Electronic Health Record Functionality Research Articles

Electronic Health Record Adoption in Oral and Dental Health Centres in Turkey

The digitalisation studies in public hospitals in Turkey started with the Health Transformation Program in 2003. The Ministry of Health has been measuring the dissemination of meaningful usage and adoption of electronic health record (EHR) using Electronic Medical Record Adoption Model (EMRAM) and Outpatient Electronic Medical Record Adoption Model (O-EMRAM). Using a comprehensive survey, our study intends to measure the stage of EHR adoption in oral and dental health centres (ODHCs) providing primary healthcare services in Turkey. The results obtained were classified by basic and comprehensive EHR functions and benchmarked against the studies addressing EHR adoption in primary healthcare institutions of other countries. In 2021, 167 ODHCs/oral and dental health hospitals (ODHHs) actively operating in Turkey completed the O-EMRAM survey. The data obtained from the survey results were analysed with QlikView Personal Edition. The availability and prevalence of medical information systems and EHR functions and their use were measured. It is observed that 59 (40.7%) of ODHCs/ODHHs have comprehensive EHR functions, while the remaining 86 (59.3%) have basic EHR functions. Under these circumstances, it can be stated that all ODHCs/ODHHs in Turkey use at least basic EHR functions. All ODHCs/ODHHs in Turkey have at least basic EHR functions. The integration of e-prescription, electronic authorisation system and e-Pulse used throughout Turkey and Health Information Management System Society (HIMSS) used in ODHCs/ODHHs can be listed as one of the decisive factors in this result. ODHCs/ODHHs still have a long way to go in adopting EHR, but the current circumstances are also promising. It is considered that this study will serve as a baseline for future measurements and produce a notable result for decision-makers.

An age-friendly approach to primary care in an academic health system.

Age-friendly care, addressing what matters most, medications, mentation, and mobility, is a successful model for improving older adult care. We describe the initial outcomes of age-friendly care implementation in five primary care clinics in an academic health system. In partnership with a regional quality improvement (QI) organization, we used practice facilitation to implement age-friendly care from July 2020 to June 2023. Clinic workflows and electronic health record (EHR) templates were modified to capture six QI measures for patients ≥65 years: Documenting what matters most to patients Advance care planning (ACP) Annual cognitive screening Caregiver referral to dementia community resources Fall-risk screening Co-prescription of opioid and sedative-hypnotic drugs Providers were alerted if patients had positive screens and given support tools for clinical decision-making. QI measures from January-June 2023 were compared to the year prior to implementation. Providers and staff were interviewed about implementation barriers and facilitators. All six measures improved in Geriatrics and and other clinics showed improvement in ACP and cognitive screening. All clinics had high fall-risk screening rates (≥85%). The least improved measure was co-prescription of opioids and sedative-hypnotics with co-prescription rates ranging from 7% to 39%. Implementation hinged on leadership prioritization, practice facilitator guidance, clinical team buy-in, EHR functionality, and clinical performance review. Three clinics received Age-Friendly Health System recognition. A QI approach using practice facilitation and EHR templates improved some but not all age-friendly care measures. Future interventions will focus on training in high-risk medication tapering and elicitation of health goals.

Electronic Health Record Usability When Caring for Children With Medical Complexity.

To evaluate usability of and clinician satisfaction with the electronic health record (EHR) in the context of caring for children with medical complexity (CMC) at a large academic pediatric hospital and to identify key areas for targeted improvements. Cross-sectional study of pediatric faculty and advanced practice providers across several pediatric specialties using an online Research Electronic Data Capture survey. EHR usability was measured with 6 validated questions from the National Usability-Focused Health Information System Scale, and satisfaction with common EHR functionalities was measured with 6 original Likert-scale questions and 3 free-text questions. Results were analyzed with bivariate testing. More than half of providers completed the survey (n = 81, response rate 56%). When asked 6 positively-phrased, validated usability questions, a majority of respondents either agreed or were neutral. Respondents were most dissatisfied with information quality of the summary view and most satisfied with physician communication. Older respondents were less satisfied with EHR usability (P < .01). Focusing on functionalities needed for CMC, the majority of respondents were dissatisfied with the chart review process. More respondents were dissatisfied with order entry (P = .002) and documentation (P = .017) when caring for CMC compared with caring for other patients. The most cited challenges were locating recent patient data, performing an accurate medication reconciliation, and lack of specialized documentation templates. Clinicians are less satisfied with common EHR functionalities when caring for CMC compared with caring for all other patients. Targeted interventions to improve usability and common EHR functionalities for CMC are necessary to improve the user experience.

Making the EHR Work for You-Modifications of an Electronic Health Record System to Improve Tracking and Management of Patients Receiving Outpatient Parenteral Antibiotic Therapy.

