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1.
Prev Chronic Dis ; 20: E91, 2023 Oct 12.
Artigo em Inglês | MEDLINE | ID: mdl-37824699

RESUMO

INTRODUCTION: Since the launch of the National Diabetes Prevention Program (DPP) in 2010, more than 3,000 organizations have registered with the Centers for Disease and Control and Prevention to deliver the program; today, however, only approximately 2,000 organizations are registered, indicating challenges with sustainability. We used the Program Sustainability Assessment Tool (PSAT) to explore patterns of sustainability capacity among National DPP delivery organizations. METHODS: We used data from a cross-sectional online survey conducted in August and September 2021 of staff members (N = 440) at National DPP delivery organizations. We conducted a latent profile analysis to identify latent subpopulations on the basis of respondent PSAT domain scores. Regression analyses were used to estimate associations between derived latent classes, PSAT scores, and respondent characteristics. RESULTS: The 4-class model included 4 groups of capacity for program sustainability, ranging from low to high: low (class 1) with 8.0% of the sample, medium-low (class 2) with 22.0%, medium-high (class 3) with 41.6%, and high (class 4) with 28.4%. Program evaluation (mean score = 5.1 [SD = 1.4]) and adaptation (mean score = 5.3 [SD = 1.3]) were the domains with the highest scores, while funding stability (mean score = 4.0 [SD = 1.6]) and Partnerships (mean score = 4.0 [SD = 1.7]) had the lowest scores. In our sample of National DPP delivery organizations, most reported relatively high capacity for program sustainability, and key indicators associated with sustainability capacity were virtual delivery, location of delivery, funding sources, and organization type. DISCUSSION: Similar to sustainability capacity findings from other PSAT studies, our study found that funding stability and partnerships are areas to strengthen. This insight is useful in sustainability planning at organizational and national levels across multiple programs.


Assuntos
Diabetes Mellitus , Humanos , Estudos Transversais , Avaliação de Programas e Projetos de Saúde
2.
J Med Internet Res ; 21(3): e11240, 2019 03 05.
Artigo em Inglês | MEDLINE | ID: mdl-30835242

RESUMO

BACKGROUND: With increased access to technology and the internet, there are many opportunities for utilizing electronic health (eHealth), internet, or technology-delivered health services and information for the prevention and management of chronic diseases. OBJECTIVE: The aim of this paper was to explore (1) the differences in technology use, (2) Web-based health information seeking and use behaviors, (3) attitudes toward seeking health information on the Web, and (4) the level of eHealth literacy between adults aged 18 and 64 years with and without chronic disease. METHODS: A cross-sectional internet survey was conducted in March 2017 with 401 US adults. Participant responses were examined to understand associations between chronic disease status and eHealth behaviors such as internet health-seeking behaviors and Web-based behaviors related to health, tracking health indicators with a mobile app, patient portal use, and preferences for health information. RESULTS: About 1 in 3 (252/401, 37.2%) participants reported at least 1 chronic disease diagnosis. Seventy-five percent (301/401) of all participants reported having ever searched for health information on the Web. Participants with a chronic disease reported significantly higher instances of visiting and talking to a health care provider based on health information found on the Web (40.0% [48/120] vs 25.8% [46/178], χ22=6.7; P=.01; 43.3% [52/120] vs 27.9% [50/179]; χ22=7.6; P=.006). The uses of health information found on the Web also significantly differed between participants with and without chronic diseases in affecting a decision about how to treat an illness or condition (49.2% [59/120] vs 35.0% [63/180], χ23=6.7; P=.04), changing the way they cope with a chronic condition or manage pain (40.8% [49/120] vs 19.4% [35/180], χ22=16.3; P<.001), and leading them to ask a doctor new questions or get a second opinion (37.5% [45/120] vs 19.6% [35/179], χ22=11.8; P<.001). Chronic disease participants were significantly more likely to be tracking health indicators (43.9% [65/148] vs 28.3%, [71/251] χ22=10.4; P=.006). In addition, participants with chronic disease diagnosis reported significantly higher rates of patient portal access (55.0% [82/149] vs 42.1% [106/252], χ22=6.3; P=.01) and use (40.9% [61/149] vs 21.0% [53/252], χ22=18.2; P<.001). Finally, both groups reported similar perceived skills in using the internet for health information on the eHealth Literacy Scale (eHEALS). The majority of participants responded positively when asked about the usefulness of health information and importance of accessing health resources on the Web. CONCLUSIONS: The high rates of reported information seeking and use of internet-based health technology among participants with chronic disease may reflect the uptake in eHealth to help manage chronic disease conditions. Health care providers and educators should continue to seek ways to interact and support patients in their management of chronic disease through eHealth platforms, including capitalizing on Web-based resources, patient portals, and mobile phone apps for disease education and monitoring.


