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Dunbar P, Keyes LM, Browne JP. Determinants of regulatory compliance in health and social care services: A systematic review using the Consolidated Framework for Implementation Research. PLoS One 2023; 18:e0278007. [PMID: 37053186 PMCID: PMC10101495 DOI: 10.1371/journal.pone.0278007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/13/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND The delivery of high quality care is a fundamental goal for health systems worldwide. One policy tool to ensure quality is the regulation of services by an independent public authority. This systematic review seeks to identify determinants of compliance with such regulation in health and social care services. METHODS Searches were carried out on five electronic databases and grey literature sources. Quantitative, qualitative and mixed methods studies were eligible for inclusion. Titles and abstracts were screened by two reviewers independently. Determinants were identified from the included studies, extracted and allocated to constructs in the Consolidated Framework for Implementation Research (CFIR). The quality of included studies was appraised by two reviewers independently. The results were synthesised in a narrative review using the constructs of the CFIR as grouping themes. RESULTS The search yielded 7,500 articles for screening, of which 157 were included. Most studies were quantitative designs in nursing home settings and were conducted in the United States. Determinants were largely structural in nature and allocated most frequently to the inner and outer setting domains of the CFIR. The following structural characteristics and compliance were found to be positively associated: smaller facilities (measured by bed capacity); higher nurse-staffing levels; and lower staff turnover. A facility's geographic location and compliance was also associated. It was difficult to make findings in respect of process determinants as qualitative studies were sparse, limiting investigation of the processes underlying regulatory compliance. CONCLUSION The literature in this field has focused to date on structural attributes of compliant providers, perhaps because these are easier to measure, and has neglected more complex processes around the implementation of regulatory standards. A number of gaps, particularly in terms of qualitative work, are evident in the literature and further research in this area is needed to provide a clearer picture.
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Affiliation(s)
- Paul Dunbar
- Health Information and Quality Authority, Mahon, Cork, Ireland
| | - Laura M Keyes
- Health Information and Quality Authority, Mahon, Cork, Ireland
| | - John P Browne
- School of Public Health, University College Cork, Cork, Ireland
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Armijo-Olivo S, Craig R, Corabian P, Guo B, Souri S, Tjosvold L. Nursing Staff Time and Care Quality in Long-Term Care Facilities: A Systematic Review. THE GERONTOLOGIST 2020; 60:e200-e217. [PMID: 31115444 DOI: 10.1093/geront/gnz053] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND AND OBJECTIVES In long-term care (LTC) facilities, nursing staff are important contributors to resident care and well-being. Despite this, the relationships between nursing staff coverage, care hours, and quality of resident care in LTC facilities are not well understood and have implications for policy-makers. This systematic review summarizes current evidence on the relationship between nursing staff coverage, care hours, and quality of resident care in LTC facilities. RESEARCH DESIGN AND METHODS A structured literature search was conducted using four bibliographic databases and gray literature sources. Abstracts were screened by two independent reviewers using Covidence software. Data from the included studies were summarized using a pretested extraction form. The studies were critically appraised, and their results were synthesized narratively. RESULTS The systematic searched yielded 15,842 citations, of which 54 studies (all observational) were included for synthesis. Most studies (n = 53, 98%) investigated the effect of nursing staff time on resident care. Eleven studies addressed minimum care hours and quality of care. One study examined the association between different nursing staff coverage models and resident outcomes. Overall, the quality of the included studies was poor. DISCUSSION AND IMPLICATIONS Because the evidence was inconsistent and of low quality, there is uncertainty about the direction and magnitude of the association between nursing staff time and type of coverage on quality of care. More rigorously designed studies are needed to test the effects of different cutoffs of care hours and different nursing coverage models on the quality of resident care in LTC facilities.
