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Min D, Park S, Kim S, Park HO. Patient Safety in Nursing Homes From an Ecological Perspective: An Integrated Review. J Patient Saf 2024; 20:77-84. [PMID: 38126786 DOI: 10.1097/pts.0000000000001189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
OBJECTIVES The aims of the study were to identify the systemic factors affecting the characteristics and safety of older adults living in nursing homes and the resulting resident outcomes and to explore the relationship between them through an integrated literature review. METHODS A literature search was conducted from April 22 to May 6, 2021, in the PubMed, Embase, Cochrane CENTRAL, CIHNAL, RISS, NDL, and KoreaMed databases. The following key words and MeSH terms were used for the search: "nursing home," "skilled nursing facility," "long-term care facility," and "patient safety" or "safety." RESULTS Forty-seven qualifying articles were finally selected. Three domains were derived as personal factors, 12 as facility factors, and one as a policy factor. The interrelationships between them could result in positive or negative resident outcomes. The relationship between them was also reconstructed from an ecological perspective. CONCLUSIONS The results demonstrated that the safety and quality of life of older adults living in nursing homes were affected by both individual and institutional factors.
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Affiliation(s)
- Deulle Min
- From the Department of Nursing, College of Medicine, Wonkwang University, Iksan
| | - Seungmi Park
- Department of Nursing Science, College of Medicine, Chungbuk National University, Cheongju
| | - Suhee Kim
- School of Nursing and Research Institute of Nursing Science, Hallym University
| | - Hye Ok Park
- Department of Nursing Science, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea
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Watson E, Rajkhowa A, Dunt D, Bull A, Worth LJ, Bennett N. Evaluation of an Infection surveillance program in residential aged care facilities in Victoria, Australia. BMC Public Health 2024; 24:254. [PMID: 38254078 PMCID: PMC10801934 DOI: 10.1186/s12889-023-17482-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 12/14/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Infection surveillance is a key element of infection prevention and control activities in the aged care sector. In 2017, a standardised infection surveillance program was established for public residential aged care services in Victoria, Australia. This program will soon be expanded to a national level for all Australian residential aged care facilities. It has not been evaluated since its inception. METHODS The current study aimed to evaluate the Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre Aged Care Infection Indicator Program (ACIIP), to understand its performance and functionality. A mixed methods evaluation was performed using the Updated Guidelines for Evaluating Public Health Surveillance Systems developed by the United States Centers for Disease Control and Prevention as a framework. VICNISS staff who coordinate and manage the ACIIP were invited to participate in interviews. Residential aged care staff who use the program were invited to participate in a survey. Document analysis was also performed. RESULTS Four VICNISS staff participated in the interviews and 38 aged care staff participated in the survey. The ACIIP is stable and able to be adapted quickly to changing definitions for infections. Users found the system relatively easy to use but have difficulties after the long intervals between data entry year on year. VICNISS staff provide expert guidance which benefits users. Users appreciated the benefit of participating and many use the data for improving local practice. CONCLUSIONS The ACIIP is a usessful state-wide infection surveillance program for aged care. Further development of data validation, IT system capacity and models for education and user support will be required to support future scalability.
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Affiliation(s)
- Eliza Watson
- Doherty Institute for Infection and Immunity, Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, 792 Elizabeth St, Melbourne, VIC, 3000, Australia
| | - Arjun Rajkhowa
- Department of Infectious Diseases, National Centre for Antimicrobial Stewardship, The University of Melbourne, Melbourne, VIC, 3000, Australia
| | - David Dunt
- The University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Ann Bull
- Doherty Institute for Infection and Immunity, Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, 792 Elizabeth St, Melbourne, VIC, 3000, Australia
| | - Leon J Worth
- Doherty Institute for Infection and Immunity, Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, 792 Elizabeth St, Melbourne, VIC, 3000, Australia
- Department of Oncology, Department of Infectious Diseases, University of Melbourne Cancer, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia
- Department of Nursing, Melbourne School of Health Sciences, The University of Melbourne, Melbourne, VIC, 3065, Australia
| | - Noleen Bennett
- Doherty Institute for Infection and Immunity, Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, 792 Elizabeth St, Melbourne, VIC, 3000, Australia.
- Department of Infectious Diseases, National Centre for Antimicrobial Stewardship, The University of Melbourne, Melbourne, VIC, 3000, Australia.
- Department of Nursing, Melbourne School of Health Sciences, The University of Melbourne, Melbourne, VIC, 3065, Australia.
