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Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55285, first published .
Assessing Priorities in a Statewide Cardiovascular and Diabetes Health Collaborative Based on the Results of a Needs Assessment: Cross-Sectional Survey Study

Assessing Priorities in a Statewide Cardiovascular and Diabetes Health Collaborative Based on the Results of a Needs Assessment: Cross-Sectional Survey Study

Assessing Priorities in a Statewide Cardiovascular and Diabetes Health Collaborative Based on the Results of a Needs Assessment: Cross-Sectional Survey Study

Authors of this article:

Elizabeth A Beverly1 Author Orcid Image ;   Sarah Koopman-Gonzalez2 Author Orcid Image ;   Jackson Wright2 Author Orcid Image ;   Kathleen Dungan3 Author Orcid Image ;   Harini Pallerla4 Author Orcid Image ;   Rose Gubitosi-Klug2 Author Orcid Image ;   Kristin Baughman5 Author Orcid Image ;   Michael W Konstan2 Author Orcid Image ;   Shari D Bolen2, 6 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

    Original Paper

    1Department of Primary Care, Ohio University Heritage College of Osteopathic Medicine, Athens, OH, United States

    2Department of Medicine, Case Western Reserve University, Cleveland, OH, United States

    3Department of Medicine, Ohio State University College of Medicine, Columbus, OH, United States

    4Department of Family and Community Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States

    5Department of Family and Community Medicine, Northeast Ohio Medical University, Rootstown, OH, United States

    6Center for Health Care Research and Policy, MetroHealth Medical Center, Cleveland, OH, United States

    *all authors contributed equally

    Corresponding Author:

    Elizabeth A Beverly, MS, PhD

    Department of Primary Care

    Ohio University Heritage College of Osteopathic Medicine

    1 Ohio University

    122 Medical Education Center

    Athens, OH, 45701

    United States

    Phone: 1 7405934616

    Fax:1 7405932205

    Email: beverle1@ohio.edu


    Background: The Ohio Cardiovascular and Diabetes Health Collaborative (Cardi-OH) unites general and subspecialty medical staff at the 7 medical schools in Ohio with community and public health partnerships to improve cardiovascular and diabetes health outcomes and eliminate disparities in Ohio’s Medicaid population. Although statewide collaboratives exist to address health improvements, few deploy needs assessments to inform their work.

    Objective: Cardi-OH conducts an annual needs assessment to identify high-priority clinical topics, screening practices, policy changes for home monitoring devices and referrals, and preferences for the dissemination and implementation of evidence-based best practices. The results of the statewide needs assessment could also be used by others interested in disseminating best practices to primary care teams.

    Methods: A cross-sectional survey was distributed electronically via REDCap (Research Electronic Data Capture; Vanderbilt University) to both Cardi-OH grant-funded and non–grant-funded members (ie, people who have engaged with Cardi-OH but are not funded by the grant).

    Results: In total, 88% (103/117) of Cardi-OH grant-funded members and 8.14% (98/1204) of non–grant-funded members completed the needs assessment survey. Of these, 51.5% (53/103) of Cardi-OH grant-funded members and 47% (46/98) of non–grant-funded members provided direct clinical care. The top cardiovascular medicine and diabetes clinical topics for Cardi-OH grant-funded members (clinical and nonclinical) were lifestyle prescriptions (50/103, 48.5%), atypical diabetes (38/103, 36.9%), COVID-19 and cardiovascular disease (CVD; 38/103, 36.9%), and mental health and CVD (38/103, 36.9%). For non–grant-funded members, the top topics were lifestyle prescriptions (53/98, 54%), mental health and CVD (39/98, 40%), alcohol and CVD (27/98, 28%), and cardiovascular complications (27/98, 28%). Regarding social determinants of health, Cardi-OH grant-funded members prioritized 3 topics: weight bias and stigma (44/103, 42.7%), family-focused interventions (40/103, 38.8%), and adverse childhood events (37/103, 35.9%). Non–grant-funded members’ choices were family-focused interventions (51/98, 52%), implicit bias (43/98, 44%), and adverse childhood events (39/98, 40%). Assessment of other risk factors for CVD and diabetes across grant- and non–grant-funded members revealed screening for social determinants of health in approximately 50% of patients in each practice, whereas some frequency of depression and substance abuse screening occurred in 80% to 90% of the patients. Access to best practice home monitoring devices was challenging, with 30% (16/53) and 41% (19/46) of clinical grant-funded and non–grant-funded members reporting challenges in obtaining home blood pressure monitoring devices and 68% (36/53) and 43% (20/46) reporting challenges with continuous glucose monitors.

    Conclusions: Cardi-OH grant- and non–grant-funded members shared the following high-priority topics: lifestyle prescriptions, CVD and mental health, family-focused interventions, alcohol and CVD, and adverse childhood experiences. Identifying high-priority educational topics and preferred delivery modalities for evidence-based materials is essential for ensuring that the dissemination of resources is practical and useful for providers.

    JMIR Form Res 2024;8:e55285

    doi:10.2196/55285

    Keywords

    health collaborative; cardiovascular disease; type 2 diabetes; needs assessment 


    Background

    Cardiovascular disease (CVD) is the leading cause of death in the United States [1] and worldwide, representing 32% of all global deaths or 17.9 million deaths annually [2]. In 2021, the age-adjusted CVD mortality rate was 204.7 per 100,000 Ohio residents, which is 17.8% higher than the national average [3]. Numerous risk factors contribute to Ohio’s higher rates of CVD, including tobacco use, hypertension, and diabetes. For example, in 2023, Ohio had the fourth highest smoking rate in the United States, with 21% of the population (2.4 million people) smoking [4]. Among adults with CVD in Ohio, 73% also have hypertension, and 69% have hyperlipidemia [5]. Similarly, data from 2016 show that adults with CVD in Ohio are more likely to have diabetes, cancer, kidney disease, asthma, and chronic obstructive pulmonary disease compared to those without CVD [5]. For these reasons, statewide approaches that address modifiable cardiometabolic risk factors are needed to facilitate the dissemination and implementation of evidence-based best practices for health care teams.

    In 2017, the Ohio Department of Medicaid (ODM) funded the development of the Ohio Cardiovascular and Diabetes Health Collaborative (Cardi-OH) [6]. Cardi-OH is a statewide health collaborative that unites the 7 medical schools in Ohio to improve cardiovascular and diabetes health outcomes and reduce disparities in Ohio’s Medicaid population. Health collaboratives mobilize community and public health partnerships to identify and solve health problems [7]. Specifically, Cardi-OH brings together primary care physicians, specialists, pharmacists, physician assistants, nurse practitioners, nurses, dietitians, and social scientists affiliated with the 7 medical schools as well as representatives from the ODM and Ohio’s Medicaid Managed Care plans to share their expertise to accelerate learning and the implementation of best practices. The ODM also separately funds statewide quality improvement projects focused on paired implementation in which Cardi-OH resources may be used [8,9].

