Determinants of regulatory compliance in health and social care services: a systematic review protocol [version 3; peer review: 2 approved]
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SUBMITTER: Dunbar P
PROVIDER: S-EPMC8258703 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description: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.
| S-EPMC10101495 | biostudies-literature
Project description:IntroductionInfectious disease models are important tools to inform public health policy decisions. These models are primarily based on an average population approach and often ignore the role of social determinants in predicting the course of a pandemic and the impact of policy interventions. Ignoring social determinants in models may cause or exacerbate inequalities. This limitation has not been previously explored in the context of the current pandemic, where COVID-19 has been found to disproportionately affect marginalised racial, ethnic and socioeconomic groups. Therefore, our primary goal is to identify the extent to which COVID-19 models incorporate the social determinants of health in predicting outcomes of the pandemic.Methods and analysisWe will search MEDLINE, EMBASE, Cochrane Library and Web of Science databases from December 2019 to August 2020. We will assess all infectious disease modelling studies for inclusion of social factors that meet the following criteria: (a) focused on human spread of SARS-CoV-2; (b) modelling studies; (c) interventional or non-interventional studies; and (d) focused on one of the following outcomes: COVID-19-related outcomes (eg, cases, deaths), non-COVID-19-related outcomes (ie, impacts of the pandemic or control policies on other health conditions or health services), or impact of the pandemic or control policies on economic outcomes. Data will only be extracted from models incorporating social factors. We will report the percentage of models that considered social factors, indicate which social factors were considered, and describe how social factors were incorporated into the conceptualisation and implementation of the infectious disease models. The extracted data will also be used to create a narrative synthesis of the results.Ethics and disseminationEthics approval is not required as only secondary data will be collected. The results of this systematic review will be disseminated through peer-reviewed publication and conference proceedings.Prospero registration numberCRD42020207706.
| S-EPMC8260285 | biostudies-literature
Project description:BackgroundMental health is an integral part of health and well-being and yet health systems have not adequately responded to the burden of mental disorders. Integrating mental health services into primary health care (PHC) is the most viable way of closing the treatment gap and ensuring that people get the mental health care they need. PHC was formally adapted by the World Health Organization (WHO), and they have since invested enormous amounts of resources across the globe to ensure that integration of mental health services into PHC works.MethodsThis review will use the SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, Research type) framework approach to identify experiences of mental health integration into PHC; the findings will be reported using the "Best fit" framework synthesis. PubMed, EMBASE, PsycINFO, and Cochrane Central Register of Controlled trials (CENTRAL) will be searched including other sources like the WHO website and OpenGrey database. Assessment of bias and quality will be done at study level using two separate tools to check for the quality of evidence presented. Data synthesis will take on two synergistic approaches (qualitative and quantitative studies). Synthesizing evidence from countries across the globe will provide useful insights into the experiences of integrating mental health services into PHC and how the barriers and challenges have been handled. The findings will be useful to a wide array of stakeholders involved in the implementation of the mental health integration into PHC.DiscussionThe SPIDER framework has been chosen for this review because of its suitable application to qualitative and mixed methods research and will be used as a guide when selecting articles for inclusion. Data extracted will be synthesized using the "Best fit" framework because it has been used before and proved its suitability in producing new conceptual models for explaining decision-making and possible behaviors. Synthesizing evidence from countries across the globe will provide useful insights into the experiences of integrating mental health services into PHC and how the barriers and challenges have been handled.Systematic review registrationPROSPERO CRD42016052000.
| S-EPMC6389192 | biostudies-literature
Project description:Screening children for social determinants of health (SDOHs) has gained attention in recent years, but there is a deficit in understanding the present state of the science. To systematically review SDOH screening tools used with children, examine their psychometric properties, and evaluate how they detect early indicators of risk and inform care. Comprehensive electronic search of PubMed, Cumulative Index to Nursing and Allied Health Literature, Embase, Cochrane Central Register of Controlled Trials, and Web of Science Core Collection. Studies in which a tool that screened children for multiple SDOHs (defined according to Healthy People 2020) was developed, tested, and/or employed. Extraction domains included study characteristics, screening tool characteristics, SDOHs screened, and follow-up procedures. The search returned 6274 studies. We retained 17 studies encompassing 11 screeners. Study samples were diverse with respect to biological sex and race and/or ethnicity. Screening was primarily conducted in clinical settings with a parent or caregiver being the primary informant for all screeners. Psychometric properties were assessed for only 3 screeners. The most common SDOH domains screened included the family context and economic stability. Authors of the majority of studies described referrals and/or interventions that followed screening to address identified SDOHs. Following the Healthy People 2020 SDOH definition may have excluded articles that other definitions would have captured. The extent to which SDOH screening accurately assessed a child's SDOHs was largely unevaluated. Authors of future research should also evaluate if referrals and interventions after the screening effectively address SDOHs and improve child well-being.
