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1.
Front Health Serv ; 3: 1282292, 2023.
Article in English | MEDLINE | ID: mdl-37936880

ABSTRACT

Background: Social risk screening rates in many US primary care settings remain low. This realist-informed evaluation explored the mechanisms through which a tailored coaching and technical training intervention impacted social risk screening uptake in 26 community clinics across the United States. Methods: Evaluation data sources included the documented content of interactions between the clinics and implementation support team and electronic health record (EHR) data. Following the realist approach, analysis was composed of iterative cycles of developing, testing and refining program theories about how the intervention did-or didn't-work, for whom, under what circumstances. Normalization Process Theory was applied to the realist program theories to enhance the explanatory power and transferability of the results. Results: Analysis identified three overarching realist program theories. First, clinic staff perceptions about the role of standardized social risk screening in person-centered care-considered "good" care and highly valued-strongly impacted receptivity to the intervention. Second, the physicality of the intervention materials facilitated collaboration and impacted clinic leaders' perception of the legitimacy of the social risk screening implementation work. Third, positive relationships between the implementation support team members, between the support team and clinic champions, and between clinic champions and staff motivated and inspired clinic staff to engage with the intervention and to tailor workflows to their settings' needs. Study clinics did not always exhibit the social risk screening patterns anticipated by the program theories due to discrepant definitions of success between clinic staff (improved ability to provide contextualized, person-centered care) and the trial (increased rates of EHR-documented social risk screening). Aligning the realist program theories with Normalization Process Theory constructs clarified that the intervention as implemented emphasized preparation over operationalization and appraisal, providing insight into why the intervention did not successfully embed sustained systematic social risk screening in participating clinics. Conclusion: The realist program theories highlighted the effectiveness and importance of intervention components and implementation strategies that support trusting relationships as mechanisms of change. This may be particularly important in social determinants of health work, which requires commitment and humility from health care providers and vulnerability on the part of patients.

2.
Implement Sci ; 15(1): 87, 2020 10 01.
Article in English | MEDLINE | ID: mdl-32998750

ABSTRACT

BACKGROUND: Though the knowledge base on implementation strategies is growing, much remains unknown about how to most effectively operationalize these strategies in diverse contexts. For example, while evidence shows that champions can effectively support implementation efforts in some circumstances, little has been reported on how to operationalize this role optimally in different settings, or on the specific pathways through which champions enact change. METHODS: This is a secondary analysis of data from a pragmatic trial comparing implementation strategies supporting the adoption of guideline-concordant cardioprotective prescribing in community health centers in the USA. Quantitative data came from the community health centers' shared electronic health record; qualitative data sources included community health center staff interviews over 3 years. Using a convergent mixed-methods design, data were collected concurrently and merged for interpretation to identify factors associated with improved outcomes. Qualitative analysis was guided by the constant comparative method. As results from the quantitative and initial qualitative analyses indicated the essential role that champions played in promoting guideline-concordant prescribing, we conducted multiple immersion-crystallization cycles to better understand this finding. RESULTS: Five community health centers demonstrated statistically significant increases in guideline-concordant cardioprotective prescribing. A combination of factors appeared key to their successful practice change: (1) A clinician champion who demonstrated a sustained commitment to implementation activities and exhibited engagement, influence, credibility, and capacity; and (2) organizational support for the intervention. In contrast, the seven community health centers that did not show improved outcomes lacked a champion with the necessary characteristics, and/or organizational support. Case studies illustrate the diverse, context-specific pathways that enabled or prevented study implementers from advancing practice change. CONCLUSION: This analysis confirms the important role of champions in implementation efforts and offers insight into the context-specific mechanisms through which champions enact practice change. The results also highlight the potential impact of misaligned implementation support and key modifiable barriers and facilitators on implementation outcomes. Here, unexamined assumptions and a lack of evidence-based guidance on how best to identify and prepare effective champions led to implementation support that failed to address important barriers to intervention success. TRIAL REGISTRATION: ClinicalTrials.gov , NCT02325531 . Registered 15 December 2014.


Subject(s)
Community Health Centers , Research Design , Electronic Health Records , Humans
3.
Am J Prev Med ; 57(6 Suppl 1): S65-S73, 2019 12.
Article in English | MEDLINE | ID: mdl-31753281