    Objectives

    To prioritize the dissemination of topics each year, Cardi-OH conducts an annual needs assessment to identify educational foci for CVD risk reduction and type 2 diabetes management. Previous literature on needs assessments by regional and statewide health collaboratives has focused broadly on factors that influence health in the community or on a review of cardiovascular health or diabetes statistics for a particular region [10,11]. Our needs assessment differs by eliciting primary care team members’ most important considerations for implementing evidence-based best practices for both CVD risk reduction and type 2 diabetes. We present findings from the 2021 to 2022 needs assessment survey that identifies the prioritized topics, use of selected screening practices, and selected barriers to the dissemination and implementation of evidence-based best practices, which were used to develop the Cardi-OH materials for the 2022-2023 academic year. These findings may provide guidance for health care systems, professional organizations, payers, community-based organizations, and other health collaboratives looking to prioritize activities for CVD risk reduction and type 2 diabetes management.


    Ethical Considerations

    Ethics approval for the needs assessment was obtained from the Case Western Reserve University Institutional Review Board (study STUDY20180486). The research was classified as exempt and, therefore, did not require signed informed consent. In accordance with the Belmont principle of respect for persons, all Cardi-OH members were given the opportunity to choose whether to participate in the assessment. Furthermore, in compliance with federal, state, and local laws and regulations for human participants, we ensured that our research met the requirements set forth in the regulations on public welfare in Part 46 of Title 45 of the Code of Federal Regulations, the principles set forth in the Belmont Report, and the Helsinki Declaration of 1975. All study data were deidentified before analysis. Respondents received no human participant compensation for taking part in the needs assessment.

    Research Design

    We conducted a descriptive cross-sectional needs assessment with all members of the Cardi-OH community. Specifically, we administered a confidential electronic survey to identify important clinical topics, screening practices, policy changes for home monitoring devices and referrals, and preferences for the dissemination modality of evidence-based best practice materials. We elected to conduct a needs assessment because it is a systematic approach used to identify the priorities of a group and determine its capacity to address the needs of the population being served.

    Participants

    During the 2021-2022 academic year, Cardi-OH included a total of 1321 members. Of these 1321 members, 117 (8.86%) were grant-funded members affiliated with 1 of the 7 Ohio medical schools. For this noncompetitive statewide grant, grant-funded members included direct care providers and public health professionals specializing in CVD and type 2 diabetes. These grant-funded members were responsible for identifying, producing, and disseminating the latest evidence-based cardiovascular and diabetes best practices. The remaining 91.14% (1204/1321) of members were non–grant-funded members. Non–grant-funded members included community providers or stakeholders who engaged with Cardi-OH by registering through Cardi-OH–sponsored events (ie, statewide webinars and Cardi-OH Extension for Community Healthcare Outcomes [ECHO] clinics), registering through the Cardi-OH website, or engaging with Cardi-OH via alignment efforts with other statewide partners such as regional professional associations and community-based organizations. There were no exclusion criteria for joining Cardi-OH as a non–grant-funded member. Both grant-funded and non–grant-funded Cardi-OH members were tracked in a REDCap (Research Electronic Data Capture; Vanderbilt University) [12,13] database to record membership, event attendance, and program evaluation data.

    Measures

    Cardi-OH consists of 5 large teams: the executive team (ie, principal investigators from the 7 medical schools), team best practices (ie, the team that reviews and synthesizes evidence and national guidelines for dissemination), team ECHO (ie, the team that develops curricular content for 12-week web-based case-based learning series), the communications team (ie, the team responsible for branding, disseminating materials, and maintaining the website), and the data and evaluation team (ie, the team responsible for evaluating the success and effectiveness of the events and materials produced by Cardi-OH). The data and evaluation team comprises 12 experts in quantitative and qualitative methodologies representing 5 of the 7 medical schools. The goal of the data and evaluation team is to establish a set of metrics designed to measure the effectiveness of Cardi-OH. Every year, the data and evaluation team solicits input from all teams for CVD- and type 2 diabetes–related topics for an annual needs assessment. We have conducted needs assessments in previous years; however, this was the first year we administered the needs assessment to both grant-funded and non–grant-funded Cardi-OH members. Demographic questions are carried over from one year to the next, but topical questions are new with each needs assessment. These questions include lists of suggested topics that Cardi-OH members rank as high-priority educational topics to develop events and materials for in the upcoming year. The 2021 to 2022 needs assessment survey consisted of 24 questions; clinical members had to answer all 24 (100%) questions whereas nonclinical members had to answer only 5 of the 24 (21%) questions. For nonclinical members, the needs assessment took approximately 3 to 5 minutes to complete; for clinical members, the needs assessment took approximately 10 to 15 minutes to complete. Clinical members answered more questions because the survey included questions about the direct care provided, screening practices, comfort level with topics, and perceived difficulty ordering remote monitoring devices. While the focus of the needs assessment is clinical, we also include nonclinical members’ priorities to promote alignment with public health professionals across the state. Effective collaboration between clinical and public health professionals is essential to improve cardiovascular and type 2 diabetes health outcomes.

    To establish face and content validity, the data and evaluation team reviewed and rated each question to determine whether it was necessary, useful, and relevant to be included in the needs assessment. The needs assessment was then piloted on February 24, 2022, with 2 primary care physicians to identify any weak or irrelevant questions; no questions were removed after the pilot test. Reliability and validity testing was not conducted because no specific constructs (eg, knowledge, attitudes, and beliefs) were measured using this assessment.

    Data Collection

    The 2022 Cardi-OH needs assessment was disseminated electronically via REDCap to all Cardi-OH members. REDCap is a secure electronic data capture program designed for collecting survey data [12,13]; the program was hosted by Case Western Reserve University. The survey opened on March 29, 2022, and closed on April 22, 2022. Participation in this study was voluntary. All Cardi-OH members were sent 2 email reminders.

    Statistical Analysis

    Descriptive statistics were used to describe the survey participants. The frequencies of individual question responses were calculated by clinical and nonclinical status as well as by grant- and non–grant-funded status. For the purposes of the analysis, clinical providers were defined as any Cardi-OH member who provided direct clinical care to patients. Statistical significance was defined as P<.05. All analyses were conducted using SPSS statistical software (version 28.0; IBM Corp).