Managing the complex needs of outpatient parenteral antibiotic therapy (OPAT) patients is challenging and time-consuming. We describe development of multimodal interventions to facilitate patient management within an Epic® (Epic Systems Corporation)-based electronic health record (EHR) platform. During 2016-2018, a multidisciplinary team created several modifications in our local EHR to improve gaps in OPAT care, including shared note templates, shared patient lists, automatically triggered notifications, and comprehensive order sets. A SmartForm was created, allowing collection of discrete, self-contained extractable data about each OPAT episode. We reviewed OPAT episodes from January 2019 through December 2022. The multimodal EHR interventions culminated in the creation of a patient report, the "OPAT Monitoring View" collating OPAT-relevant data from multiple sections of the chart onto 1 screen display. This view is accessible both within the patient chart and from multiple list-based, in-basket, and snapshot-anchored preview functions in the EHR. Implementation of the EHR bundle facilitated management of 3402 OPAT episodes from 2019 to 2022 (850 episodes/year), about 50% higher than anticipated based on 540 OPAT courses in 2016. The OPAT EHR bundle allowed efficient (<3 hours) multidisciplinary rounds for management of 130-145 patients each week, streamlining of care transitions, and increasing staff satisfaction. Bundled multimodal modifications to the local EHR increased patient care efficiency and staff satisfaction and facilitated data collection to support a large OPAT program. These modifications apply commonly available EHR functionalities to OPAT care and could be adapted to other settings with different EHR platforms.

Electronic health record and primary care physician self-reported quality of care: a multilevel study in China

ABSTRACT Background Health information technology is one of the building blocks of a high-performing health system. However, the evidence regarding the influence of an electronic health record (EHR) on the quality of care remains mixed, especially in low- and middle-income countries. Objective This study examines the association between greater EHR functionality and primary care physician self-reported quality of care. Methods A total of 224 primary care physicians from 38 community health centres (CHCs) in four large Chinese cities participated in a cross-sectional survey to assess CHC care quality. Each CHC director scored their CHC’s EHR functionality on the availability of ten typical features covering health information, data, results management, patient access, and clinical decision support. Data analysis utilised hierarchical linear modelling. Results The availability of five EHR features was positively associated with physician self-reported clinical quality: share records online with providers outside the practice (β = 0.276, p = 0.04), access records online by the patient (β = 0.325, p = 0.04), alert provider of potential prescription problems (β = 0.353, p = 0.04), send the patient reminders for care (β = 0.419, p = 0.003), and list patients by diagnosis or health risk (β = 0.282, p = 0.04). However, no association was found between specific features availability or total features score and physician self-reported preventive quality. Conclusions This study provides evidence that the availability of EHR systems, and specific features of these systems, was positively associated with physician self-reported quality of care in these 38 CHCs. Future longitudinal studies focused on standardised quality metrics, and designed to control known confounding variables, will further inform quality improvement efforts in primary care.

Adolescent Privacy and the Electronic Health Record - Electronic Health Record Adolescent Confidentiality in a Safety Net Setting.

The 21st Century Cures Act provides improved access to one's medical record but presents new challenges to adolescent confidentiality in the domain of healthcare information technology. Adolescent patients, who have the right to confidential care in certain areas as dictated by state law, face the prospect of parents and guardians erroneously accessing their confidential health information. Our institution, the largest safety net hospital in our region, sought to quantify the proportion of adolescent patient portal accounts likely being accessed by guardians and to implement corrective measures for the patient portal sign-up process in our electronic health record (EHR) system. We manually reviewed our institution's adolescent patient portal accounts based on email addresses associated with adolescents' accounts. We implemented EHR changes to address the potential for breach of confidentiality as a result of adolescent patient portal account creation by parents/guardians. One intervention was creating a "guardrail rule" to prevent guardians from creating adolescent patient portal accounts with their own email addresses. After email reminders to adolescent patients to update their accounts, we deactivated accounts with concern for erroneous guardian access. Sixty percent of our institution's adolescent patient portal accounts had possible direct access by guardians. Following requests to update account access, 425 (18.8%) of accounts had email addresses updated by adolescent patients and 1830 (81.2%) accounts were deactivated. More nuanced EHR functionality for adolescent patients and their guardians can help healthcare systems provide confidential, patient-centered care for adolescents, while allowing guardians to access appropriate health information to facilitate care. There is an opportunity for a national consensus on how adolescents and their guardians can access health information by patient portal.

"Everything's so Role-Specific": VA Employee Perspectives' on Electronic Health Record (EHR) Transition Implications for Roles and Responsibilities.