ABSTRACT

INTRODUCTION: This paper describes the adoption of an electronic health record-based social determinants of health screening tool in a national network of more than 100 community health centers. METHODS: In 2016, a screening tool with questions on 7 social determinants of health domains was developed and deployed in the electronic health record, with technical instructions on how to use the tool and suggested clinical workflows. To understand adoption patterns, the study team extracted electronic health record data for any patient with a community health center visit between June 2016 and May 2018. Patients were considered "screened" if a response to at least 1 social determinants of health domain was documented in the electronic health record tool. RESULTS: A total of 31,549 patients (2% of those with a visit in the study period) had a documented social determinants of health screening. The number of screenings increased over time, time; 71 community health centers (67%) conducted at least one screening, but almost 50% took place in only 4 community health centers. Over half (55%) of screenings only included responses for only 1 domain. Screening was most likely to occur during an office visit with an established patient and documented in the electronic health record by a medical assistant. CONCLUSIONS: Screening documentation patterns varied widely across the network of community health centers. Despite the growing national emphasis on the importance of screening for social determinants of health, these findings suggest that simply activating electronic health record tools for social determinants of health screening does not lead to widespread adoption. Potential barriers to screening adoption and implementation should be explored further. SUPPLEMENT INFORMATION: This article is part of a supplement entitled Identifying and Intervening on Social Needs in Clinical Settings: Evidence and Evidence Gaps, which is sponsored by the Agency for Healthcare Research and Quality of the U.S. Department of Health and Human Services, Kaiser Permanente, and the Robert Wood Johnson Foundation.


Subject(s)
Documentation/standards , Electronic Health Records/standards , Mass Screening , Social Determinants of Health , Adolescent , Adult , Aged , Child , Child, Preschool , Community Health Centers , Female , Humans , Infant , Infant, Newborn , Male , Mass Screening/standards , Mass Screening/statistics & numerical data , Middle Aged , United States , Young Adult
4.
J Ambul Care Manage ; 41(1): 2-14, 2018.
Article in English | MEDLINE | ID: mdl-28990990

ABSTRACT

Little is known about how health care organizations are developing tools for identifying/addressing patients' social determinants of health (SDH). We describe the processes recently used by 6 organizations to develop SDH screening tools for ambulatory care and the barriers they faced during those efforts. Common processes included reviewing literature and consulting primary care staff. The organizations prioritized avoiding redundant data collection, integrating SDH screening into existing workflows, and addressing diverse clinic needs. This article provides suggestions for others hoping to develop similar tools/strategies for identifying patients' SDH needs in ambulatory care settings, with recommendations for further research.


Subject(s)
Ambulatory Care , Mass Screening/methods , Primary Health Care , Process Assessment, Health Care , Social Determinants of Health , Health Services Research , Humans , Interviews as Topic , Organizational Objectives , Planning Techniques , United States
5.
J Ambul Care Manage ; 40(1): 26-35, 2017.
Article in English | MEDLINE | ID: mdl-27902550

ABSTRACT

Electronic health record (EHR) data can be extracted for calculating performance feedback, but users' perceptions of such feedback impact its effectiveness. Through qualitative analyses, we identified perspectives on barriers and facilitators to the perceived legitimacy of EHR-based performance feedback, in 11 community health centers (CHCs). Providers said such measures rarely accounted for CHC patients' complex lives or for providers' decisions as informed by this complexity, which diminished the measures' perceived validity. Suggestions for improving the perceived validity of performance feedback in CHCs are presented. Our findings add to the literature on EHR-based performance feedback by exploring provider perceptions in CHCs.


Subject(s)
Attitude of Health Personnel , Cardiovascular Diseases/prevention & control , Community Health Centers/standards , Diabetes Complications/prevention & control , Electronic Health Records/standards , Evidence-Based Practice/standards , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Patient Satisfaction , Safety-net Providers/standards , Cardiovascular Diseases/drug therapy , Cardiovascular Diseases/etiology , Community Health Centers/organization & administration , Electronic Health Records/organization & administration , Electronic Health Records/statistics & numerical data , Evidence-Based Practice/methods , Evidence-Based Practice/statistics & numerical data , Feedback , Guideline Adherence/statistics & numerical data , Humans , Qualitative Research , Safety-net Providers/organization & administration , Workforce
6.
Mayo Clin Proc ; 91(8): 1074-83, 2016 Aug.
Article in English | MEDLINE | ID: mdl-27113199

ABSTRACT

UNLABELLED: The objective of this study was to empirically demonstrate the use of a new framework for describing the strategies used to implement quality improvement interventions and provide an example that others may follow. Implementation strategies are the specific approaches, methods, structures, and resources used to introduce and encourage uptake of a given intervention's components. Such strategies have not been regularly reported in descriptions of interventions' effectiveness, or in assessments of how proven interventions are implemented in new settings. This lack of reporting may hinder efforts to successfully translate effective interventions into "real-world" practice. A recently published framework was designed to standardize reporting on implementation strategies in the implementation science literature. We applied this framework to describe the strategies used to implement a single intervention in its original commercial care setting, and when implemented in community health centers from September 2010 through May 2015. Per this framework, the target (clinic staff) and outcome (prescribing rates) remained the same across settings; the actor, action, temporality, and dose were adapted to fit local context. The framework proved helpful in articulating which of the implementation strategies were kept constant and which were tailored to fit diverse settings, and simplified our reporting of their effects. Researchers should consider consistently reporting this information, which could be crucial to the success or failure of implementing proven interventions effectively across diverse care settings. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT02299791.


