main diagnosis, followed by diseases of the nervous system (10.3%) and musculoskeletal system and connective tissue disease (6.2%). An average of 2.2 homecare nursing services were provided per visit, with lab sampling (43.9%), other intravenous injections (31.0%), and ventilator care (23.0%) being the most frequent services. The total HHC service period for patients via the outpatient department was 76.88 days longer (292.24 vs 215.36 days) than those from the inpatient department. Younger patients were cared for by parents and siblings and older patients by spouses, offspring, and formal caregivers. It is pivotal to identify general characteristics of HHC patients through long-term monitoring and retrospective analysis to provide high-quality and tailored interventions to them.
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Affiliation(s)
- Hana Lee
- Seoul National University, South Korea
| | - Aeri Kim
- Seoul National University, South Korea
| | | | - Jisoo Lee
- Seoul National University, South Korea
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O'Connor M, Kennedy EE, Hirschman KB, Mikkelsen ME, Deb P, Ryvicker M, Hodgson NA, Barrón Y, Stawnychy MA, Garren PA, Bowles KH. Improving transitions and outcomes of sepsis survivors (I-TRANSFER): a type 1 hybrid protocol. BMC Palliat Care 2022; 21:98. [PMID: 35655168 PMCID: PMC9160516 DOI: 10.1186/s12904-022-00973-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 04/11/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND This protocol is based on home health care (HHC) best practice evidence showing the value of coupling timely post-acute care visits by registered nurses and early outpatient provider follow-up for sepsis survivors. We found that 30-day rehospitalization rates were 7 percentage points lower (a 41% relative reduction) when sepsis survivors received a HHC nursing visit within 2 days of hospital discharge, at least 1 more nursing visit the first week, and an outpatient provider follow-up visit within 7 days compared to those without timely follow-up. However, nationwide, only 28% of sepsis survivors who transitioned to HHC received this timely visit protocol. The opportunity exists for many more sepsis survivors to benefit from timely home care and outpatient services. This protocol aims to achieve this goal. METHODS: Guided by the Consolidated Framework for Implementation Research, this Type 1 hybrid pragmatic study will test the effectiveness of the Improving Transitions and Outcomes of Sepsis Survivors (I-TRANSFER) intervention compared to usual care on 30-day rehospitalization and emergency department use among sepsis survivors receiving HHC. The study design includes a baseline period with no intervention, a six-month start-up period followed by a one-year intervention period in partnership with five dyads of acute and HHC sites. In addition to the usual care/control periods from the dyad sites, additional survivors from national data will serve as control observations for comparison, weighted to produce covariate balance. The hypotheses will be tested using generalized mixed models with covariates guided by the Andersen Behavioral Model of Health Services. We will produce insights and generalizable knowledge regarding the context, processes, strategies, and determinants of I-TRANSFER implementation. DISCUSSION As the largest HHC study of its kind and the first to transform this novel evidence through implementation science, this study has the potential to produce new knowledge about the impact of timely attention in HHC to alleviate symptoms and support sepsis survivor's recovery at home. If effective, the impact of this intervention could be widespread, improving the quality of life and health outcomes for a growing, vulnerable population of sepsis survivors. A national advisory group will assist with widespread results dissemination.
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Affiliation(s)
- Melissa O'Connor
- M. Louise College of Nursing, Villanova University, 800 Lancaster Avenue, Villanova, PA, 19085, USA
- Fellow, Betty Irene Moore Fellowship for Nurse Leaders and Innovators, Sacramento, CA, USA
- School of Nursing, NewCourtland Center for Transitions in Health, University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA, 19104, USA
| | - Erin E Kennedy
- School of Nursing, NewCourtland Center for Transitions in Health, University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA, 19104, USA
| | - Karen B Hirschman
- School of Nursing, NewCourtland Center for Transitions in Health, University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA, 19104, USA
| | - Mark E Mikkelsen
- Pulmonary, Allergy, and Critical Care Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA, 19104, USA
| | - Partha Deb
- Department of Economics, Hunter College, 695 Park Avenue, New York, 10065, USA
| | - Miriam Ryvicker
- Center for Home Care Policy & Research, VNS Health, 220 East 42nd Street, New York, NY, 10017, USA
| | - Nancy A Hodgson
- School of Nursing, NewCourtland Center for Transitions in Health, University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA, 19104, USA
| | - Yolanda Barrón
- Center for Home Care Policy & Research, VNS Health, 220 East 42nd Street, New York, NY, 10017, USA
| | - Michael A Stawnychy
- School of Nursing, NewCourtland Center for Transitions in Health, University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA, 19104, USA
| | - Patrik A Garren
- School of Nursing, NewCourtland Center for Transitions in Health, University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA, 19104, USA
| | - Kathryn H Bowles
- School of Nursing, NewCourtland Center for Transitions in Health, University of Pennsylvania, 418 Curie Boulevard, Philadelphia, PA, 19104, USA.
- Center for Home Care Policy & Research, VNS Health, 220 East 42nd Street, New York, NY, 10017, USA.
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Chou E, Sockolow PS. Transitions of Care: Completeness of the Interoperability Data Standard for Communication from Home Health Care to Primary Care. AMIA ... ANNUAL SYMPOSIUM PROCEEDINGS. AMIA SYMPOSIUM 2022; 2021:295-304. [PMID: 35308934 PMCID: PMC8861687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Data sharing is necessary to address communication deficits along the transitions of care among community settings. Evidence-based practice supports home healthcare (HHC) patients to see their primary care team within the first two weeks of hospital discharge to reduce rehospitalization risk. A small subset of patient data collected at HHC admission is mandated to be transmitted to primary care, predominantly by fax. Using qualitative analysis, we assessed completeness of the United States Core Data for Interoperability (USCDI) interoperability standard, as compared to the patient data collected by the primary care team (topics) and HHC (classes) during the initial visit; and offer interoperability recommendations. Findings indicate the USCDI does not cover 74% of the 19 faxed HHC classes that mapped to the primary care topics, and 95% of the 38 not-faxed HHC classes. We offer USCDI recommendations to address these interoperability gaps.
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Affiliation(s)
- Edgar Chou
- Thomas Jefferson University, Philadelphia, PA
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