Dataset Information

Technology-Based Interventions for Nursing Home Residents: Implications for Nursing Home Practice Amid and Beyond the Influence of COVID-19: A Systematic Review Protocol.

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.

SUBMITTER: Su Z

PROVIDER: S-EPMC7444297 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Technology-Based Interventions for Nursing Home Residents: Implications for Nursing Home Practice Amid and Beyond the Influence of COVID-19: A Systematic Review Protocol.

Su Zhaohui Z Meyer Kylie K Li Yue Y McDonnell Dean D Joseph Nitha Mathew NM Li Xiaoshan X Du Yan Y Advani Shailesh S Cheshmehzangi Ali A Ahmad Junaid J da Veiga Claudimar Pereira CP Chung Roger Yat-Nork RY Wang Jing J

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<b>Background:</b> 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 iden ...[more]

PMID: 32839768

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Project description: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 , 2010 to December 4 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.

Project description:ObjectivesUp to 15% of the 1.4 million US nursing home (NH) residents receive antibiotics daily. Antibiotic use in NHs is often inappropriate, contributing to quality and safety concerns as well as antibiotic resistance. Information technology (IT) maturity-defined as the extent to which facilities possess and use diverse technological devices and software that are integrated across resident care, clinical support, and administrative activities-may improve the tracking and reporting of antibiotic use in NH residents. Thus, this research explores trends in IT maturity over time and associations with antibiotic use in US NHs.DesignRepeated cross-sectional study.Setting and participantsLong-term resident assessments from a random sample of Medicare-certified US NHs over 4 consecutive years (2013-2017).MethodsThree data sources were used: (1) 4 annual surveys measuring IT maturity, (2) Minimum Data Set (MDS) 3.0 assessments for resident characteristics, and (3) Certification and Survey Provider Enhanced Reporting data for facility characteristics. Nonadmission MDS assessments that were within a 90-day window of the IT survey were eligible. Descriptive statistics were examined. Bivariate and multivariate regressions using NH fixed effects were conducted controlling for resident and NH characteristics.ResultsThere were 219,461 MDS assessments from 80,237 long-stay residents aged ≥65 years, living in 817 NHs. Trends in IT maturity increased significantly over 4 years. IT integration in administrative processes was positively associated with antibiotic use (AOR 1.072, 95% CI 1.025, 1.122).Conclusions and implicationsIT components that integrate administrative activities, which can provide greater access to data sources across the organization as a whole, was associated with changes in antibiotic use. Further evaluation is needed to determine if antibiotic use is more appropriate with higher maturity such that policy makers can encourage IT with these capabilities to promote antibiotic stewardship.

Project description:ImportancePrognostication in advanced dementia is challenging but may influence care.ObjectivesTo determine the accuracy of proxies' prognostic estimates for nursing home residents with advanced dementia, identify factors associated with those estimates, and examine the association between their estimates and use of burdensome interventions.Design, setting, and participantsData were combined from 2 studies that prospectively followed 764 residents with advanced dementia and their proxies in Boston-area nursing homes for 12 months: (1) the Study of Pathogen Resistance and Exposure to Antimicrobials in Dementia, conducted from September 2009 to November 2012 (362 resident/proxy dyads; 35 facilities); and (2) the Educational Video to Improve nursing home Care in End-Stage Dementia, conducted from March 2013 to July 2017 (402 resident/proxy dyads; 62 facilities). Proxies were the residents' formally or informally designated medical decision makers.Main outcomes and measuresDuring quarterly telephone interviews, proxies stated whether they believed the resident would live less than 1 month, 1 to 6 months, 7 to 12 months, or more than 12 months. Prognostic estimates were compared with resident survival. Resident and proxy characteristics associated with proxy prognostic estimates were determined. The association between prognostic estimates and whether residents experienced any of the following was determined: hospital transfers, parenteral therapy, tube feeding, venipunctures, and bladder catheterizations.ResultsThe residents' mean (SD) age was 86.6 (7.3) years; 631 (82.6%) were women and 133 (17.4%) were men. Of the 764 residents, 310 (40.6%) died later than 12 months. Proxies estimated survival with moderate accuracy (C statistic, 0.67). When proxies perceived the resident would die within 6 months, they were more likely to report being asked (183 [7.2%] of 2526) vs not being asked (126 [5.0%] of 2526) about goals of care by nursing home clinicians (adjusted odds ratio [AOR], 1.94; 95% CI, 1.50-2.52). Residents were less likely to experience burdensome interventions when the proxy prognostic estimate was less than 6 months (89 [4.4%] of 2031) vs greater than 6 months (1008 [49.6%] of 2031) (AOR, 0.46; 95% CI, 0.34-0.62).Conclusions and relevanceProxies estimated the prognosis of nursing home residents with advanced dementia with moderate accuracy. Having been asked about their opinion about the goal of care was associated with the proxies' perception that the resident had less than 6 months to live and that perception was associated with a lower likelihood the resident experienced burdensome interventions.

Dataset Information

Technology-Based Interventions for Nursing Home Residents: Implications for Nursing Home Practice Amid and Beyond the Influence of COVID-19: A Systematic Review Protocol.

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Technology-Based Interventions for Nursing Home Residents: Implications for Nursing Home Practice Amid and Beyond the Influence of COVID-19: A Systematic Review Protocol.

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