Subject(s)
Cardiotonic Agents/administration & dosage , Cardiovascular Diseases/prevention & control , Diabetes Complications/prevention & control , Quality Improvement/organization & administration , Angiotensin-Converting Enzyme Inhibitors/administration & dosage , Angiotensin-Converting Enzyme Inhibitors/standards , Aspirin/administration & dosage , Aspirin/standards , Cardiotonic Agents/standards , Cardiovascular Diseases/drug therapy , Cardiovascular Diseases/etiology , Diabetes Complications/drug therapy , Guideline Adherence/statistics & numerical data , Health Maintenance Organizations/organization & administration , Health Maintenance Organizations/standards , Health Plan Implementation/methods , Health Plan Implementation/organization & administration , Health Plan Implementation/standards , Humans , Hydroxymethylglutaryl-CoA Reductase Inhibitors/administration & dosage , Hydroxymethylglutaryl-CoA Reductase Inhibitors/standards , Practice Guidelines as Topic , Quality Improvement/standards
7.
BMC Health Serv Res ; 14: 607, 2014 Dec 05.
Article in English | MEDLINE | ID: mdl-25475025

ABSTRACT

BACKGROUND: The recent growth of implementation research in care delivery systems has led to a renewed interest in methodological approaches that deliver not only intervention outcome data but also deep understanding of the complex dynamics underlying the implementation process. We suggest that an ethnographic approach to process evaluation, when informed by and integrated with quantitative data, can provide this nuanced insight into intervention outcomes. The specific methods used in such ethnographic process evaluations are rarely presented in detail; our objective is to stimulate a conversation around the successes and challenges of specific data collection methods in health care settings. We use the example of a translational clinical trial among 11 community clinics in Portland, OR that are implementing an evidence-based, health-information technology (HIT)-based intervention focused on patients with diabetes. DISCUSSION: Our ethnographic process evaluation employed weekly diaries by clinic-based study employees, observation, informal and formal interviews, document review, surveys, and group discussions to identify barriers and facilitators to implementation success, provide insight into the quantitative study outcomes, and uncover lessons potentially transferable to other implementation projects. These methods captured the depth and breadth of factors contributing to intervention uptake, while minimizing disruption to clinic work and supporting mid-stream shifts in implementation strategies. A major challenge is the amount of dedicated researcher time required. The deep understanding of the 'how' and 'why' behind intervention outcomes that can be gained through an ethnographic approach improves the credibility and transferability of study findings. We encourage others to share their own experiences with ethnography in implementation evaluation and health services research, and to consider adapting the methods and tools described here for their own research.


Subject(s)
Anthropology, Cultural , Health Services Research , Primary Health Care , Process Assessment, Health Care , Humans , Interviews as Topic , Medical Informatics , Outcome Assessment, Health Care , Qualitative Research , Surveys and Questionnaires
8.
J Community Health ; 34(4): 262-70, 2009 Aug.
Article in English | MEDLINE | ID: mdl-19350372

ABSTRACT

Declining student interest and scholastic abilities in the sciences are concerns for the health professions. Additionally, the National Institutes of Health is committed to promoting more research on health behaviors among US youth, where one of the most striking contemporary issues is obesity. This paper reports findings on the impact of a partnership between Oregon Health and Science University (OHSU) and the Oregon Museum of Science and Industry linked to a 17-week exhibition of BodyWorlds3 and designed to inform rural underserved youth about science and health research. Self-administered survey measures included health knowledge, attitudes, intended health behaviors, and interest in the health professions. Four hundred four surveys (88% of participants) were included in analyses. Ninety percent or more found both the BodyWorlds (n = 404) and OHSU (n = 239) exhibits interesting. Dental care habits showed the highest level of intended behavior change (Dental = 45%, Exercise = 34%, Eating = 30%). Overall, females and middle school students were more likely than male and high school students, respectively, to state an intention to change exercise, eating and dental care habits. Females and high school students were more likely to have considered a career in health or science prior to their exhibit visit and, following the exhibit, were more likely to report that this intention had been reinforced. About 6% of those who had not previously considered a career in health or science (n = 225) reported being more likely to do so after viewing the exhibits. In conclusion, high quality experiential learning best created by community-academic partnerships appears to have the ability to stimulate interest and influence intentions to change health behaviors among middle and high school students.


Subject(s)
Academic Medical Centers , Cooperative Behavior , Health Education/organization & administration , Museums , Science/education , Adolescent , Career Choice , Child , Community-Institutional Relations , Data Collection , Female , Health Promotion , Humans , Male , Oregon , Program Evaluation , Rural Health
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