| S-EPMC6996928 | biostudies-literature
Project description:BackgroundImproving the delivery, uptake, and implementation of cancer screening to meet evidence-based recommendations is needed to reduce persistent cancer health disparities in the USA. Current national public health targets emphasize the role of social determinants of health (SDOH) on cancer screening. However, there remains a need to explicate these linkages, toward the goal of identifying and implementing effective interventions that target and address SDOH to reduce inequities in cancer screening.MethodsWe will conduct a systematic review of English language peer-reviewed original research articles published between 2010 and 2021 that describe observational (qualitative and quantitative) and intervention studies conducted in the USA. In alignment with Healthy People 2030, we will include studies of breast, cervical, colorectal, and/or lung cancer screening. Guided by multiple SDOH frameworks, we will broadly define SDOH by five domain areas: economic stability, education access and quality, healthcare access and quality, neighborhood and built environment, and social and community context. Following systematic literature searches in five databases (Ovid MEDLINE, Embase, CINAHL, Web of Science, Cochrane Library) and piloting of screening procedures, reviewers will independently screen titles/abstracts for potential relevance. Reviewer pairs will then screen full text articles for eligibility criteria. We will extract data items from included articles, including study characteristics, cancer screening intervention information, and coding of SDOH constructs. We will assess study quality using the Mixed Methods Appraisal Tool and synthesize our findings using narrative, descriptive statistics, tables, and figures. Our approach will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) recommendations.DiscussionBy completing this systematic review, we will summarize recent literature on SDOH and cancer screening, identify research gaps for inclusion of SDOH, and propose future opportunities for advancing equity in cancer screening by integrating SDOH as part of the implementation context to promote uptake, sustainability, and scale-up in the implementation of screening guidelines.Systematic review registrationPROSPERO CRD42021276582 .
| S-EPMC9175338 | biostudies-literature
Project description:BackgroundAs people are living longer with higher incidences of long-term health conditions, there is a move towards greater integration of care, including integration of health and social care services. Integrated care needs to be comprehensively and systematically evaluated if it is to be implemented widely. We performed a systematic review of reviews to identify measures which have been used to assess integrated care across health and social care services for people living with long-term health conditions.MethodsFour electronic databases (PUBMED; MEDLINE; EMBASE; Cochrane library of systematic reviews) were searched in August 2018 for relevant reviews evaluating the integration of health and social care between 1998 and 2018. Articles were assessed according to apriori eligibility criteria. A data extraction form was utilised to collate the identified measures into five categories.ResultsOf the 18 articles included, system outcomes and process measures were most frequently identified (15 articles each). Patient or carer reported outcomes were identified in 13 articles while health outcomes were reported in 12 articles. Structural measures were reported in nine articles. Challenges to measuring integration included the identification of a wide range of potential impacts of integration, difficulties in comparing findings due to differences in study design and heterogeneity of types of outcomes, and a need for appropriate, robust measurement tools.ConclusionsOur review revealed no shortage of measures for assessing the structures, processes and outcomes of integrated care. The very large number of available measures and infrequent use of any common set make comparisons between schemes more difficult. The promotion of core measurement sets and stakeholder consultation would advance measurement in this area.
| S-EPMC7183623 | biostudies-literature
Project description:This systematic review synthesizes research published from January 2010-July 2022 on the social determinants of ideal cardiovascular health (CVH) carried out around the world and compares trends in high-income countries (HICs) to those in low- and middle-income countries (LMICs). 41 studies met inclusion criteria (n = 28 HICs, n = 13 LMICs). Most were from the United States (n = 22) and cross-sectional (n = 33), and nearly all evaluated associations among adults. Among studies conducted in LMICs, nearly all were from middle-income countries and only one was carried out in low-income country. Education (n = 24) and income/wealth (n = 17) were the most frequently examined social determinants in both HICs and LMICs. Although most studies assessed ideal CVH using reliable and valid methods (n = 24), only 7 used criteria pre-defined by the American Heart Association to characterize ideal levels of each CVH metric. Despite heterogeneity in how outcome measures were derived and analyzed, consistent associations were evident between multiple markers of higher social status (i.e. greater education, income/wealth, socioeconomic status, racial/ethnic majority status) and greater levels of ideal CVH across both country contexts. Gaps in the literature include evidence from LMICs and HICs other than the United States, longitudinal research, and investigations of a wider array of social determinants beyond education and income/wealth.