    Cardi-OH Survey Participants

    A total of 88% (103/117) of grant-funded members completed the needs assessment (Table 1). Of these, 51.5% (53/103) provided direct clinical care, of whom 79% (42/53) identified as physicians. More than half (30/53, 57%) of clinical providers practiced in a primary care setting, and 43% (23/53) worked in internal medicine. Providers estimated that 41.5% (SD 19.8%) of patients were enrolled in Medicaid.

    Table 1. Ohio Cardiovascular and Diabetes Health Collaborative (Cardi-OH) grant- and non–grant-funded members’ demographic characteristics.
    QuestionGrant-funded members (n=103)Non–grant-funded members (n=98)Chi-square (df) or Fisher exact testP value
    All Cardi-OH members: in what sector are you employed? (Select all that apply), n (%)

    		Academic88 (85.4)27 (27.6)68.7 (1)<.001

    		Health care48 (46.6)56 (57.1)2.2 (1).14

    		Health plan or insurer1 (1)6 (6.1)—a.06

    		Pharmaceutical or manufacturing1 (1)1 (1)—>.99

    		Nonprofit9 (8.7)15 (15.3)—.19

    		Philanthropic0 (0)0 (0)——

    		Private0 (0)3 (3.1)—.11

    		Public18 (17.5)20 (20.4)—.60

    		Research or policy or not academic10 (9.7)2 (2)0.2 (1).03

    		Other0 (0)2 (2)—.24
    All Cardi-OH members: do you provide direct clinical care to patients as part of a clinical team? This could be serving as a medical assistant, social worker, physician, etc, n (%)0.1 (1).67

    		Yes53 (51.5)46 (46.9)


    		No48 (46.6)52 (53.1)

    Clinical Cardi-OH members: what is your clinical role?, n (%)b17.8 (10).06

    		Physician42 (79.2)24 (52.2)


    		Nurse practitioner1 (1.9)5 (10.9)


    		Physician assistant2 (3.8)1 (2.2)


    		RNc1 (1.9)6 (13)


    		LPNd0 (0)1 (2.2)


    		Medical assistant0 (0)2 (4.3)


    		Registered dietitian1 (1.9)1 (2.2)


    		Social worker1 (1.9)3 (6.5)


    		Psychologist0 (0)1 (2.2)


    		Pharmacist4 (7.5)1 (2.2)


    		Other0 (0)1 (2.2)

    Clinical Cardi-OH members: in what setting do you practice?, n (%)b3.9 (2).14

    		Primary care30 (56.6)33 (71.7)


    		Specialty care20 (37.7)9 (19.6)


    		Other3 (5.7)4 (8.7)

    Clinical Cardi-OH members: in what specialty area do you work?, n (%)b3.3 (5).64

    		Family medicine15 (28.3)17 (37)


    		Internal medicine23 (43.4)14 (30.4)


    		Pediatrics3 (5.7)5 (10.9)


    		Geriatrics1 (1.9)1 (2.2)


    		Other10 (18.9)9 (19.6)

    Clinical Cardi-OH members: how would you describe the geographic setting where you primarily practice? (Select all that apply), n (%)b

    		Urban42 (79.2)30 (65.2)2.4 (1).12

    		Suburban18 (34)16 (34.8)0.0 (1).93

    		Rural6 (11.3)8 (17.4)0.7 (1).39

    		Other1 (1.9)0 (0)0.8 (1).35
    Clinical Cardi-OH members: approximately what percentage of the patients you serve are enrolled in Medicaid? (%), mean (SD)41.5 (19.8)51.7 (29.3)–1.9 (87).06
    Clinical Cardi-OH members: how often do you provide clinical care?, n (%)b7.5 (3).06

    		>75% of the time9 (17)19 (41.3)


    		50%-75% of the time16 (30.2)8 (17.4)


    		25%-49% of the time11 (20.8)8 (17.4)


    		<25% of the time17 (32.1)11 (23.9)

    aFisher exact test.

    bGrant-funded members: n=53; non–grant-funded members: n=46.

    cRN: registered nurse.

    dLPN: licensed practical nurse.

    A total of 8.14% (98/1204) of non–grant-funded members completed the needs assessment. Of these, 47% (46/98) reported providing direct clinical care, of whom 52% (24/46) identified as physicians. More than two-thirds (33/46, 72%) of the non–grant-funded providers practiced in a primary care setting, and 37% (17/46) worked in family medicine. Providers estimated that 51.7% (SD 29.3%) of their patients were enrolled in Medicaid.

    Top-Rated Cardiovascular Medicine Topics

    Cardi-OH members were asked to choose their top topics of interest for cardiovascular medicine (Multimedia Appendix 1). For all grant-funded members (n=103; clinical and nonclinical), the top cardiovascular medicine topics were lifestyle prescriptions (50/103, 48.5%; Multimedia Appendix 1), atypical diabetes (38/103, 36.9%), COVID-19 and CVD (38/103, 36.9%), mental health and CVD (38/103, 36.9%), and alcohol and CVD (32/103, 31.1%). Among clinical grant-funded members, the highest-rated topics were atypical diabetes (29/53, 55%), calcium scoring (26/53, 49%), and special cases of CVD and diabetes (24/53, 45%).

    For all non–grant-funded members (n=98), the top cardiovascular medicine topics were lifestyle prescriptions (53/98, 54%), mental health and CVD (39/98, 40%), alcohol (27/98, 28%), and cardiovascular complications (27/98, 28%). The top 3 topics among clinical non–grant-funded members were lifestyle prescriptions (27/46, 59%), mental health and CVD (22/46, 48%), and alcohol and CVD (20/46, 43%).

    Top-Rated Topics Related to Social Determinants of Health

    Regarding social determinants of health (SDoHs), grant-funded members (clinical and nonclinical) selected their top topics: (1) weight bias and stigma (44/103, 42.7%; Multimedia Appendix 2), (2) family-focused interventions for CVD and diabetes (40/103, 38.8%), (3) adverse childhood experiences and their association with CVD and diabetes (37/103, 35.9%), and (4) implicit bias and CVD (37/103, 35.9%). For clinical grant-funded members, the highest-rated topics were family-focused interventions for CVD and diabetes (24/53, 45%), weight bias and stigma (22/53, 42%), and peer support interventions for CVD and diabetes (19/53, 36%).