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Affiliation(s)
- Susan Armijo-Olivo
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada.,Faculty of Rehabilitation Medicine, Department of Physical Therapy/Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Rodger Craig
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada
| | - Paula Corabian
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada
| | - Bing Guo
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada
| | - Sepideh Souri
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada
| | - Lisa Tjosvold
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada.,John W. Scott Health Sciences Library, University of Alberta, Edmonton, Canada
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Lin H. Revisiting the relationship between nurse staffing and quality of care in nursing homes: an instrumental variables approach. JOURNAL OF HEALTH ECONOMICS 2014; 37:13-24. [PMID: 24887707 DOI: 10.1016/j.jhealeco.2014.04.007] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2013] [Revised: 04/10/2014] [Accepted: 04/18/2014] [Indexed: 06/03/2023]
Abstract
This paper revisits the relationship between nurse staffing and quality of care in nursing homes using an instrumental variables approach. Most prior studies rely on cross-sectional evidence, which renders causal inference problematic and policy recommendations inappropriate. We exploit legislation changes regarding minimum staffing requirements in eight states between 2000 and 2001 as exogenous shocks to nurse staffing levels. We find that registered nurse staffing has a large and significant impact on quality of care, and that there is no evidence of a significant association between nurse aide staffing and quality of care. A comparison of the IV estimation to the OLS estimation of the first-difference model suggests that ignoring endogeneity would lead to an underestimation of how nurse staffing affects quality of care in nursing homes.
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Affiliation(s)
- Haizhen Lin
- Department of Business Economics and Public Policy, Kelley School of Business, Indiana University, 1309 East Tenth Street, Bloomington, IN 47405, USA.
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Shin JH, Bae SH. Nurse Staffing, Quality of Care, and Quality of Life in U.S. Nursing Homes, 1996–2011: An Integrative Review. J Gerontol Nurs 2012; 38:46-53. [DOI: 10.3928/00989134-20121106-04] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Hyer K, Thomas KS, Branch LG, Harman JS, Johnson CE, Weech-Maldonado R. The influence of nurse staffing levels on quality of care in nursing homes. THE GERONTOLOGIST 2011; 51:610-6. [PMID: 21602292 DOI: 10.1093/geront/gnr050] [Citation(s) in RCA: 90] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE This study examines the relationship between increasing certified nursing assistants (CNAs) and licensed nurse staffing ratios and deficiencies in Florida nursing homes over a 4-year period. METHODS Data from Florida staffing reports and the Online Survey Certification and Reporting database examine the relationship among staffing levels and deficiency citations for 663 Florida nursing homes between 2002 and 2005. Using a generalized estimating equation approach in SAS Proc Genmod, we estimate the relationship between CNA and licensed nursing staff, and facilities' total deficiency score and quality of care deficiency scores-calculated using the Centers for Medicare and Medicaid Services' Nursing Home Compare Five-Star Quality Rating System, which accounts for the complexity of the scope and severity of the cittions. RESULTS Our results confirmed that higher CNA staffing levels were predictors of lower total deficiency scores and quality of care deficiency scores after controlling for facility characteristics. CONCLUSION With a large sample size, repeated measure design, and advanced methods, we have found a relationship between CNA staffing and nursing home quality.
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Affiliation(s)
- Kathryn Hyer
- Florida Policy Exchange Center on Aging, School of Aging Studies, University of South Florida, Tampa, FL 33620, USA.
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Grabowski DC, Aschbrenner KA, Rome VF, Bartels SJ. Quality of mental health care for nursing home residents: a literature review. Med Care Res Rev 2010; 67:627-56. [PMID: 20223943 PMCID: PMC2981653 DOI: 10.1177/1077558710362538] [Citation(s) in RCA: 92] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Because of the high proportion of nursing home residents with a mental illness other than dementia, the quality of mental health care in nursing homes is a major clinical and policy issue. The authors apply Donabedian's framework for assessing quality of care based on the triad of structure, process, and outcome-based measures in reviewing the literature on the quality of mental health care in nursing homes. Quality measures used within the literature include mental health consultations and hospitalizations, inappropriate use of medications, and mental health survey deficiencies. Factors related to the resident's welfare (nurse staffing), provider norms (locality), and financial factors (payer mix) were associated with the quality of mental health care. Although future research is necessary, the extant literature suggests that persons with mental illness are frequently admitted to nursing homes and their care is often of poor quality and related to a series of resident and facility factors.
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Affiliation(s)
- David C Grabowski
- Department of Health Care Policy, Harvard Medical School, Boston, MA 02115-5899, USA.
