ArticleHealth & social care in the community2021
Individual, social, and environmental factors for infection risk among home healthcare patients: A multi-method study.
Article in Health & social care in the community, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07645976 (High Prevalence But Low Awareness of Environmental Risks in Home Care), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
High Prevalence But Low Awareness of Environmental Risks in Home Care: A Cross-Sectional Study
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk factors for infection in older adults with home care: a mixed methods systematic review with meta-analysis.BMC public health · 2025Pooled it
- Developing and validating a sequence-aware deep learning model for infection risk prediction in home care.International journal of medical informatics · 2026Article
- Infection prevention and control knowledge, attitudes, and practices among home health care patients and their family caregivers: Findings from a multisite survey.American journal of infection control · 2026Article
- Infection prevention practice in home healthcare: a mixed-method study in two Swiss home healthcare organisations.BMC health services research · 2024Article
- Barriers and facilitators to infection prevention practices in home healthcare: a scoping review and proposed implementation framework.Infection prevention in practice · 2024Article
- Face and content validity of an instrument to measure dampness and mold damage in a Spanish-speaking Latin American context.Revista CuidarteArticle
- Mitigating and Solving Infection Prevention and Control Challenges During the COVID-19 Pandemic: Results From Qualitative Interviews With U.S. Home Healthcare Staff.Home healthcare nowArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
There has been limited research into the individual, social, and environmental factors for infection risk among patients in the home healthcare (HHC) setting, where the infection is a leading cause of hospitalisation. The aims of this study were to (1) explore nurse perceptions of individual, social, and environmental factors for infection risk among HHC patients; and (2) identify the frequency of environmental barriers to infection prevention and control in HHC. Data were collected in 2017-2018 and included qualitative interviews with HHC nurses (n = 50) and structured observations of nurse visits to patients' homes (n = 400). Thematic analyses of interviews with nurses suggested they perceived infection risk among patients as being influenced by knowledge of and attitudes towards infection prevention and engagement in hygiene practices, receipt of support from informal caregivers and nurse interventions aimed at cultivating infection control knowledge and practices, and the home environment. Statistical analyses of observation checklists revealed nurses encountered an average of 1.7 environmental barriers upon each home visit. Frequent environmental barriers observed during visits to HHC patients included clutter (39.5%), poor lighting (38.8%), dirtiness (28.5%), and pets (17.2%). Additional research is needed to clarify inter-relationships among these factors and identify strategies for addressing each as part of a comprehensive infection control program in HHC.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.