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Watson E, Dowson L, Dunt D, Thursky K, Worth LJ, Sluggett JK, Appathurai A, Bennett N. Identifying barriers and enablers to participation in infection surveillance in Australian residential aged care facilities. BMC Public Health 2023; 23:2160. [PMID: 37924023 PMCID: PMC10625226 DOI: 10.1186/s12889-023-16891-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 10/04/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Infection surveillance is a vital part of infection prevention and control activities for the aged care sector. In Australia there are two currently available infection and antimicrobial use surveillance programs for residential aged care facilities. These programs are not mandated nor available to all facilities. Development of a new surveillance program will provide standardised surveillance for all facilities in Australia. METHODS This study aimed to assess barriers and enablers to participation in the two existing infection and antimicrobial use surveillance programs, to improve development and implementation of a new program. A mixed-methods study was performed. Aged Care staff involved in infection surveillance were invited to participate in focus groups and complete an online survey comprising 17 items. Interviews were transcribed and analysed using the COM-B framework. RESULTS Twenty-nine staff took part in the focus groups and two hundred took part in the survey. Barriers to participating in aged care infection surveillance programs were the time needed to collect and enter data, competing priority tasks, limited understanding of surveillance from some staff, difficulty engaging clinicians, and staff fatigue after the COVID-19 pandemic. Factors that enabled participation were previous experience with surveillance, and sharing responsibilities, educational materials and using data for benchmarking and to improve practice. CONCLUSION Streamlined and simple data entry methods will reduce the burden of surveillance on staff. Education materials will be vital for the implementation of a new surveillance program. These materials must be tailored to different aged care workers, specific to the aged care context and provide guidance on how to use surveillance results to improve practice.
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Affiliation(s)
- Eliza Watson
- Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, Melbourne, VIC, 3000, Australia
| | - Leslie Dowson
- National Centre for Antimicrobial Stewardship, Department of Infectious Diseases, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - David Dunt
- Professor Emeritus, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Karin Thursky
- National Centre for Antimicrobial Stewardship, Department of Infectious Diseases, The University of Melbourne, Parkville, VIC, 3010, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010 , Australia
- The Royal Melbourne Hospital Guidance Group, Melbourne, VIC, 3000, Australia
| | - Leon J Worth
- Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, Melbourne, VIC, 3000, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC, 3010 , Australia
- Department of Medicine, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Janet K Sluggett
- University of South Australia, UniSA Allied Health and Human Performance, Adelaide, SA, 5001, Australia
- Registry of Senior Australians (ROSA), Healthy Ageing Research Consortium, South Australian Health and Medical Research Institute, Adelaide, SA, 5001, Australia
| | - Amanda Appathurai
- National Centre for Antimicrobial Stewardship, Department of Infectious Diseases, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Noleen Bennett
- Victorian Healthcare Associated Infection Surveillance System (VICNISS) Coordinating Centre, Melbourne, VIC, 3000, Australia.
- National Centre for Antimicrobial Stewardship, Department of Infectious Diseases, The University of Melbourne, Parkville, VIC, 3010, Australia.
- Department of Nursing, Melbourne School of Health Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia.
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Su Z, Meyer K, Li Y, McDonnell D, Joseph NM, Li X, Du Y, Advani S, Cheshmehzangi A, Ahmad J, da Veiga CP, Chung RYN, Wang J, Hao X. Technology-based interventions for nursing home residents: a systematic review protocol. BMJ Open 2021; 11:e056142. [PMID: 34853115 PMCID: PMC8638465 DOI: 10.1136/bmjopen-2021-056142] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/25/2021] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION A growing number of technology-based interventions are used to support the health and quality of life of nursing home residents. The onset of COVID-19 and recommended social distancing policies that followed led to an increased interest in technology-based solutions to provide healthcare and promote health. Yet, there are no comprehensive resources on technology-based healthcare solutions that describe their efficacy for nursing home residents. This systematic review will identify technology-based interventions designed for nursing home residents and describe the characteristics and effects of these interventions concerning the distinctive traits of nursing home residents and nursing facilities. Additionally, this paper will present practical insights into the varying intervention approaches that can assist in the delivery of broad digital health solutions for nursing home residents amid and beyond the impact of COVID-19. METHODS AND ANALYSIS Databases including the PubMed, PsycINFO, CINAHL and Scopus will be used to identify articles related to technology-based interventions for nursing home residents published between 1 January 2010 to 30 September 2021. Titles, abstracts and full-text papers will be reviewed against the eligibility criteria. The Cochrane Collaboration evaluation framework will be adopted to examine the risk of bias of the included study. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedures will be followed for the reporting process and implications for existing interventions and research evaluated by a multidisciplinary research team. ETHICS AND DISSEMINATION As the study is a protocol for a systematic review, ethical approval is not required. The study findings will be disseminated via peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER CRD 42020191880.