    Non–grant-funded members selected (1) family-focused interventions for CVD and diabetes (51/98, 52%), (2) implicit bias and CVD (43/98, 44%), and (3) adverse childhood experiences and their association with CVD and diabetes (39/98, 40%). Among clinical non–grant-funded members, the highest-rated topics were adverse childhood experiences and their association with CVD and diabetes (19/46, 41%), gender disparities in CVD (17/46, 37%), and implicit bias and CVD (17/46, 37%).

    Screening Practices for SDoHs

    More than half (28/53, 53%) of clinical grant-funded members felt “very” or “extremely” comfortable screening for SDoHs (Table 2). Almost half (21/53, 40%) screened for SDoHs when their patients appeared to have barriers, and 25% (13/53) screened at every visit. Only 23% (12/53) of clinical grant-funded members were “very” or “extremely” confident that they could address their patients’ SDoHs. The most common methods for screening for SDoHs were verbal (30/53, 57%), web (21/53, 40%), paper (8/53, 15%), and others (2/53, 4%).

    Table 2. Ohio Cardiovascular and Diabetes Health Collaborative grant- and non–grant-funded members’ responses to the questions on screening.
    QuestionsClinical grant-funded members (n=53), n (%)Clinical non–grant-funded members (n=46), n (%)Chi-square (df)P value
    Questions on screening for SDoHsa

    		How comfortable do you feel screening for SDoHs in adults with type 2 diabetes?5.8 (5).33


    		Extremely comfortable13 (25)12 (26)



    		Very comfortable15 (28)11 (24)



    		Moderately comfortable18 (34)11 (24)



    		Slightly comfortable4 (8)5 (11)



    		Not at all comfortable2 (4)7 (15)


    		How often do you screen for SDoHs?8.2 (7).31


    		Annually6 (11)12 (26)



    		Every visit13 (25)11 (24)



    		Only when the patient appears to have barriers21 (40)10 (22)



    		Never1 (2)1 (2)



    		N/Ab5 (9)7 (15)



    		Other5 (9)2 (4)



    		Do not know2 (4)2 (4)


    		How confident are you that you can address the SDoHs of your patients (eg, referrals)?9.9 (6).13


    		Extremely confident7 (13)6 (13)



    		Very confident5 (9)13 (28)



    		Moderately confident23 (43)13 (28)



    		Slightly confident12 (23)9 (20)



    		Not at all confident3 (6)5 (11)



    		N/A2 (4)0 (0)


    		What method do you use to screen for SDoHs? (Select all that apply)


    		Paper8 (15)18 (39)7.4 (1).007


    		Web21 (40)20 (43)0.2 (1).70


    		Verbal30 (57)25 (54)0.2 (1).82


    		Other2 (4)0 (0)1.8 (1).18


    		Do not know5 (9)5 (11)0.1 (1).81
    Questions on screening for behavioral health

    		Do you routinely screen patients for depression?8.4 (4).08


    		All patients are screened36 (68)35 (76)



    		Certain populations are screened5 (9)3 (7)



    		No5 (9)3 (7)



    		Do not know7 (13)0 (0)



    		N/A0 (0)5 (11)


    		How often do you screen patients for depression?5.3 (4).26


    		Annually14 (26)17 (37)



    		Every visit20 (38)19 (41)



    		Only when the patient appears depressed4 (8)0 (0)



    		Other3 (6)1 (2)



    		N/A0 (0)0 (0)



    		Do not know0 (0)0 (0)


    		How often are you able to connect Medicaid patients with needed behavioral health services?5.5 (5).36


    		Always7 (13)12 (26)



    		Often16 (30)15 (33)



    		Sometimes19 (36)12 (26)



    		Rarely1 (2)2 (4)



    		Never0 (0)0 (0)



    		N/A8 (15)5 (11)



    		Do not know2 (4)0 (0)

    Questions on screening for substance abuse

    		How often do you screen patients for substance abuse?6.3 (6).39


    		Annually12 (23)16 (35)



    		Every visit12 (23)13 (28)



    		Only when the patient shows signs of substance abuse11 (21)4 (9)



    		My practice does not screen for substance abuse3 (6)3 (7)



    		Other5 (9)1 (2)



    		N/A7 (13)7 (15)



    		Do not know3 (6)2 (4)


    		How often are you able to connect Medicaid patients with needed treatment for substance abuse disorders?11.3 (6).08


    		Always5 (9)12 (26)



    		Often7 (13)9 (20)



    		Sometimes17 (32)14 (30)



    		Rarely4 (8)4 (9)



    		Never0 (0)0 (0)



    		N/A14 (26)7 (15)



    		Do not know5 (9)0 (0)

    aSDoH: social determinant of health.

    bN/A: not applicable.

    Among the clinical non–grant-funded members, 50% (23/46) felt “very” or “extremely” comfortable screening for SDoHs. A total of 22% (10/46) screened for SDoHs when their patients appeared to have barriers, and 24% (11/46) screened at every visit. A total of 41% (19/46) of clinical non–grant-funded members were “very” or “extremely” confident that they could address their patients’ SDoHs. The most common methods for screening for SDoHs were verbal (25/46, 54%), web (20/46, 43%), and paper (18/46, 39%).

    The only significant difference between clinical grant- and non–grant-funded members pertained to the screening methods for SDoHs. Specifically, clinical non–grant-funded members used paper more frequently than did grant-funded members (χ21=7.4; P=.007). No other differences were observed in screening practices for SDoHs.

    Screening Practices for Depression

    For depression screening, 68% (36/53) of clinical grant-funded members indicated that all patients were screened, 9% (5/53) screened only certain populations, 13% (7/53) selected not applicable, and 9% (5/53) did not screen (Table 2). Regarding the frequency of depression screening, 38% (20/53) screened at every visit, 26% (14/53) screened annually, 8% (4/53) screened when the patient appeared depressed, and 6% (3/53) selected other. Only 13% (7/53) of clinical grant-funded members specified that they were always able to connect their Medicaid patients with needed behavioral health services, 30% (16/53) reported that they were able to do so often, 36% (19/53) reported that they were able to do so sometimes, 2% (1/53) reported that they were able to do so rarely, 4% (2/53) did not know, and 15% (8/53) selected not applicable.

    Among clinical non–grant-funded members, 76% (35/46) indicated that all patients were screened for depression, 7% (3/46) screened only certain populations, and 11% (5/46) selected not applicable. Regarding the frequency of depression screening, 41% (19/46) screened at every visit, 37% (17/46) screened annually, and 2% (1/46) selected other. Approximately one-quarter (12/46, 26%) of clinical non–grant-funded members specified that they were always able to connect their Medicaid patients with needed behavioral health services, 33% (15/46) reported that they were able to do so often, 26% (12/46) reported that they were able to do so sometimes, 4% (2/46) reported that they were able to do so rarely, and 11% (5/46) selected not applicable.

