Identifying the Implementation Conditions Associated With Positive Outcomes in a Successful Nursing Facility Demonstration Project
- PMID: 32440672
- PMCID: PMC7731870
- DOI: 10.1093/geront/gnaa041
Identifying the Implementation Conditions Associated With Positive Outcomes in a Successful Nursing Facility Demonstration Project
Abstract
Background and objectives: To identify the implementation barriers, facilitators, and conditions associated with successful outcomes from a clinical demonstration project to reduce potentially avoidable hospitalizations of long-stay nursing facility residents in 19 Indiana nursing homes.
Research design and methods: Optimizing Patient Transfers, Impacting Medical quality, Improving Symptoms-Transforming Institutional Care (OPTIMISTIC) is a multicomponent intervention that includes enhanced geriatric care, transition support, and palliative care. The configurational analysis was used to analyze descriptive and quantitative data collected during the project. The primary outcome was reductions in hospitalizations per 1,000 eligible resident days.
Results: Analysis of barriers, facilitators, and conditions for success yielded a model with 2 solution pathways associated with a 10% reduction in potentially avoidable hospitalizations per 1,000 resident days: (a) lower baseline hospitalization rates and investment of senior management; or (b) turnover by the director of nursing during the observation period. Conditions for success were similar for a 20% reduction, with the addition of increased resident acuity.
Discussion and implications: Key conditions for successful implementation of the OPTIMISTIC intervention include strong investment by senior leadership and an environment in which baseline hospitalization rates leave ample room for improvement. Turnover in the position of director of nursing also linked to successful implementation; this switch in leadership may represent an opportunity for culture change by bringing in new perspectives and viewpoints. These findings help define the conditions for the successful implementation of the OPTIMISTIC model and have implications for the successful implementation of interventions in the nursing facility more generally.
Keywords: Configurational analysis; Nursing home; Potentially avoidable hospitalizations; Quality; Transfers.
© The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Figures


Similar articles
-
Systematic Advance Care Planning and Potentially Avoidable Hospitalizations of Nursing Facility Residents.J Am Geriatr Soc. 2019 Aug;67(8):1649-1655. doi: 10.1111/jgs.15927. Epub 2019 Apr 23. J Am Geriatr Soc. 2019. PMID: 31012971
-
The Optimizing Patient Transfers, Impacting Medical Quality, andImproving Symptoms:Transforming Institutional Care approach: preliminary data from the implementation of a Centers for Medicare and Medicaid Services nursing facility demonstration project.J Am Geriatr Soc. 2015 Jan;63(1):165-9. doi: 10.1111/jgs.13141. Epub 2014 Dec 23. J Am Geriatr Soc. 2015. PMID: 25537789
-
Stakeholder Perspectives on the Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) Project.Gerontologist. 2018 Nov 3;58(6):1177-1187. doi: 10.1093/geront/gnx155. Gerontologist. 2018. PMID: 29045609
-
The Interventions to Reduce Acute Care Transfers (INTERACT) quality improvement program: an overview for medical directors and primary care clinicians in long term care.J Am Med Dir Assoc. 2014 Mar;15(3):162-170. doi: 10.1016/j.jamda.2013.12.005. J Am Med Dir Assoc. 2014. PMID: 24513226 Free PMC article. Review.
-
Should I hospitalize my resident with nursing home-acquired pneumonia?J Am Med Dir Assoc. 2005 Sep-Oct;6(5):327-33. doi: 10.1016/j.jamda.2005.06.005. J Am Med Dir Assoc. 2005. PMID: 16165074 Review.
Cited by
-
Modeling Contingency in Veteran Community Reintegration: A Mixed Methods Approach.J Mix Methods Res. 2023 Jan;17(1):70-92. doi: 10.1177/15586898211059616. Epub 2022 Feb 24. J Mix Methods Res. 2023. PMID: 36523449 Free PMC article.
-
Coincidence analysis: a new method for causal inference in implementation science.Implement Sci. 2020 Dec 11;15(1):108. doi: 10.1186/s13012-020-01070-3. Implement Sci. 2020. PMID: 33308250 Free PMC article.
-
Nurses Training and Capacitation for Palliative Care in Emergency Units: A Systematic Review.Medicina (Kaunas). 2020 Nov 26;56(12):648. doi: 10.3390/medicina56120648. Medicina (Kaunas). 2020. PMID: 33256039 Free PMC article.
-
Determinants of inter-organizational implementation success: A mixed-methods evaluation of Veteran Directed Care.Healthc (Amst). 2022 Dec;10(4):100653. doi: 10.1016/j.hjdsi.2022.100653. Epub 2022 Sep 12. Healthc (Amst). 2022. PMID: 36108526 Free PMC article.
-
How education and racial segregation intersect in neighborhoods with persistently low COVID-19 vaccination rates in Philadelphia.BMC Public Health. 2022 May 25;22(1):1044. doi: 10.1186/s12889-022-13414-3. BMC Public Health. 2022. PMID: 35614426 Free PMC article.
References
-
- Ambühl M., & Baumgartner M. (2019). cna: causal modeling with coincidence analysis R package version 2.2.2. Retrieved from https://CRAN.R-project.org/package=cna
-
- Baumgartner M. (2008). Regularity theories reassessed. Philosophia, 36, 327–354. doi:10.1007/s11406-007-9114-4 - DOI
-
- Baumgartner M., & Epple R (2014). A coincidence analysis of a causal chain: The Swiss minaret vote. Sociological Methods & Research, 43, 280–312. doi:10.1177/0049124113502948 - DOI
-
- Baumgartner M., & Thiem A (2015). Identifying complex causal dependencies in configurational data with coincidence analysis. R Journal, 7, 176–184. doi:10.32614/RJ-2015-014 - DOI
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical