scholarly journals A pilot study of the functionality and clinician acceptance of a clinical decision support tool to improve primary care of opioid use disorder

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Rebecca C. Rossom ◽  
JoAnn M. Sperl-Hillen ◽  
Patrick J. O’Connor ◽  
A. Lauren Crain ◽  
Laurel Nightingale ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Decision ◽  
Primary Care Providers ◽  
Opioid Use Disorder ◽  
Care Providers ◽  
Opioid Use ◽  
Convenience Sample ◽  
Increased Risk

Abstract Objective Most Americans with opioid use disorder (OUD) do not receive indicated medical care. A clinical decision support (CDS) tool for primary care providers (PCPs) could address this treatment gap. Our primary objective was to build OUD-CDS tool and demonstrate its functionality and accuracy. Secondary objectives were to achieve high use and approval rates and improve PCP confidence in diagnosing and treating OUD. Methods A convenience sample of 55 PCPs participated. Buprenorphine-waivered PCPs (n = 8) were assigned to the intervention. Non-waivered PCPs (n = 47) were randomized to intervention (n = 24) or control (n = 23). Intervention PCPs received access to the OUD-CDS, which alerted them to patients at potentially increased risk for OUD or overdose and guided diagnosis and treatment. Control PCPs provided care as usual. Results The OUD-CDS was functional and accurate following extensive multi-phased testing. PCPs used the OUD-CDS in 5% of encounters with at-risk patients, far less than the goal of 60%. OUD screening confidence increased for all intervention PCPs and OUD diagnosis increased for non-waivered intervention PCPs. Most PCPs (65%) would recommend the OUD-CDS and found it helpful with screening for OUD and discussing and prescribing OUD medications. Discussion PCPs generally liked the OUD-CDS, but use rates were low, suggesting the need to modify CDS design, implementation strategies and integration with existing primary care workflows. Conclusion The OUD-CDS tool was functional and accurate, but PCP use rates were low. Despite low use, the OUD-CDS improved confidence in OUD screening, diagnosis and use of buprenorphine. NIH Trial registration NCT03559179. Date of registration: 06/18/2018. URL: https://clinicaltrials.gov/ct2/show/NCT03559179

scholarly journals Clinical Decision Support for Worker Health: A Five-Site Qualitative Needs Assessment in Primary Care Settings

2020 ◽  
Vol 11 (04) ◽  
pp. 635-643
Author(s):  
Joan S. Ash ◽  
Dian Chase ◽  
Sherry Baron ◽  
Margaret S. Filios ◽  
Richard N. Shiffman ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Decision ◽  
Primary Care Providers ◽  
Care Providers ◽  
Technical Feasibility ◽  
Primary Care Settings ◽  
Worker Health ◽  
Operational Issues

Abstract Background Although patients who work and have related health issues are usually first seen in primary care, providers in these settings do not routinely ask questions about work. Guidelines to help manage such patients are rarely used in primary care. Electronic health record (EHR) systems with worker health clinical decision support (CDS) tools have potential for assisting these practices. Objective This study aimed to identify the need for, and barriers and facilitators related to, implementation of CDS tools for the clinical management of working patients in a variety of primary care settings. Methods We used a qualitative design that included analysis of interview transcripts and observational field notes from 10 clinics in five organizations. Results We interviewed 83 providers, staff members, managers, informatics and information technology experts, and leaders and spent 35 hours observing. We identified eight themes in four categories related to CDS for worker health (operational issues, usefulness of proposed CDS, effort and time-related issues, and topic-specific issues). These categories were classified as facilitators or barriers to the use of the CDS tools. Facilitators related to operational issues include current technical feasibility and new work patterns associated with the coordinated care model. Facilitators concerning usefulness include users' need for awareness and evidence-based tools, appropriateness of the proposed CDS for their patients, and the benefits of population health data. Barriers that are effort-related include additional time this proposed CDS might take, and other pressing organizational priorities. Barriers that are topic-specific include sensitive issues related to health and work and the complexities of information about work. Conclusion We discovered several themes not previously described that can guide future CDS development: technical feasibility of the proposed CDS within commercial EHRs, the sensitive nature of some CDS content, and the need to assist the entire health care team in managing worker health.

scholarly journals Live Usability Testing of Two Complex Clinical Decision Support Tools: Observational Study (Preprint)

2018 ◽  
Author(s):  
Safiya Richardson ◽  
David Feldstein ◽  
Thomas McGinn ◽  
Linda S Park ◽  
Sundas Khan ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Observational Study ◽  
Clinical Decision Support ◽  
Usability Testing ◽  
Clinical Decision ◽  
Primary Care Providers ◽  
Chief Complaint ◽  
Care Providers ◽  
Clinical Environment

BACKGROUND Potential of the electronic health records (EHR) and clinical decision support (CDS) systems to improve the practice of medicine has been tempered by poor design and the resulting burden they place on providers. CDS is rarely tested in the real clinical environment. As a result, many tools are hard to use, placing strain on providers and resulting in low adoption rates. The existing CDS usability literature relies primarily on expert opinion and provider feedback via survey. This is the first study to evaluate CDS usability and the provider-computer-patient interaction with complex CDS in the real clinical environment. OBJECTIVE This study aimed to further understand the barriers and facilitators of meaningful CDS usage within a real clinical context. METHODS This qualitative observational study was conducted with 3 primary care providers during 6 patient care sessions. In patients with the chief complaint of sore throat, a CDS tool built with the Centor Score was used to stratify the risk of group A Streptococcus pharyngitis. In patients with a chief complaint of cough or upper respiratory tract infection, a CDS tool built with the Heckerling Rule was used to stratify the risk of pneumonia. During usability testing, all human-computer interactions, including audio and continuous screen capture, were recorded using the Camtasia software. Participants’ comments and interactions with the tool during clinical sessions and participant comments during a postsession brief interview were placed into coding categories and analyzed for generalizable themes. RESULTS In the 6 encounters observed, primary care providers toggled between addressing either the computer or the patient during the visit. Minimal time was spent listening to the patient without engaging the EHR. Participants mostly used the CDS tool with the patient, asking questions to populate the calculator and discussing the results of the risk assessment; they reported the ability to do this as the major benefit of the tool. All providers were interrupted during their use of the CDS tool by the need to refer to other sections of the chart. In half of the visits, patients’ clinical symptoms challenged the applicability of the tool to calculate the risk of bacterial infection. Primary care providers rarely used the incorporated incentives for CDS usage, including progress notes and patient instructions. CONCLUSIONS Live usability testing of these CDS tools generated insights about their role in the patient-provider interaction. CDS may contribute to the interaction by being simultaneously viewed by the provider and patient. CDS can improve usability and lessen the strain it places on providers by being short, flexible, and customizable to unique provider workflow. A useful component of CDS is being as widely applicable as possible and ensuring that its functions represent the fastest way to perform a particular task.

scholarly journals Genomic decision support needs in pediatric primary care

2017 ◽  
Vol 24 (4) ◽  
pp. 851-856 ◽  
Author(s):  
Jeffrey W Pennington ◽  
Dean J Karavite ◽  
Edward M Krause ◽  
Jeffrey Miller ◽  
Barbara A Bernhardt ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Decision ◽  
Primary Care Providers ◽  
Pediatric Primary Care ◽  
Care Providers ◽  
Further Development

Abstract Clinical genome and exome sequencing can diagnose pediatric patients with complex conditions that often require follow-up care with multiple specialties. The American Academy of Pediatrics emphasizes the role of the medical home and the primary care pediatrician in coordinating care for patients who need multidisciplinary support. In addition, the electronic health record (EHR) with embedded clinical decision support is recognized as an important component in providing care in this setting. We interviewed 6 clinicians to assess their experience caring for patients with complex and rare genetic findings and hear their opinions about how the EHR currently supports this role. Using these results, we designed a candidate EHR clinical decision support application mock-up and conducted formative exploratory user testing with 26 pediatric primary care providers to capture opinions on its utility in practice with respect to a specific clinical scenario. Our results indicate agreement that the functionality represented by the mock-up would effectively assist with care and warrants further development.

scholarly journals Creation of an algorithm for clinical decision support for treatment of opioid use disorder with buprenorphine in primary care

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Adriane M. dela Cruz ◽  
Robrina Walker ◽  
Ronny Pipes ◽  
Sidarth Wakhlu ◽  
Madhukar H. Trivedi
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Medication Adherence ◽  
Clinical Decision Support ◽  
Universal Screening ◽  
Clinical Decision ◽  
Opioid Use Disorder ◽  
Expert Consensus ◽  
Opioid Use ◽  
Number Of Patients

Abstract Background The treatment capacity for opioid use disorder (OUD) lags far behind the number of patients in need of treatment. Capacity is limited, in part, by the limited number of physicians who offer office based OUD treatment with buprenorphine. Measurement based care (MBC) has been proposed as a means to support primary care physicians in treating OUD. Here, we propose a set of measures and a clinical decision support algorithm to provide MBC for the treatment of OUD. Methods We utilized literature search and expert consensus to identify measures for universal screening and symptom tracking. We used expert consensus to create the clinical decision support algorithm. Results The Tobacco, Alcohol, Prescription medication, and other Substance use (TAPS) tool was selected as the best published measure for universal screening in primary care. No published measure was identified as appropriate for symptom tracking or medication adherence; therefore, we created the OUD Symptom Checklist from the DSM-5 criteria for OUD and the Patient Adherence Questionnaire for Opioid Use Disorder Treatment (PAQ-OUD) to assess medication adherence. We developed and present a clinical decision support algorithm to provide direct guidance regarding treatment interventions during the first 12 weeks of buprenorphine treatment. Conclusion Creation of these tools is the necessary first step for implementation of MBC for the treatment of OUD with buprenorphine in primary care. Further work is needed to test the feasibility and acceptability of these tools. Trial Registration ClinicalTrials.gov; NCT04059016; 16 August 2019; retrospectively registered; https://clinicaltrials.gov/ct2/show/NCT04059016

scholarly journals Sustaining Use of a Clinical Decision Support Tool for Primary Care Providers

2015 ◽  
Vol 2 (2) ◽  
pp. 116
Author(s):  
A. L. Crain ◽  
JoAnn M Sperl-Hillen ◽  
Heidi L Ekstrom ◽  
Patrick J O'Connor ◽  
Karen L Margolis ◽  
...  
Keyword(s):  
Primary Care ◽  
Decision Support ◽  
Clinical Decision Support ◽  
Decision Support Tool ◽  
Clinical Decision ◽  
Primary Care Providers ◽  
Care Providers ◽  
Support Tool ◽  
Clinical Decision Support Tool

Primary Care of Opioid use Disorder: The End of “the French Model”?

2020 ◽  
Vol 26 (6) ◽  
pp. 346-354 ◽  
Author(s):  
Julie Dupouy ◽  
Sandy Maumus-Robert ◽  
Yohann Mansiaux ◽  
Antoine Pariente ◽  
Maryse Lapeyre-Mestre
Keyword(s):  
Primary Care ◽  
Private Practice ◽  
Primary Care Providers ◽  
Opioid Use Disorder ◽  
Care Providers ◽  
Opioid Use ◽  
Access To Treatment ◽  
Cross Sectional ◽  
Number Of Patients ◽  
French Model

<b><i>Background:</i></b> In France, most patients with opioid use disorder (OUD) have been treated by buprenorphine, prescribed by general practitioners (GP) in private practice since 1996. This has contributed to building a ‘French model’ facilitating access to treatment based on the involvement of GPs in buprenorphine prescription. <b><i>Objectives:</i></b> Our study aimed to assess whether the involvement of primary care in OUD management has changed lately. <b><i>Materials and Methods:</i></b> Using data from the French National Health Insurance database, we conducted a yearly repeated cross-sectional study (2009–2015) and described proportion of opioid maintenance treatment (OMT)-prescribing GPs and OMT-dispensing community pharmacies (CP); and number of patients by GP or CP. <b><i>Results:</i></b> Whereas the number of buprenorphine-prescribing GPs in private practice remained quite stable (decrease of 3%), a substantial decrease in buprenorphine initial prescribers among private GPs was observed. In 2009, 10.3% of private GPs (6,297 from 61,301 French private GPs) prescribed buprenorphine for the initiation of a treatment, whereas they were 5.7% (<i>n</i> = 3,539 from 62,071 private GPs) in 2015 (43.8% decrease). GPs issuing initial prescriptions of buprenorphine tended to care for a higher number of patients treated by buprenorphine (14.6 ± 27.1 patients in 2009 to 16.0 ± 35.4 patients in 2015). The number of CPs dispensing buprenorphine remained quite stable (decrease of 2%), while there was a 7.5% decrease in the total number of French CPs across the study period. <b><i>Conclusions:</i></b> Our results suggest that primary care providers seem less engaged in buprenorphine initiation in OUD patients, while CPs have not modified their involvement towards these patients.

Facilitators and barriers to utilization of medications for opioid use disorder in primary care in South Carolina

2020 ◽  
Vol 56 (1) ◽  
pp. 14-39
Author(s):  
Sarah M Oros ◽  
Lillian M Christon ◽  
Kelly S Barth ◽  
Carole R Berini ◽  
Bennie L Padgett ◽  
...  
Keyword(s):  
Primary Care ◽  
South Carolina ◽  
Focus Group ◽  
Primary Care Providers ◽  
Opioid Use Disorder ◽  
Care Providers ◽  
Opioid Use ◽  
Focus Group Interviews ◽  
Facilitators And Barriers ◽  
Group Interviews

Objective Utilization of medications for opioid use disorder (MOUD) has not been widely adopted by primary care providers. This study sought to identify interprofessional barriers and facilitators for use of MOUD (specifically naltrexone and buprenorphine) among current and future primary care providers in a southeastern academic center in South Carolina. Method Faculty, residents, and students within family medicine, internal medicine, and a physician assistant program participated in focus group interviews, and completed a brief survey. Survey data were analyzed quantitatively, and focus group transcripts were analyzed using a deductive qualitative content analysis, based upon the theory of planned behavior. Results Seven groups ( N = 46) completed focus group interviews and surveys. Survey results indicated that general attitudes towards MOUD were positive and did not differ significantly among groups. Subjective norms around prescribing and controllability (i.e., beliefs about whether prescribing was up to them) differed between specialties and between level of training groups. Focus group themes highlighted attitudes about MOUD (e.g., “opens the flood gates” to patients with addiction) and perceived facilitators and barriers of using MOUD in primary care settings. Participants felt that although MOUD in primary care would improve access and reduce stigma for patients, prescribing requires improved provider education and an integrated system of care. Conclusions The results of this study provide an argument for tailoring education to specifically address the barriers primary care prescribers perceive. Results promote the utilization of active, hands-on learning approaches, to ultimately promote uptake of MOUD prescribing in the primary care setting in South Carolina.

scholarly journals Computerized Clinical Decision Support System for Emergency Department–Initiated Buprenorphine for Opioid Use Disorder: User-Centered Design (Preprint)

2018 ◽  
Author(s):  
Jessica M Ray ◽  
Osama M Ahmed ◽  
Yauheni Solad ◽  
Matthew Maleska ◽  
Shara Martel ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Emergency Care ◽  
Clinical Decision ◽  
Opioid Use Disorder ◽  
Care Pathways ◽  
User Centered Design ◽  
Opioid Use ◽  
Prototype Development ◽  
User Centered

BACKGROUND Emergency departments (EDs) frequently care for individuals with opioid use disorder (OUD). Buprenorphine (BUP) is an effective treatment option for patients with OUD that can safely be initiated in the ED. At present, BUP is rarely initiated as a part of routine ED care. Clinical decision support (CDS) could accelerate adoption of ED-initiated BUP into routine emergency care. OBJECTIVE This study aimed to design and formatively evaluate a user-centered decision support tool for ED initiation of BUP for patients with OUD. METHODS User-centered design with iterative prototype development was used. Initial observations and interviews identified workflows and information needs. The design team and key stakeholders reviewed prototype designs to ensure accuracy. A total of 5 prototypes were evaluated and iteratively refined based on input from 26 attending and resident physicians. RESULTS Early feedback identified concerns with the initial CDS design: an alert with several screens. The timing of the alert led to quick dismissal without using the tool. User feedback on subsequent iterations informed the development of a flexible tool to support clinicians with varied levels of experience with the intervention by providing both one-click options for direct activation of care pathways and user-activated support for critical decision points. The final design resolved challenging navigation issues through targeted placement, color, and design of the decision support modules and care pathways. In final testing, users expressed that the tool could be easily learned without training and was reasonable for use during routine emergency care. CONCLUSIONS A user-centered design process helped designers to better understand users’ needs for a Web-based clinical decision tool to support ED initiation of BUP for OUD. The process identified varying needs across user experience and familiarity with the protocol, leading to a flexible design supporting both direct care pathways and user-initiated decision support.

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