    No differences were observed in behavioral health screening practices between clinical and nonclinical grant-funded members (Table 2).

    Screening Practices for Substance Abuse

    For substance abuse screening, 23% (12/53) of clinical grant-funded members screened at every visit, 23% (12/53) screened annually, 21% (11/53) screened when patients showed signs of substance abuse, 6% (3/53) did not know, 6% (3/53) did not screen, 13% (7/53) selected not applicable, and 9% (5/53) selected other (Table 2). Regarding their ability to connect Medicaid patients with needed treatment for substance abuse disorders, 9% (5/53) reported being able to do so always, 13% (7/53) reported being able to do so often, 32% (17/53) reported being able to do so sometimes, 8% (4/53) reported being able to do so rarely, 9% (5/53) did not know, and 26% (14/53) selected not applicable.

    Among clinical non–grant-funded members, 28% (13/46) screened for substance abuse at every visit, 35% (16/46) screened annually, 9% (4/46) screened when patients showed signs of substance abuse, 4% (2/46) did not know, 7% (3/46) did not screen, 15% (7/46) selected not applicable, and 2% (1/46) selected other. Regarding their ability to connect Medicaid patients with needed treatment for substance abuse disorders, 26% (12/46) indicated that they were able to do so always, 20% (9/46) reported that they were able to do so often, 30% (14/46) reported that they were able to do so sometimes, 9% (4/46) reported that they were able to do so rarely, and 15% (7/46) selected not applicable.

    No differences were observed in substance abuse screening practices between clinical and nonclinical grant-funded members (Table 2).

    Perceived Difficulty Obtaining Home Monitoring Devices and Making Referrals

    Clinical Cardi-OH members were asked about their perceived difficulty obtaining specific home monitoring devices and making referrals because these were areas that Medicaid was specifically trying to address. Of the 53 clinical grant-funded members, 16 (30%; Table 3) perceived obtaining home blood pressure monitors as “moderately,” “very,” or “extremely” difficult, followed by 7 (13%) who perceived obtaining glucometers as “moderately” or “very” difficult and 36 (68%) who perceived obtaining continuous glucose monitoring (CGM) devices as “moderately,” “very,” or “extremely” difficult. Finally, 34% (18/53) of clinical grant-funded members found referring a Medicaid patient to diabetes self-management education and support (DSMES) “moderately,” “very,” or “extremely” difficult.

    Table 3. Ohio Cardiovascular and Diabetes Health Collaborative grant- and non–grant-funded members’ responses to questions on obtaining home monitoring devices and making referrals.
    QuestionsClinical grant-funded members (n=53), n (%)Clinical non–grant-funded members (n=46), n (%)Chi-square (df)P value
    How difficult is it for you to obtain home BPa monitors for your Medicaid patients with hypertension?4.0 (5).55

    		Extremely difficult2 (4)2 (4)


    		Very difficult4 (8)5 (11)


    		Moderately difficult10 (19)12 (26)


    		Slightly difficult13 (25)8 (17)


    		Not at all difficult7 (13)10 (22)


    		N/Ab17 (32)9 (20)

    How difficult is it for you to obtain glucometers for your Medicaid patients with type 2 diabetes?1.8 (4).77

    		Extremely difficult0 (0)0 (0)


    		Very difficult2 (4)1 (2)


    		Moderately difficult5 (9)3 (7)


    		Slightly difficult18 (34)12 (26)


    		Not at all difficult17 (32)20 (43)


    		N/A11 (21)10 (22)

    How difficult is it for you to obtain CGMc devices for your Medicaid patients with type 2 diabetes?16.4 (6).01

    		Extremely difficult6 (11)3 (7)


    		Very difficult9 (17)11 (24)


    		Moderately difficult21 (40)6 (13)


    		Slightly difficult2 (4)9 (20)


    		Not at all difficult1 (2)4 (9)


    		N/A13 (25)13 (28)

    How difficult is it for you to refer a Medicaid patient to DSMESd ?3.5 (6).75

    		Extremely difficult2 (4)2 (4)


    		Very difficult3 (6)2 (4)


    		Moderately difficult13 (25)7 (15)


    		Slightly difficult9 (17)6 (13)


    		Not at all difficult14 (26)17 (37)


    		N/A12 (23)11 (24)

    aBP: blood pressure.

    bN/A: not applicable.

    cCGM: continuous glucose monitoring.

    dDSEMS: diabetes self-management education and support.

    Of the 46 clinical non–grant-funded members, 19 (41%; Table 3) found obtaining home blood pressure monitors “moderately,” “very,” or “extremely” difficult, followed by 4 (9%) who perceived obtaining glucometers as “moderately” or “very” difficult and 20 (43%) who perceived obtaining CGM devices as “moderately,” “very,” or “extremely” difficult. Finally, 24% (11/46) of clinical non–grant-funded members perceived referrals to DSMES as “moderately,” “very,” or “extremely” difficult.

    Clinical grant-funded members differed from clinical non–grant-funded members in perceived difficulty ordering CGM devices (χ26=16.4; P=.01; Table 3). No other differences were observed in perceived difficulty obtaining home monitoring devices and referring to DSMES.

    Preferences for Dissemination of Evidence-Based Materials

    Finally, both grant- and non–grant-funded members were asked about their preferences for the delivery modality of evidence-based best practice materials. The Cardi-OH best practices team produces a variety of materials, including a monthly newsletter, capsules (1-page summaries of best practices ready for implementation in clinical care), currents (half-page summaries of recent peer-reviewed articles describing the latest advances in medicine), best practice documents (web-based tools and resources), Cardi-OH ECHO clinic didactic recordings, and podcasts. All Cardi-OH members were asked to select their top 3 delivery modalities; thus, the percentages exceed 100% (Table 4).

    Table 4. Ohio Cardiovascular and Diabetes Health Collaborative (Cardi-OH) grant- and non–grant-funded members’ preferences for the delivery modality of evidence-based best practice materials.
    Question: from the list of Cardi-OH materials, SELECT UP TO THREE that are of most interest to youGrant-funded members (n=103), n (%)Non–grant-funded members (n=98), n (%)Chi-square (df)P value
    Newsletters (monthly updates highlighting new best practice content and other timely information about the collaborative, including links to web documents, capsules, and currents)72 (69.9)57 (58.2)3 (1).08
    Capsules (brief 1-page summaries of best practices that are ready to be implemented in clinical care)68 (66)47 (48)6.6 (1).01
    Currents (brief half-page summaries of recent articles describing the latest advances in medicine or clinical practice related to cardiovascular health)49 (47.6)42 (42.9)0.4 (1).50
    Best practice documents (web-based tools and resources to help clinicians aid patients in managing cardiovascular health)49 (47.6)65 (66.3)7.2 (1).007
    Cardi-OH ECHOa clinic didactic recordings (brief videos of presentations to improve content knowledge and share evidence-based best practices)17 (16.5)24 (24.5)1.9 (1).16
    Podcasts (audio recordings highlighting national, state, and local leaders discussing timely topics for primary care clinicians)35 (34)24 (24.5)2.1 (1).14

    aECHO: Extension for Community Healthcare Outcomes.