Assuntos
Comportamentos Relacionados com a Saúde , Promoção da Saúde/métodos , Comportamento de Busca de Informação , Portais do Paciente/normas , Idoso , Doença Crônica , Estudos Transversais , Feminino , Humanos , Internet , Masculino , Pessoa de Meia-Idade , Aplicativos Móveis , Telemedicina/estatística & dados numéricos , Estados Unidos
3.
Transl Behav Med ; 13(5): 327-337, 2023 05 13.
Artigo em Inglês | MEDLINE | ID: mdl-36694938

RESUMO

Many studies have explored organizational factors that facilitate implementation. However, there is still a limited understanding of determinants external to the implementing organization and their effects on evidence-based intervention (EBI) adoption, implementation, and outcomes. The purpose of this scoping review was to assess definitions of context and identify salient determinants of outer context found in dissemination and implementation theories, models, and frameworks. We employed a compilation of dissemination and implementation frameworks from two reviews as the data source. We abstracted the following information: type of article, outcomes of the framework, presence of a context definition, presence of any outer setting definition and the definition, number and domains of outer setting mentioned, definitions of outer context constructs, and any quantitative measures of outer setting. We identified 19 definitions of outer context. Forty-seven (49%) frameworks reported one or more specific constructs of the outer setting. While the outer context domains described in the frameworks varied, the most common domains were policy (n = 24), community (n = 20), partnerships (n = 13), and communications (n = 12). Based on our review of the frameworks, more conceptualization and measurement development for outer context domains are needed. Few measures were found and definitions of domains varied across frameworks. Expanding outer context construct definitions would advance measure development for important factors external to the organizations related to EBI implementation.


There is still a limited understanding of factors external to the implementing organization and their effects on evidence-based intervention adoption, implementation, and outcomes. This scoping study focuses on understanding definitions of context and important factors of outer context found in dissemination and implementation theories, models, and frameworks. We identified 19 definitions of outer context and 47 frameworks or theories that reported one or more specific constructs of the outer setting. Common domains found were policy (n = 25), community (n = 19), partnerships (n = 13), and communications (n = 13). We described gaps related to the current knowledge of outer context factors and offer future research directions. We recommended the development of outer context-specific scales, further exploration of the culture domain, and testing of how these outer context factors impact implementation outcomes.


Assuntos
Ciência da Implementação
4.
Implement Sci Commun ; 4(1): 142, 2023 Nov 17.
Artigo em Inglês | MEDLINE | ID: mdl-37978574

RESUMO

BACKGROUND: The National Diabetes Prevention Program (DPP) has made great strides in increasing accessibility to its year-long, evidence-based lifestyle change program, with around 3000 organizations having delivered the program. This large dissemination effort offers a unique opportunity to identify organization-level factors associated with program implementation and reach (enrollment) across diverse settings. The purpose of this study was to quantitatively examine the relationships among Consolidated Framework for Implementation Research (CFIR) Inner Setting and Outer Setting constructs and the implementation outcome of reach. METHODS: This study analyzed data from a 2021 cross-sectional online survey with 586 National DPP Staff (lifestyle coaches, master trainers, program coordinators) with information about their organization, implementation outcomes, and responses to quantitative CFIR Inner Setting and Outer Setting construct items. Structural equation modeling was used to test a hypothesized path model with Inner and Outer Setting variables to explore direct and indirect pathways to enrollment. RESULTS: The CFIR items had good internal consistency and indicated areas of implementation strength and weakness. Eight variables included as part of the CFIR structural characteristics and one organization characteristic variable had significant direct relationships with enrollment. The length of delivery, number of lifestyle coaches, number of full-time staff, large organization size, and organizations delivering in rural, suburban, and/or urban settings all had positive significant direct relationships with enrollment, while academic organizations and organizations with only non-White participants enrolled in their National DPP lifestyle change programs had a negative association with enrollment. CONCLUSIONS: Participant reach is an important implementation outcome for the National DPP and vital to making population-level decreases in diabetes incidence in the USA. Our findings suggest that to facilitate enrollment, program implementers should focus on organizational structural characteristics such as staffing. Strengths of this study include the use of adapted and newly developed quantitative CFIR measures and structural equation modeling. Health prevention programs can use the methods and findings from this study to further understand and inform the impact of organization factors on implementation outcomes.

5.
Implement Sci Commun ; 3(1): 104, 2022 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-36183133

RESUMO

BACKGROUND: Scaling evidence-based interventions are key to impacting population health. The National DPP lifestyle change program is one such intervention that has been scaled across the USA over the past 20 years; however, enrollment is an ongoing challenge. Furthermore, little is known about which organizations are most successful with program delivery, enrollment, and scaling. This study aims to understand more about the internal and external organization factors that impact program implementation and reach. METHODS: Between August 2020 and January 2021, data were collected through semi-structured key informant interviews with 30 National DPP delivery organization implementers. This study uses a qualitative cross-case construct rating methodology to assess which Consolidated Framework for Implementation Research (CFIR) inner and outer setting constructs contributed (both in valence and magnitude) to the organization's current level of implementation reach (measured by average participant enrollment per year). A construct by case matrix was created with ratings for each CFIR construct by interviewee and grouped by implementation reach level. RESULTS: Across the 16 inner and outer setting constructs and subconstructs, the interviewees with greater enrollment per year provided stronger and more positive examples related to implementation and enrollment of the program, while the lower reach groups reported stronger and more negative examples across rated constructs. Four inner setting constructs/subconstructs (structural characteristics, compatibility, goals and feedback, and leadership engagement) were identified as "distinguishing" between enrollment reach levels based on the difference between groups by average rating, the examination of the number of extreme ratings within levels, and the thematic analysis of the content discussed. Within these constructs, factors such as organization size and administrative processes; program fit with existing organization services and programs; the presence of enrollment goals; and active leadership involvement in implementation were identified as influencing program reach. CONCLUSIONS: Our study identified a number of influential CFIR constructs and their impact on National DPP implementation reach. These findings can be leveraged to improve efforts in recruiting and assisting delivery organizations to increase the reach and scale of the National DPP as well as other evidence-based interventions.

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