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Affiliation(s)
- Zhaohui Su
- School of Nursing, Center on Smart and Connected Health Technologies, Mays Cancer Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Kylie Meyer
- School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Yue Li
- Health Services Research & Policy (HSRP) PhD & MS Programs; Director of Research, Division of Health Policy and Outcomes Research (HPOR); Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - Dean McDonnell
- Department of Humanities, Institute of Technology Carlow, Carlow, Ireland
| | - Nitha Mathew Joseph
- Department of Under Graduate Studies, Cizik School of Nursing, The University of Texas Health Science Center, Houston, Texas, USA
| | - Xiaoshan Li
- Program of Public Relations and Advertising, Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, Guangdong, China
| | - Yan Du
- School of Nursing, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA
| | - Shailesh Advani
- Terasaki Institute of Biomedical Innovation, Los Angeles, California, USA
| | - Ali Cheshmehzangi
- Architecture and Urban Design, Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, Zhejiang, China
| | - Junaid Ahmad
- Department of Public Health, Peshawar Medical College, Peshawar, Pakistan
| | | | - Roger Yat-Nork Chung
- School of Public Health & Primary Care, Faculty of Medicine (RY-NC) and Institute of Health Equity (RY-NC), The Chinese University of Hong Kong, Hong Kong, Hong Kong
- Department of Social Sciences, Faculty of Liberal Arts and Social Sciences, The Education University of Hong Kong, Hong Kong, Hong Kong
| | - Jing Wang
- College of Nursing, Florida State University, Tallahassee, Florida, USA
| | - Xiaoning Hao
- Director of Division, Division of Health Security Research, China National Health Development Research Center, National Health Commission, Beijing, China
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Ecological Analysis of the Decline in Incidence Rates of COVID-19 Among Nursing Home Residents Associated with Vaccination, United States, December 2020-January 2021. J Am Med Dir Assoc 2021; 22:2009-2015. [PMID: 34487687 PMCID: PMC8360974 DOI: 10.1016/j.jamda.2021.08.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 08/06/2021] [Accepted: 08/07/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To evaluate if facility-level vaccination after an initial vaccination clinic was independently associated with COVID-19 incidence adjusted for other factors in January 2021 among nursing home residents. DESIGN Ecological analysis of data from the CDC's National Healthcare Safety Network (NHSN) and from the CDC's Pharmacy Partnership for Long-Term Care Program. SETTING AND PARTICIPANTS CMS-certified nursing homes participating in both NHSN and the Pharmacy Partnership for Long-Term Care Program. METHODS A multivariable, random intercepts, negative binomial model was applied to contrast COVID-19 incidence rates among residents living in facilities with an initial vaccination clinic during the week ending January 3, 2021 (n = 2843), vs those living in facilities with no vaccination clinic reported up to and including the week ending January 10, 2021 (n = 3216). Model covariates included bed size, resident SARS-CoV-2 testing, staff with COVID-19, cumulative COVID-19 among residents, residents admitted with COVID-19, community county incidence, and county social vulnerability index (SVI). RESULTS In December 2020 and January 2021, incidence of COVID-19 among nursing home residents declined to the lowest point since reporting began in May, diverged from the pattern in community cases, and began dropping before vaccination occurred. Comparing week 3 following an initial vaccination clinic vs week 2, the adjusted reduction in COVID-19 rate in vaccinated facilities was 27% greater than the reduction in facilities where vaccination clinics had not yet occurred (95% confidence interval: 14%-38%, P < .05). CONCLUSIONS AND IMPLICATIONS Vaccination of residents contributed to the decline in COVID-19 incidence in nursing homes; however, other factors also contributed. The decline in COVID-19 was evident prior to widespread vaccination, highlighting the benefit of a multifaced approach to prevention including continued use of recommended screening, testing, and infection prevention practices as well as vaccination to keep residents in nursing homes safe.