    Grant-funded members preferred these materials in the following order: newsletters (72/103, 69.9%), capsules (68/103, 66%), currents (49/103, 47.6%), best practice documents (49/103, 47.6%), podcasts (35/103, 34%), and ECHO didactic recordings (17/103, 16.5%). Non–grant-funded member preferences were as follows: best practice documents (65/98, 66%), newsletters (57/98, 58%), capsules (47/98, 48%), currents (42/98, 43%), podcasts (24/98, 24%), and ECHO didactic recordings (24/98, 24%).

    Grant-funded members preferred capsules more than non–grant-funded members (68/103, 66% vs 47/98, 48%; χ21=6.7; P=.01), and non–grant-funded members preferred best practice documents more than grant-funded members (65/98, 66% vs 49/103, 47.6%; χ21=6.7; P=.01). No other differences were observed in preferences for delivery modality.

    Best Practice Events and Materials

    Events and materials were created based on the following top clinical topics: lifestyle prescriptions (website document: Implementing Lifestyle Prescriptions in Primary Care), CVD and mental health (website document: Mental Health and Chronic Conditions: Treating the Whole Patient to Improve Self-Care), and alcohol and CVD (podcast: Addressing Unhealthy Alcohol Use: Strategies for Primary Care). The top SDoH topics included weight bias and stigma (ECHO didactic recording: Obesity: Bias and Discrimination), adverse childhood experiences (capsule: Adverse Childhood Experiences and Cardiovascular Disease Risk), and family-focused interventions (capsule [Tips to Improve Family Support for Heart-Healthy Living] and website document [Family Support as a Key Component of Cardiovascular Disease Prevention and Care]). To address preferences for dissemination, these topics were presented in a variety of modalities. Additional events and materials were created to cover the following topics that were rated as being of moderate interest in the needs assessment: COVID-19 (statewide webinar), sleep disorders (statewide webinar and podcast), smoking cessation (capsule), atypical diabetes (capsule), supplements (website document and podcast), the role of clinical pharmacists (website document), lipids and statin use (podcast), complications (current), and disability (capsule and podcast). Importantly, all the events and materials are publicly available on the Cardi-OH website.


    Principal Findings

    In this cross-sectional, descriptive needs assessment, we surveyed clinical and nonclinical grant- and non–grant-funded members of the Cardi-OH community. The purpose of the needs assessment was to identify high-priority topics for the dissemination of evidence-based best practices to Ohio’s health care providers. We also evaluated our clinical members’ screening practices regarding critical topic areas important to health equity and CVD care, perceived difficulties obtaining home monitoring devices and referrals to DSMES as Medicaid payers were actively working to address these barriers, and preferences for the dissemination of evidence-based best practice materials. Overall, both clinical grant- and non–grant-funded members prioritized the following CVD-related topics: lifestyle prescriptions, CVD and mental health, and alcohol and CVD. For SDoH-related topics, clinical grant- and non–grant-funded members prioritized family-focused interventions and adverse childhood experiences. Regarding screening for SDoHs, half of clinical grant- and non–grant-funded members felt “very” or “extremely” comfortable screening for SDoHs, and they used a variety of modalities to screen. In addition, 68% (36/53) of clinical grant-funded members and 76% (35/46) of clinical non–grant-funded members screened all patients for depression, with most screening at every visit. Regarding substance abuse screening, 23% (12/53) of clinical grant-funded members and 28% (13/46) of clinical non–grant-funded members screened at every visit. In all screening categories, connecting with resources to address these areas was challenging. When asked about difficulty with ordering home monitoring devices, clinical grant- and non–grant-funded members perceived ordering home blood pressure monitors (16/53, 30% vs 19/46, 41%, respectively) and CGMs (36/53, 68% vs 20/46, 43%, respectively) as “moderately,” “very,” or “extremely” difficult. Finally, Cardi-OH grant- and non–grant-funded members’ top 3 delivery modalities for evidence-based materials were newsletters, capsules, and best practice documents. Interestingly, grant-funded members were more likely to prefer capsules, and non–grant-funded members were more likely to prefer best practice documents.

    Comparison With Prior Work

    Dissemination and implementation of evidence-based best practices for CVD and diabetes are critical to address the leading cause of morbidity and mortality worldwide. Best practices in CVD care include a wide range of factors such as preventive management [14,15]. Needs assessments help organizations identify problems, gaps in programming or content, and strategies to prioritize resources. Our needs assessment identified specific needs and gaps for each Cardi-OH team to inform their development of evidence-based best practice events and materials for the following year. For example, team best practices used the findings to create a website document on lifestyle prescriptions and a capsule on adverse childhood experiences. Because medicine is an information-based science and clinical care requires frequent information seeking, understanding the needs and preferences of providers is essential [16]. Preferences for dissemination were noted, and prioritized topics were covered in website documents and capsules, 2 of the most preferred delivery modalities, although we often try to use multiple modalities due to differences in learning styles and preferences. These preferences align with previous research examining health care providers’ information needs. Specifically, accessible web-based resources and summaries that synthesize evidence-based materials facilitate providers’ information-seeking behaviors [16]. Thus, asking what Cardi-OH members prefer regarding both topics and dissemination modalities may lead to increased engagement with the collaborative. Over time, we anticipate that increased engagement with the collaborative will increase the dissemination of evidence-based best practices to health care providers across the state. Increased dissemination of best practices improves the quality of care [17], standardizes care across providers and settings [18], reduces health expenditures [19], and increases efficiency in health care [20]. Best practices achieve these outcomes by reducing complications, decreasing hospitalizations, and preventing mortality [21,22].

