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Frimpong JA, Liu X, Liu L, Zhang R. Adoption of Electronic Health Record Among Substance Use Disorder Treatment Programs: Nationwide Cross-Sectional Survey Study. J Med Internet Res 2023; 25:e45238. [PMID: 38096006 PMCID: PMC10755658 DOI: 10.2196/45238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 10/20/2023] [Accepted: 11/22/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Electronic health record (EHR) systems have been shown to be associated with improvements in care processes, quality of care, and patient outcomes. EHR also has a crucial role in the delivery of substance use disorder (SUD) treatment and is considered important for addressing SUD crises, including the opioid epidemic. However, little is known about the adoption of EHR in SUD treatment programs or the organizational-level factors associated with the adoption of EHR in SUD treatment. OBJECTIVE We examined the adoption of EHR in SUD programs, with a focus on changes in adoption from 2014 to 2017, and identified organizational-level factors associated with EHR adoption. METHODS We used data from the 2014 and 2017 National Drug Abuse Treatment System Surveys. Our analysis included 1027 SUD programs (531 in 2014 and 496 in 2017). We used chi-square and Mann-Whitney U tests for categorical and continuous variables, respectively, to assess changes in EHR adoption, technology use, program, and client characteristics. We also investigated differences in characteristics and barriers to adoption by EHR adoption status (adopted EHR vs had not adopted or were planning to adopt EHR). We then conducted multivariate logistic regressions to examine internal and external factors associated with EHR adoption. RESULTS The adoption of EHR increased significantly from 57.6% (306/531) in 2014 to 69.2% (343/496) in 2017 (P<.001), showing that nearly one-third (153/496, 30.8%) of SUD programs had not yet adopted an EHR system by 2017. We identified a significant increase in technology use and ownership by a parent company (P=.01 and P<.001) and a decrease in the percentage of uninsured patients in 2017 (P<.001), compared to 2014. Our analysis further showed significant differences by adoption status for three major barriers to adoption: (1) start-up costs, (2) ongoing financial costs, and (3) privacy or security concerns (P<.001). Programs that used computerized scheduling (adjusted odds ratio [AOR] 3.02, 95% CI 2.23-4.09) and billing systems (AOR 2.29, 95% CI 1.62-3.25) were more likely to adopt EHR. Similarly, ownership type, such as private nonprofit (AOR 1.86, 95% CI 1.31-2.65) and public (AOR 2.14, 95% CI 1.27-3.67), or interest in participating in a patient-centered medical home (AOR 1.93, 95% CI 1.29-2.92), were associated with an increased likelihood to adopt EHR. Overall, SUD programs were more likely to adopt an EHR system in 2017 compared to 2014 (AOR 1.44, 95% CI 1.07-1.94). CONCLUSIONS Our findings highlighted that SUD programs may be on track to achieve widespread EHR adoption. However, there is a need for focused strategies, resources, and policies explicitly designed to systematically address barriers and tackle obstacles to expanding the adoption of EHR systems. These efforts must be holistic and address factors at multiple organizational levels.
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Affiliation(s)
| | - Xun Liu
- New York University, New York, NY, United States
| | - Lingrui Liu
- Agency for Healthcare Research and Quality, US Department of Health and Human Services, Rockville, MD, United States
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Walker DM, Tarver WL, Jonnalagadda P, Ranbom L, Ford EW, Rahurkar S. Perspectives on Challenges and Opportunities for Interoperability: Findings From Key Informant Interviews With Stakeholders in Ohio. JMIR Med Inform 2023; 11:e43848. [PMID: 36826979 PMCID: PMC10007006 DOI: 10.2196/43848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 01/11/2023] [Accepted: 01/19/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Interoperability-the exchange and integration of data across the health care system-remains a challenge despite ongoing policy efforts aimed at promoting interoperability. OBJECTIVE This study aimed to identify current challenges and opportunities to advancing interoperability across stakeholders. METHODS Primary data were collected through qualitative, semistructured interviews with stakeholders (n=24) in Ohio from July to October 2021. Interviewees were sampled using a stratified purposive sample of key informants from 4 representative groups as follows: acute care and children's hospital leaders, primary care providers, behavioral health providers, and regional health information exchange networks. Interviews focused on key informant perspectives on electronic health record implementation, the alignment of public policy with organizational strategy, interoperability implementation challenges, and opportunities for health information technology. The interviews were transcribed verbatim followed by rigorous qualitative analysis using directed content analysis. RESULTS The findings illuminate themes related to challenges and opportunities for interoperability that align with technological (ie, implementation challenges, mismatches in interoperability capabilities across stakeholders, and opportunities to leverage new technology and integrate social determinants of health data), organizational (ie, facilitators of interoperability and strategic alignment of participation in value-based payment programs with interoperability), and environmental (ie, policy) domains. CONCLUSIONS Interoperability, although technically feasible for most providers, remains challenging for technological, organizational, and environmental reasons. Our findings suggest that the incorporation of end user considerations into health information technology development, implementation, policy, and standard deployment may support interoperability advancement.