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Collier E, Harrington C. Staffing characteristics, turnover rates, and quality of resident care in nursing facilities. Res Gerontol Nurs 2010; 1:157-70. [PMID: 20077960 DOI: 10.3928/19404921-20080701-02] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Despite substantial spending and considerable regulatory oversight, the quality of care provided to residents in the nation's nursing facilities is inadequate, and strategies to address this problem are needed. Staffing characteristics are important predictors of quality in nursing facilities, and the relationship between staffing and various quality measures fluctuates across studies and in analyses that account for the effects of market, resident, and organizational characteristics. However and even with such variations, it is has generally been concluded that higher staffing levels, less turnover, and higher retention rates are associated with an array of improved resident and facility outcomes. This article synthesizes literature, including published reports, expert opinion, and peer reviewed studies, on staffing levels, turnover, and quality of care in nursing homes. The findings were used to develop three staffing interventions that need to be further evaluated in an effort to improve the quality of care in nursing facilities.
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Affiliation(s)
- Eric Collier
- Department of Social and Behavioral Sciences, School of Nursing, University of California-San Francisco, 3333 California Street, San Francisco, CA 94118, USA.
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Fullerton CA, McGuire TG, Feng Z, Mor V, Grabowski DC. Trends in mental health admissions to nursing homes, 1999-2005. PSYCHIATRIC SERVICES (WASHINGTON, D.C.) 2009. [PMID: 19564228 DOI: 10.1176/appi.ps.60.7.965] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The study examined 1999-2005 data on first-time nursing home admissions of individuals with mental illness, dementia, or both to identify trends and characteristics. METHODS The Minimum Data Set was used to estimate the number and percentage of persons newly admitted to nursing homes who had mental illness (schizophrenia, bipolar disorder, depression, or an anxiety disorder), dementia, or both from 1999 to 2005. Data from 2005 were used to compare demographic characteristics and comorbid conditions of the three groups and treatments received. RESULTS The number of individuals admitted with mental illness increased from 168,721 in 1999 to 187,478 in 2005. The 2005 number is more than 50% higher than the number admitted with dementia only (118,290 in 2005). The increase was driven by growth in admissions of persons with depression--from 128,566 to 154,262 in 2005. Persons admitted with depression had higher rates of comorbid conditions than those admitted with dementia or with neither dementia nor mental illness. They also had high rates of antidepressant treatment and high rates of receipt of training in skills required to return to the community. CONCLUSIONS Current trends show that the proportion of nursing home admissions with mental illness, in particular depression, has overtaken the proportion with dementia. These changes may be related to increased recognition of depression, availability of alternatives to nursing homes for persons with dementia, and increased specialization among nursing homes in the care of postacute, rehabilitation residents. In light of these trends, it is critical to ensure that nursing homes have resources to adequately treat residents with mental illness to facilitate community reintegration.
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Affiliation(s)
- Catherine Anne Fullerton
- Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave., Boston, MA 02115, USA.
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Simons K, Bonifas R. Social work student interest in nursing home employment: a North American study. JOURNAL OF GERONTOLOGICAL SOCIAL WORK 2009; 52:294-314. [PMID: 19308833 DOI: 10.1080/01634370802609312] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Nursing homes (NHs) are a primary setting for gerontological social work; yet, little is known about social workers' career interest relative to this setting. This article reports the findings of an online survey of social work students (177 U.S. and 91 Canadian) that sought to identify personal characteristics and beliefs that influence NH employment intentions. Students who were enrolled in bachelors programs, lacked previous practice experience, and had already had a NH field placement or wanted this experience were more likely to express employment intent. The implications of these findings for social work education and research are discussed.
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Affiliation(s)
- Kelsey Simons
- Baycrest, Kunin-Lunenfeld Applied Research Unit, Factor-Inwentash Faculty of Social Work, University of Toronto, Toronto, Ontario, Canada.
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Collier E, Harrington C. Staffing Characteristics, Turnover Rates, and Quality of Resident Care in Nursing Facilities. Res Gerontol Nurs 2008. [DOI: 10.3928/00220124-20091301-03] [Citation(s) in RCA: 67] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Abstract
In this research, the author reviewed 70 studies that had examined the relationship between staffing levels and quality in nursing homes (covering the years 1991 to 2006). The results of the review including all of this literature show that approximately 40% of the quality indicators examined show an association with nursing home staffing levels. Nevertheless, this finding is further interpreted in the context of the limitations of many of these prior studies. The author discusses the limitations of poor quality staffing data, small sample size, quality indicators used, methodological concerns, and underspecified models inherent to many prior studies. The author finds no study representing a “gold standard” exists in this area. Still, the few studies that seem methodologically most robust would seem to indicate that an association between nursing home staffing levels and quality exists. However, the author concludes that studies in this area need to be further enhanced.
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