    Health collaboratives such as Cardi-OH are partnerships between health care providers, health care organizations, academic institutions, health plans and insurers, public health, government agencies, and other public and private stakeholders that work together to improve the Quadruple Aim: (1) improving the health of the population, (2) improving the patient experience, (3) reducing costs, and (4) improving care team well-being. Health collaboratives achieve this aim through collective learning, shared data, and diffusion of innovation [23,24]. Importantly, health collaboratives can take many forms and focus on different issues. For example, they may focus on a specific health condition, such as Cardi-OH’s focus on CVD and diabetes, or on care delivery or patient safety. Importantly, the success of a health collaborative hinges on members working together to leverage their collective expertise, resources, and authority to address complex challenges in health care. The key to leveraging expertise, resources, and authority is identifying the priorities of a collaborative and determining the group’s capacity to address the needs of the population being served. One way to identify a collaborative’s strengths, challenges, and priorities is through an annual needs assessment [25]. Importantly, annual needs assessments should be updated to capture context changes, needs, and priorities. Finally, needs assessments can build leadership and group cohesion and facilitate community involvement with health collaboratives [25].

    The findings of our needs assessment can be used as a guide or template for other health collaboratives to identify high-priority educational topics in their region. We outline an approach that involves engaging with both clinical and nonclinical stakeholders to ensure that our collaborative’s priorities are aligned with our state’s needs. Similarly, our prioritized topics may be of interest to other organizations and primary care providers given the high prevalence of CVD and type 2 diabetes in the United States and worldwide. Furthermore, the events and materials we produce are publicly available to anyone at no cost. Sharing resources such as those created by Cardi-OH promotes additional partnerships to leverage the expertise and capabilities of multiple organizations.

    Limitations

    Limitations include the sample size, limited use of inferential statistics, participant self-selection, self-reported data, and lack of patient perceptions. The response rate among Cardi-OH grant-funded members was high (103/117, 88%); however, among non–grant-funded members, it was only 8.14% (98/1204). The low response rate among non–grant-funded members introduced a bias between responders and nonresponders that we could not control for in the analysis. Future work should include efforts to increase the response rate of non–grant-funded members. Second, the self-reported findings may be susceptible to selection and social desirability biases. To minimize bias, the researchers informed participants that their responses were confidential. Furthermore, the researchers emphasized the voluntary nature of participation and explicitly informed the respondents that their responses had no bearing on their professional standing. Finally, the needs assessment did not assess patient perceptions. The current scope of Cardi-OH is to identify, produce, and disseminate the latest evidence-based cardiovascular and diabetes best practices to primary care providers in Ohio. Expansion of the needs assessment to include patient needs and preferences could be considered in future assessments by the collaborative to identify gaps, improve decision-making, understand treatment options, and improve health outcomes.

    Conclusions

    Accelerating the learning of best practices in cardiovascular and diabetes care is essential to improve health outcomes and eliminate disparities. Over time, continuous learning of evidence-based best practices improves the quality of care [17], standardizes care across providers and settings [18], reduces health expenditures [19], and increases efficiency [20]. As medicine continues to develop new treatments and technologies, the importance of accelerating the learning of evidence-based best practices will increase, and health collaboratives such as Cardi-OH should play a critical role in keeping providers up-to-date on the latest developments in their field. Moreover, health collaboratives identify implementation gaps that arise between best practice research studies and frontline provision of care, allowing for communication and advocacy to address gaps in access to necessary resources (eg, home monitoring devices) and advanced care referrals. Our findings can be used to guide similar efforts by health care systems, professional organizations, payers, community-based organizations, and other health collaboratives looking to prioritize activities in CVD risk reduction and type 2 diabetes management.

    Acknowledgments

    Funding for Cardi-OH was provided by the Ohio Department of Medicaid’s Medicaid Technical Assistance and Policy Program, with supplemental funding (cost share) from the universities that Ohio’s 7 schools of medicine are part of—Case Western Reserve University, Northeast Ohio Medical University, Ohio University, Ohio State University, University of Cincinnati, University of Toledo, and Wright State University—as well as their associated affiliates: MetroHealth Medical Center, University Hospitals Cleveland Medical Center, and Ohio State University Wexner Medical Center. The authors gratefully acknowledge the administrative support of the Ohio Colleges of Medicine Government Resource Center. The views expressed in this manuscript are solely those of the authors and do not represent the views of the State of Ohio or any federal Medicaid program.

    Data Availability

    The data sets generated during and analyzed during this study are available from the corresponding author on reasonable request.

    Authors' Contributions

    EAB, SKG, JW, KD, HP, RGK, KB, MWK, and SDB made substantial contributions to conception and design, acquisition of data, data analysis, and interpretation of the data; drafted the manuscript; revised the manuscript critically for important intellectual content; and gave final approval to the version of the manuscript to be published. EAB, SKG, JW, KD, HP, RGK, KB, MWK, and SDB agree to be accountable for all aspects of the work, ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

    Conflicts of Interest

    KD has served as a consultant for Eli Lilly, Dexcom, Insulet, and Oppenheimer, and research support from Dexcom, Insulet, Abbott, Sanofi, Viacyte Honoraria: Uptodate, Elsevier, Cardiometabolic Health Congress, Med Learning Group, Medscape" to the disclosures. JW has served as a consultant at Medtronic and conducted research with the National Institute on Minority Health and Health Disparities (NIMHD), Ohio Department of Medicaid, and Agency for Healthcare Research and Quality (AHRQ). All other authors have nothing to report.

    Multimedia Appendix 1

    Ohio Cardiovascular and Diabetes Health Collaborative members’ top-rated cardiovascular disease (CVD)–related topics by clinical and nonclinical grant- (n=103) and non–grant-funded (n=98) members.

    DOCX File , 16 KB
    Multimedia Appendix 2

    Ohio Cardiovascular and Diabetes Health Collaborative members’ top-rated social determinant of health–related topics by clinical and nonclinical grant- (n=103) and non–grant-funded (n=98) members.