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Affiliation(s)
- Daniel M Walker
- Department of Family and Community Medicine, College of Medicine, The Ohio State University, Columbus, OH, United States.,The Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Willi L Tarver
- The Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH, United States.,Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Pallavi Jonnalagadda
- The Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Lorin Ranbom
- Government Resource Center, College of Medicine, The Ohio State University, Columbus, OH, United States
| | - Eric W Ford
- Department of Healthcare Organization and Policy, School of Public Health, University of Alabama, Birmingham, AL, United States
| | - Saurabh Rahurkar
- The Center for the Advancement of Team Science, Analytics, and Systems Thinking, College of Medicine, The Ohio State University, Columbus, OH, United States.,Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, United States
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Frimpong JA, Guerrero EG, Kong Y, Khachikian T, Wang S, D'Aunno T, Howard DL. Predicting and responding to change: Perceived environmental uncertainty among substance use disorder treatment programs. JOURNAL OF SUBSTANCE USE AND ADDICTION TREATMENT 2023; 145:208947. [PMID: 36880916 DOI: 10.1016/j.josat.2022.208947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 10/03/2022] [Accepted: 11/29/2022] [Indexed: 01/09/2023]
Abstract
INTRODUCTION Substance use disorder (SUD) treatment programs offering addiction health services (AHS) must be prepared to adapt to change in their operating environment. These environmental uncertainties may have implications for service delivery, and ultimately patient outcomes. To adapt to a multitude of environmental uncertainties, treatment programs must be prepared to predict and respond to change. Yet, research on treatment programs preparedness for change is sparse. We examined reported difficulties in predicting and responding to changes in the AHS system, and factors associated with these outcomes. METHODS Cross-sectional surveys of SUD treatment programs in the United States in 2014 and 2017. We used linear and ordered logistic regression to examine associations between key independent variables (e.g., program, staff, and client characteristics) and four outcomes, (1) reported difficulties in predicting change, (2) predicting effect of change on organization, (3) responding to change, and (4) predicting changes to make to respond to environmental uncertainties. Data were collected through telephone surveys. RESULTS The proportion of SUD treatment programs reporting difficulty predicting and responding to changes in the AHS system decreased from 2014 to 2017. However, a considerable proportion still reported difficulty in 2017. We identified that different organizational characteristics are associated with their reported ability to predict or respond to environmental uncertainty. Findings show that predicting change is significantly associated with program characteristics only, while predicting effect of change on organizations is associated with program and staff characteristics. Deciding how to respond to change is associated with program, staff, and client characteristics, while predicting changes to make to respond is associated with staff characteristics only. CONCLUSIONS Although treatment programs reported decreased difficulty predicting and responding to changes, our findings identify program characteristics and attributes that could better position programs with the foresight to more effectively predict and respond to uncertainties. Given resource constraints at multiple levels in treatment programs, this knowledge might help identify and optimize aspects of programs to intervene upon to enhance their adaptability to change. These efforts may positively influences processes or care delivery, and ultimately translate into improvements in patient outcomes.
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Affiliation(s)
| | - Erick G Guerrero
- Research to End Healthcare Disparities Corp., United States of America
| | - Yinfei Kong
- California State University, Fullerton, United States of America.
| | | | - Suojin Wang
- Texas A&M University, United States of America.
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Siddiqi AD, Britton M, Chen TA, Carter BJ, Wang C, Martinez Leal I, Rogova A, Kyburz B, Williams T, Patel M, Reitzel LR. Tobacco Screening Practices and Perceived Barriers to Offering Tobacco Cessation Services among Texas Health Care Centers Providing Behavioral Health Treatment. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9647. [PMID: 35955001 PMCID: PMC9367734 DOI: 10.3390/ijerph19159647] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 07/28/2022] [Accepted: 08/03/2022] [Indexed: 05/11/2023]
Abstract
Tobacco use, and thus tobacco-related morbidity, is elevated amongst patients with behavioral health treatment needs. Consequently, it is important that centers providing health care to this group mandate providers' use of tobacco screenings to inform the need for tobacco use disorder intervention. This study examined the prevalence of mandated tobacco screenings in 80 centers providing health care to Texans with behavioral health needs, examined key factors that could enhance screening conduct, and delineated providers' perceived barriers to tobacco use intervention provision. The results indicated that 80% of surveyed centers mandated tobacco use screenings; those that did were significantly more likely than those that did not to have a hard stop for tobacco use status in health records and were marginally more likely to make training on tobacco screening available to providers. The most widespread barriers to tobacco use disorder care provision were relative perceived importance of competing diagnoses, lack of community resources to refer patients, perceived lack of time, lack of provider knowledge or confidence, and belief that patients do not comply with cessation treatment. Overall, the results suggest that there are opportunities for centers providing care to Texans with behavioral health needs to bolster their tobacco screening and intervention capacity to better address tobacco-related health disparities in this group. Health care centers can support their providers to intervene in tobacco use by mandating screenings, streamlining clinical workflows with hard stops in patient records, and educating providers about the importance of treating tobacco with brief evidence-based intervention strategies while providing accurate information about patients' interest in quitting and providers' potential impacts on a successful quit attempt.
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Affiliation(s)
- Ammar D. Siddiqi
- Department of Biosciences, Rice University, 6100 Main St., Houston, TX 77005, USA
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204, USA
| | - Maggie Britton
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204, USA
- Health Research Institute, The University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA
| | - Tzuan A. Chen
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204, USA
- Health Research Institute, The University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA
| | - Brian J. Carter
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204, USA
- Health Research Institute, The University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA
| | - Carol Wang
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204, USA
- Department of Health Disparities Research, MD Anderson Cancer Center, Houston, TX 77230, USA
| | - Isabel Martinez Leal
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204, USA
- Health Research Institute, The University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA
| | - Anastasia Rogova
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204, USA
- Health Research Institute, The University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA
| | - Bryce Kyburz
- Integral Care, 1430 Collier St., Austin, TX 78704, USA
| | | | - Mayuri Patel
- Department of State Health Services, Tobacco Prevention and Control Branch, Austin, TX 78714, USA
| | - Lorraine R. Reitzel
- Department of Psychological, Health & Learning Sciences, The University of Houston, 3657 Cullen Blvd Stephen Power Farish Hall, Houston, TX 77204, USA
- Health Research Institute, The University of Houston, 4349 Martin Luther King Blvd, Houston, TX 77204, USA
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