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Daker-White G, Panagioti M, Giles S, Blakeman T, Moore V, Hall A, Jones PP, Wright O, Shears B, Tyler N, Campbell S. Beyond the control of the care home: A meta-ethnography of qualitative studies of Infection Prevention and Control in residential and nursing homes for older people. Health Expect 2021; 25:2095-2106. [PMID: 34420254 PMCID: PMC9615085 DOI: 10.1111/hex.13349] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/22/2021] [Accepted: 08/04/2021] [Indexed: 11/26/2022] Open
Abstract
Objective This study aimed to develop interpretive insights concerning Infection Prevention and Control (IPC) in care homes for older people. Design This study had a meta‐ethnography design. Data Sources Six bibliographic databases were searched from inception to May 2020 to identify the relevant literature. Review Methods A meta‐ethnography was performed. Results Searches yielded 652 records; 15 were included. Findings were categorized into groups: The difficulties of enacting IPC measures in the care home environment; workload as an impediment to IPC practice; the tension between IPC and quality of life for care home residents; and problems dealing with medical services located outside the facility including diagnostics, general practice and pharmacy. Infection was revealed as something seen to lie ‘outside’ the control of the care home, whether according to origins or control measures. This could help explain the reported variability in IPC practice. Facilitators to IPC uptake involved repetitive training and professional development, although such opportunities can be constrained by the ways in which services are organized and delivered. Conclusions Significant challenges were revealed in implementing IPC in care homes including staffing skills, education, workloads and work routines. These challenges cannot be properly addressed without resolving the tension between the objectives of maintaining resident quality of life while enacting IPC practice. Repetitive staff training and professional development with parallel organisational improvements have prospects to enhance IPC uptake in residential and nursing homes. Patient or Public Contribution A carer of an older person joined study team meetings and was involved in writing a lay summary of the study findings.
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Affiliation(s)
- Gavin Daker-White
- Division of Population Health, Health Services Research and Primary Care, Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK.,Division of Population Health, Health Services Research and Primary Care, NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Maria Panagioti
- Division of Population Health, Health Services Research and Primary Care, Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK.,Division of Population Health, Health Services Research and Primary Care, NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Sally Giles
- Division of Population Health, Health Services Research and Primary Care, Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK.,Division of Population Health, Health Services Research and Primary Care, NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Thomas Blakeman
- Division of Population Health, Health Services Research and Primary Care, Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK
| | - Victoria Moore
- Division of Population Health, Health Services Research and Primary Care, NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.,The University of Manchester Law School, Manchester, UK
| | - Alex Hall
- Division of Nursing, Midwifery and Social Work, The University of Manchester, Manchester, UK
| | - Paul P Jones
- Division of Population Health, Health Services Research and Primary Care, Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK
| | - Oliver Wright
- Division of Population Health, Health Services Research and Primary Care, Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK
| | - Bethany Shears
- Division of Population Health, Health Services Research and Primary Care, Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK
| | - Natasha Tyler
- Division of Population Health, Health Services Research and Primary Care, Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK.,Division of Population Health, Health Services Research and Primary Care, NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Stephen Campbell
- Division of Population Health, Health Services Research and Primary Care, Centre for Primary Care and Health Services Research, The University of Manchester, Manchester, UK.,Division of Population Health, Health Services Research and Primary Care, NIHR Greater Manchester Patient Safety Translational Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
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Facilitators and challenges experienced by nursing homes enrolling in the CDC national health care safety network. Am J Infect Control 2021; 49:458-463. [PMID: 32890551 DOI: 10.1016/j.ajic.2020.08.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/21/2020] [Accepted: 08/26/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Standardized measurement of health care-associated infections is essential to improving nursing home (NH) resident safety, however voluntary enrollment of NHs in Centers for Disease Control and Prevention's National Healthcare Safety Network (NHSN) requires several steps. We sought to prospectively identify NH structural, process or staff characteristics that affect enrollment and data submission among a cohort of NHs receiving facilitated implementation. METHODS The evaluation employed a mixed methods approach. The meta-theoretical Consolidated Framework for Implementation Research was used to analyze reported facilitators and challenges. Primary and secondary outcomes were time to NHSN enrollment and data submission, respectively. RESULTS Of 36 participating NHs, 27 (75%) completed NHSN enrollment and 21 (58%) submitted 1 or more months of infection data during the 8-month study period. Mean days to complete enrollment was 82 (standard deviation [SD] = 24, range = 51-139) and days to first data submission was 112 (SD = 45, range = 71-245). Characteristics of NH staff liaisons associated with shorter time to enrollment included infection prevention and control knowledge, personal confidence, and responsibility for infection prevention and control activities. Facility characteristics were not associated with outcomes. DISCUSSION Time to NHSN enrollment and submission related more to characteristics of the person leading the process than to characteristics of the NH. CONCLUSIONS External partnerships that provide real-time support and resources are important assets in promoting successful NH participation in NHSN.