| S-EPMC9930100 | biostudies-literature
Project description:BackgroundFragmented delivery of health and social services can impact access to high-quality, person-centred care. The goal of system navigation is to reduce barriers to healthcare access and improve the quality of care. However, the effectiveness of system navigation remains largely unknown. This systematic review aims to identify the effectiveness of system navigation programs linking primary care with community-based health and social services to improve patient, caregiver, and health system outcomes.MethodsBuilding on a previous scoping review, PsychInfo, EMBASE, CINAHL, MEDLINE, and Cochrane Clinical Trials Registry were searched for intervention studies published between January 2013 and August 2020. Eligible studies included system navigation or social prescription programs for adults, based in primary care settings. Two independent reviewers completed study selection, critical appraisal, and data extraction.ResultsTwenty-one studies were included; studies had generally low to moderate risk of bias. System navigation models were lay person-led (n = 10), health professional-led (n = 4), team-based (n = 6), or self-navigation with lay support as needed (n = 1). Evidence from three studies (low risk of bias) suggests that team-based system navigation may result in slightly more appropriate health service utilization compared to baseline or usual care. Evidence from four studies (moderate risk of bias) suggests that either lay person-led or health professional-led system navigation models may improve patient experiences with quality of care compared to usual care. It is unclear whether system navigation models may improve patient-related outcomes (e.g., health-related quality of life, health behaviours). The evidence is very uncertain about the effect of system navigation programs on caregiver, cost-related, or social care outcomes.ConclusionsThere is variation in findings across system navigation models linking primary care with community-based health and social services. Team-based system navigation may result in slight improvements in health service utilization. Further research is needed to determine the effects on caregiver and cost-related outcomes.
| S-EPMC10165767 | biostudies-literature
Project description:ObjectiveTo explore how primary care organizations assess and subsequently act upon the social determinants of noncommunicable diseases in their local populations.MethodsFor this systematic review we searched the online databases of PubMed®, MEDLINE®, Embase® and the Health Management Information Consortium from inception to 28 June 2019, along with hand-searching of references. Studies of any design that examined a primary care organization assessing social determinants of noncommunicable diseases were included. For quality assessment we used Cochrane's tool for assessing risk of bias in non-randomized studies of interventions. We used narrative data synthesis to appraise the extent to which the assessments gathered data on the domains of the World Health Organization social determinants of health framework.FindingsWe identified 666 studies of which 17 were included in the review. All studies used descriptive study designs. Clinic-based and household surveys and interviews were more commonly used to assess local social determinants than population-level data. We found no examples of organizations that assessed sociopolitical drivers of noncommunicable diseases; all focused on sociodemographic factors or circumstances of daily living. Nevertheless, the resulting actions to address social determinants ranged from individual-level interventions to population-wide measures and introducing representation of primary care organizations on system-level policy and planning committees.ConclusionOur findings may help policy-makers to consider suitable approaches for assessing and addressing social determinants of health in their domestic context. More rigorous observational and experimental evidence is needed to ascertain whether measuring social determinants leads to interventions which mitigate unmet social needs and reduce health disparities.
| S-EPMC7607469 | biostudies-literature
Project description:BackgroundHospital investments in care coordination services and innovative delivery models represent an important source for improving care efficiency and population health.ObjectiveThe aim of this study was to explore variation of hospital-initiated care coordination services and participation in Accountable Care Organizations (ACOs) by community characteristics within an organizational theory framework.MethodsOur main data sets included the 2015 American Hospital Association Annual Survey, Survey of Care Systems and Payment, American Community Survey, and Area Health Resource File. Two main outcomes were (a) hospital-reported initiation of care coordination practices (such as chronic disease management, post-hospital discharge continuity of care, and predictive analytics) and (b) participation in ACO models. State fixed-effects models were used to test the association between the adoption of care coordination practices and hospital characteristics, community-level sociodemographic characteristics, and health policies.ResultsHospitals with large bed size, located in urban areas, and/or with high volume of operations were more likely to adopt care coordination practices and participate in the ACO models. Hospitals serving communities with high uninsurance rates and/or poverty rates were significantly less likely to provide care coordination practices. More stringent Community Benefit Laws (CBLs) were positively associated with the implementation of care coordination practices suggesting strong normative impacts of CBLs.ConclusionGreater hospital-initiated care coordination practices and innovative ACO models were available in well-resourced areas. Policymakers may consider increasing resources for care coordination practices in rural, underserved, and high-poverty-high-uninsured areas to ensure that vulnerable populations can benefit from these services.
| S-EPMC6536363 | biostudies-literature