    DOCX File , 14 KB
    1. Tsao CW, Aday AW, Almarzooq ZI, Anderson CA, Arora P, Avery CL, et al. American Heart Association Council on EpidemAmerican Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics SubcommitteeiologyPrevention Statistics CommitteeStroke Statistics Subcommittee. Heart disease and stroke statistics-2023 update: a report from the American Heart Association. Circulation. Feb 21, 2023;147(8):e93-621. [CrossRef] [Medline]
    2. Cardiovascular diseases (CVDs): key facts. World Health Organization. Geneva, Switzerland.; 2023. URL: https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) [accessed 2023-06-22]
    3. Heart Disease Mortality by State. Centers for Disease Control and Prevention. Feb 25, 2022. URL: https://www.cdc.gov/nchs/pressroom/sosmap/heart_disease_mortality/heart_disease.htm [accessed 2023-06-22]
    4. Smoking rates by state 2023. World Population Review. 2023. URL: https://worldpopulationreview.com/state-rankings/smoking-rates-by-state [accessed 2023-06-22]
    5. Ohio 2016 BRFSS annual report. Ohio Department of Health. 2018. URL: https:/​/odh.​ohio.gov/​know-our-programs/​chronic-disease/​data-publications/​ohio-2016-brfss-annual-report [accessed 2023-06-23]
    6. Bolen SD, Beverly EA, Khoury S, Regan S, Wright Jr JT, Koroukian S, et al. Forming Cardi-OH: a statewide collaborative to improve cardiovascular health in Ohio. Cureus. Aug 2022;14(8):e28381. [CrossRef] [Medline]
    7. Varda DM, Retrum JH. An exploratory analysis of network characteristics and quality of interactions among public health collaboratives. J Public Health Res. Jun 15, 2012;1(2):170-176. [FREE Full text] [CrossRef] [Medline]
    8. Bolen SD, Joseph JJ, Dungan KM, Beverly EA, Perzynski AT, Einstadter D, et al. A medicaid-funded statewide diabetes quality improvement collaborative: Ohio 2020‒2022. Am J Public Health. Dec 2023;113(12):1254-1257. [CrossRef]
    9. Bolen SD, Koroukian S, Wright Jr JT, Persaud H, Einstadter D, Fiegl J, et al. A medicaid statewide hypertension quality improvement project: initial results. Cureus. Mar 2023;15(3):e36132. [FREE Full text] [CrossRef] [Medline]
    10. Curtis E. Cardiovascular disease health needs assessment. Public Health, London Borough of Merton. Merton Clinical Commissioning Group; 2016. URL: https://www.merton.gov.uk/system/files?file=cardiovascular20disease20hna.pdf [accessed 2023-06-22]
    11. Community health needs assessment 2021 report. The Health Collaborative. 2021. URL: https://healthcollab.org/community-health-needs-assessment/ [accessed 2023-06-23]
    12. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. Apr 2009;42(2):377-381. [FREE Full text] [CrossRef] [Medline]
    13. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'Neal L, et al. REDCap Consortium. The REDCap consortium: building an international community of software platform partners. J Biomed Inform. Jul 2019;95:103208. [FREE Full text] [CrossRef] [Medline]
    14. Cowie A, Buckley J, Doherty P, Furze G, Hayward J, Hinton S, et al. British Association for Cardiovascular Prevention and Rehabilitation (BACPR). Standards and core components for cardiovascular disease prevention and rehabilitation. Heart. Apr 30, 2019;105(7):510-515. [FREE Full text] [CrossRef] [Medline]
    15. Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, et al. 2019 ACC/AHA guideline on the primary prevention of cardiovascular disease: a report of the American College of Cardiology/American Heart Association Task Force on clinical practice guidelines. Circulation. Sep 10, 2019;140(11):e596-e646. [FREE Full text] [CrossRef] [Medline]
    16. Daei A, Soleymani MR, Ashrafi-Rizi H, Zargham-Boroujeni A, Kelishadi R. Clinical information seeking behavior of physicians: a systematic review. Int J Med Inform. Jul 2020;139:104144. [CrossRef] [Medline]
    17. Mold JW, Aspy CB, Smith PD, Zink T, Knox L, Lipman PD, et al. Leveraging practice-based research networks to accelerate implementation and diffusion of chronic kidney disease guidelines in primary care practices: a prospective cohort study. Implement Sci. Nov 23, 2014;9(1):169. [FREE Full text] [CrossRef] [Medline]
    18. Greenhalgh T, Robert G, Macfarlane F, Bate P, Kyriakidou O. Diffusion of innovations in service organizations: systematic review and recommendations. Milbank Q. 2004;82(4):581-629. [FREE Full text] [CrossRef] [Medline]
    19. Connor L, Dean J, McNett M, Tydings DM, Shrout A, Gorsuch PF, et al. Evidence-based practice improves patient outcomes and healthcare system return on investment: findings from a scoping review. Worldviews Evid Based Nurs. Feb 08, 2023;20(1):6-15. [CrossRef] [Medline]
    20. Walters JK, Sharma A, Malica E, Harrison R. Supporting efficiency improvement in public health systems: a rapid evidence synthesis. BMC Health Serv Res. Mar 03, 2022;22(1):293. [FREE Full text] [CrossRef] [Medline]
    21. Schwalm J, McKee M, Huffman MD, Yusuf S. Resource effective strategies to prevent and treat cardiovascular disease. Circulation. Feb 23, 2016;133(8):742-755. [CrossRef]
    22. Ghimire B, Sakiewicz AJ. Management of cardiovascular and diabetes risks based on national guidelines. StatPearls. URL: https://www.ncbi.nlm.nih.gov/books/NBK580534/ [accessed 2024-03-04]
    23. Berwick DM. Disseminating innovations in health care. JAMA. Apr 16, 2003;289(15):1969-1975. [CrossRef] [Medline]
    24. Nix M, McNamara P, Genevro J, Vargas N, Mistry K, Fournier A, et al. Learning collaboratives: insights and a new taxonomy from AHRQ's two decades of experience. Health Aff (Millwood). Feb 2018;37(2):205-212. [CrossRef] [Medline]
    25. Zeledon I, West A, Antony V, Telles V, Begay C, Henderson B, et al. Statewide collaborative partnerships among American Indian and Alaska native (AI/AN) communities in California to target the opioid epidemic: preliminary results of the tribal medication assisted treatment (MAT) key informant needs assessment. J Subst Abuse Treat. Jan 2020;108:9-19. [CrossRef] [Medline]

    ‎
    Cardi-OH: Ohio Cardiovascular and Diabetes Health Collaborative
    CGM: continuous glucose monitoring
    CVD: cardiovascular disease
    DSMES: diabetes self-management education and support
    ECHO: Extension for Community Healthcare Outcomes
    ODM: Ohio Department of Medicaid
    REDCap: Research Electronic Data Capture
    SDoH: social determinant of health

    Edited by A Mavragani; submitted 11.12.23; peer-reviewed by X Jing, M Nix; comments to author 25.01.24; revised version received 14.02.24; accepted 23.02.24; published 12.04.24.

    Copyright

    ©Elizabeth A Beverly, Sarah Koopman-Gonzalez, Jackson Wright, Kathleen Dungan, Harini Pallerla, Rose Gubitosi-Klug, Kristin Baughman, Michael W Konstan, Shari D Bolen. Originally published in JMIR Formative Research (https://formative.jmir.org), 12.04.2024.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.