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Risk adjustment for benchmarking nursing home infection surveillance data: A narrative review. Am J Infect Control 2021; 49:366-374. [PMID: 32791257 DOI: 10.1016/j.ajic.2020.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 11/20/2022]
Abstract
Until recently, there was no national surveillance system for monitoring infection occurrence in long-term care facilities (LTCF) in the United States. As a result, there are no national benchmarks for LTCF infection rates that can be utilized for quality improvement at the facility level. One of the major challenges in the reporting of health care-related infection data is accounting for nonmodifiable facility and patient characteristics that influence benchmarks for infection. The objectives of this paper are to review: (a) published infection rates in LTCF in the United States to assess the level of variability; (b) studies describing facility- and resident-level risk factors for infection that can be used in risk adjustment models; (c) published attempts to risk-adjust LTCF infection rates; and (d) efforts to develop models specifically for risk adjustment of infection rates in LTCF for benchmarking. It is anticipated that this review will stimulate further study of methods to risk-adjust LTCF infection rates for benchmarking that will facilitate research and public reporting.
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Su Z, Meyer K, Li Y, McDonnell D, Joseph NM, Li X, Du Y, Advani S, Cheshmehzangi A, Ahmad J, da Veiga CP, Chung RYN, Wang J. Technology-Based Interventions for Nursing Home Residents: Implications for Nursing Home Practice Amid and Beyond the Influence of COVID-19: A Systematic Review Protocol. RESEARCH SQUARE 2020:rs.3.rs-56102. [PMID: 36597539 PMCID: PMC7444297 DOI: 10.21203/rs.3.rs-56102/v2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background A growing number of technology-based interventions are used to support the health and quality of life of nursing home residents. The onset of COVID-19 and recommended social distancing policies that followed led to an increased interest in technology-based solutions to provide healthcare and promote health. Yet, there are no comprehensive resources on technology-based healthcare solutions that describe their efficacy for nursing home residents. This systematic review will identify technology-based interventions designed for nursing home residents and describe the characteristics and effects of these interventions concerning the distinctive traits of nursing home residents and nursing facilities. Additionally, this paper will present practical insights into the varying intervention approaches that can assist in the delivery of broad digital health solutions for nursing home residents amid and beyond the impact of COVID-19. Methods Databases including PubMed, PsycINFO, CINAHL, and Scopus will be used to identify articles related to technology-based interventions for nursing home residents published between January 1st, 2010 to December 4th, 2020. Titles, abstracts, and full-texts papers will be reviewed against the eligibility criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedures will be followed for the reporting process, and implications for existing interventions and research evaluated by a multidisciplinary research team. Results NA-protocol study. Conclusions Our study will fill critical gaps in the literature by providing a review of technology-based interventions tested in the nursing home setting. As the older adult population grows, there is an urgent need to identify effective technology-based interventions that can address the distinctive characteristics and preferences of nursing home residents. Clear and comprehensive understanding of how available technology-based health solutions facilitate healthcare for nursing home residents will shed light on the approaches open to residents to fend off the negative health consequences amid and beyond the influence of COVID-19. Systematic Review Registrations PROSPERO CRD 42020191880.
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Affiliation(s)
- Zhaohui Su
- University of Texas Health Science Center at San Antonio
| | - Kylie Meyer
- University of Texas Health Science Center at San Antonio
| | - Yue Li
- University of Rochester Medical Center
| | | | | | - Xiaoshan Li
- Beijing Normal University-Hong Kong Baptist University United International College
| | - Yan Du
- University of Texas Health Science Center at San Antonio
| | | | | | | | | | | | - Jing Wang
- University of Texas Health Science Center at San Antonio
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Su Z, Meyer K, Li Y, McDonnell D, Joseph NM, Li X, Du Y, Advani S, Cheshmehzangi A, Ahmad J, da Veiga CP, Chung RYN, Wang J. Technology-Based Interventions for Nursing Home Residents: Implications for Nursing Home Practice Amid and Beyond the Influence of COVID-19: A Systematic Review Protocol. RESEARCH SQUARE 2020:rs.3.rs-56102. [PMID: 32839768 PMCID: PMC7444297 DOI: 10.21203/rs.3.rs-56102/v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Background: A growing number of technology-based interventions are used to support the health and quality of life of nursing home residents. The onset of COVID-19 and recommended social distancing policies that followed led to an increased interest in technology-based solutions to provide healthcare and promote health. Yet, there are no comprehensive resources on technology-based healthcare solutions that describe their efficacy for nursing home residents. This systematic review will identify technology-based interventions designed for nursing home residents and describe the characteristics and effects of these interventions concerning the distinctive traits of nursing home residents and nursing facilities. Additionally, this paper will present practical insights into the varying intervention approaches that can assist in the delivery of broad digital health solutions for nursing home residents amid and beyond the impact of COVID-19. Methods: Databases including PubMed, PsycINFO, CINAHL, and Scopus will be used to identify articles related to technology-based interventions for nursing home residents published between January 1 st , 2020 to July 7 th , 2020. Titles, abstracts, and full-texts papers will be reviewed against the eligibility criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses procedures will be followed for the reporting process, and implications for existing interventions and research evaluated by a multidisciplinary research team. Results: NAâ€"protocol study Conclusions: Our study will fill critical gaps in the literature by providing a review of technology-based interventions tested in the nursing home setting. As the older adult population grows, there is an urgent need to identify effective technology-based interventions that can address the distinctive characteristics and preferences of nursing home residents. Clear and comprehensive understanding of how available technology-based health solutions facilitate healthcare for nursing home residents will shed light on the approaches open to residents to fend off the negative health consequences amid and beyond the influence of COVID-19. Systematic Review Registrations: PROSPERO CRD 42020191880.
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Fu CJ, Agarwal M, Dick AW, Bell JM, Stone ND, Chastain AM, Stone PW. Self-reported National Healthcare Safety Network knowledge and enrollment: A national survey of nursing homes. Am J Infect Control 2020; 48:212-215. [PMID: 31606259 DOI: 10.1016/j.ajic.2019.08.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/09/2019] [Accepted: 08/10/2019] [Indexed: 10/25/2022]
Abstract
Predictors of nursing home staff knowledge of the National Healthcare Safety Network (NHSN) and facility enrollment were explored in a national survey. Facility participation in Quality Innovation Network-Quality Improvement Organization initiatives was positively associated with both knowledge and enrollment. In addition, engaging clinical personnel in decision making on NHSN enrollment was positively associated with staff knowledge of NHSN.
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Quigley DD, Dick A, Stone PW. Quality Innovation Networks Share Varied Resources for Nursing Homes on Mostly User-Friendly Websites. J Am Geriatr Soc 2019; 67:2376-2381. [PMID: 31675106 PMCID: PMC8173537 DOI: 10.1111/jgs.16201] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 06/30/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND/OBJECTIVE Quality innovation networks' (QINs') support of nursing homes (NHs) is a national strategy to systematically improve the quality of care experienced by residents. QINs have been tasked with providing NHs with information, resources, tools, and training to assist in developing best practices and to support quality improvement efforts in infection prevention (including joining the National Healthcare Safety Network [NHSN]), avoid unnecessary hospitalizations, and increase use of hospice and palliative care. Our objective was to examine QIN online resources provided to NHs to support best practices and improvement efforts. DESIGN An environmental scan was conducted. SETTING/MEASUREMENT Each QIN website was evaluated on (1) usability, (2) accessibility and prominence, (3) website design, (4) availability of training materials, (5) recency of update, (6) identification of key personnel, and (8) quality focus areas (ie, infection prevention, NHSN, antibiotic stewardship, reducing unnecessary or avoidable hospitalizations, and palliative and hospice care). RESULTS QIN websites varied dramatically in design and resources offered to NHs as well as in the content and ease of finding information. Antibiotic stewardship and NHSN resources were widely available. Information (ie, fact sheets) on reducing avoidable hospitalizations was commonly available, while resources, such as tool kits, webinars, training, and contact information for personnel on reducing avoidable hospitalizations, were available to 23 states. Infection prevention resources were varied and limited to 34 states. Both palliative care and hospice resources were available through only a few QINs (13 states and 20 states, respectively). CONCLUSIONS Given that much of the information, tool kits, and resources are standardized and in the public domain, centralized resources with tailored or specialized links to unique local resources, like in-person trainings and state-specific contact information, could be more beneficial for NHs. J Am Geriatr Soc 67:2376-2381, 2019.
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