Electronic health record (EHR) transitions are increasingly widespread and often highly disruptive. It is imperative we learn from past experiences to anticipate and mitigate such disruptions. Veterans Affairs (VA) is undergoing a large-scale transition from its homegrown EHR (CPRS/Vista) to a commercial EHR (Cerner), creating a unique opportunity of shedding light on large-scale EHR-to-EHR transition challenges. To explore one facet of the organizational impact of VA's EHR transition: its implications for employees' roles and responsibilities at the first VA site to implement Cerner Millennium EHR. As part of a formative evaluation of frontline staff experiences with VA's EHR transition, we conducted brief (~ 15min) and full-length interviews (~ 60min) with clinicians and staff at Mann-Grandstaff VA Medical Center in Spokane, WA, before, during, and after transition (July 2020-November 2021). We conducted 111 interviews with 26 Spokane clinicians and staff, recruited via snowball sampling. We conducted audio interviews using a semi-structured guide with grounded prompts. We coded interview transcripts using a priori and emergent codes, followed by qualitative content analysis. Unlike VA's previous EHR, Cerner imposes additional restrictions on access to its EHR functionality based upon "roles" assigned to users. Participants described a mismatch between established institutional duties and their EHR permissions, unanticipated changes in scope of duties brought upon by the transition, as well as impediments to communication and collaboration due to different role-based views. Health systems should anticipate substantive impacts on professional workflows when EHR role settings do not reflect prior workflows. Such changes may increase user error, dissatisfaction, and patient care disruptions. To mitigate employee dissatisfaction and safety risks, health systems should proactively plan for and communicate about expected modifications and monitor for unintended role-related consequences of EHR transitions, while vendors should ensure accurate role configuration and assignment.

Basic electronic health record (EHR) adoption in **Türkiye is nearly complete but challenges persist

BackgroundThe digitalization studies in public hospitals in Türkiye started with the Health Transformation Program in 2003. As digitalization was accomplished, the policymakers needed to measure hospitals’ electronic health record (EHR) usage and adoptions. The ministry of health has been measuring the dissemination of meaningful usage and adoption of EHR since 2013 using Electronic Medical Record Adoption Model (EMRAM). The first published study about this analysis covered the surveys applied between 2013 and 2017. The results showed that 63.1% of all hospitals in Türkiye had at least basic EHR functions, and 36% had comprehensive EHR functions. Measuring the countrywide EHR adoption level is becoming popular in the world. This study aims to measure adoption levels of EHR in public hospitals in Türkiye, indicate the change to the previous study, and make a benchmark with other countries measuring national EHR adoption levels. The research question of this study is to reveal whether there has been a change in the adoption level of EHR in the three years since 2018 in Türkiye. Also, make a benchmark with other countries such as the US, Japan, and China in country-wide EHR adoption in 2021.MethodsIn 2021, 717 public hospitals actively operating in Türkiye completed the EMRAM survey. The survey results, deals with five topics (General Stage Status, Information Technology Security, Electronic Health Record/Clinical Data Repository, Clinical Documentation, Closed-Loop Management), was reviewed by the authors. Survey data were compared according to hospital type (Specialty Hospitals, General Hospitals, Teaching and Research Hospitals) in terms of general stage status. The data obtained from the survey results were analyzed with QlikView Personal Edition. The availability and prevalence of medical information systems and EHR functions and their use were measured.ResultsWe found that 33.7% of public hospitals in Türkiye have only basic EHR functions, and 66.3% have extensive EHR functions, which yields that all hospitals (100%) have at least basic EHR functions. That means remarkable progress from the previous study covering 2013 and 2017. This level also indicates that Türkiye has slightly better adoption from the US (96%) and much better than China (85.3%) and Korea (58.1%).ConclusionsAlthough there has been outstanding (50%) progress since 2017 in Turkish public hospitals, it seems there is still a long way to disseminate comprehensive EHR functions, such as closed-loop medication administration, clinical decision support systems, patient engagement, etc. Measuring the stage of EHR adoption at regular intervals and on analytical scales is an effective management tool for policymakers. The bottom-up adoption approach established for adopting and managing EHR functions in the US has also yielded successful results in Türkiye.

Beyond the boundaries of care: Electronic health records and the changing practices of healthcare

Healthcare systems across the globe are riding a wave of clinical health IT investment, centered on electronic health records (EHR) systems. Supported by governmental incentives, this build-out has positioned the healthcare system for a period of transformation as EHR functionality has become ingrained in the work routines of healthcare providers and other system participants. We report on a field study of healthcare participants in the United States to explore the influence of EHR use on the boundaries and practices of the field. Our grounded theory analysis reveals the interplay between the field practices of individual communities and the boundary spanning practices that unite them. Through the adoption of a practice perspective, we highlight the changes to both boundary spanning and field practices engendered by enterprise EHR use and propose the complementary mechanisms of reticulation and boundary molding by which those changes emerge. We conclude with a consideration of the positive and potentially negative consequences of EHR use for delivery of healthcare services.

What's Next for Modernizing Gender, Sex, and Sexual Orientation Terminology in Digital Health Systems? Viewpoint on Research and Implementation Priorities.

In 2021, Canada Health Infoway and the University of Victoria's Gender, Sex, and Sexual Orientation Research Team hosted a series of discussions to successfully and safely modernize gender, sex, and sexual orientation information practices within digital health systems. Five main topic areas were covered: (1) terminology standards; (2) digital health and electronic health record functions; (3) policy and practice implications; (4) primary care settings; and (5) acute and tertiary care settings. In this viewpoint paper, we provide priorities for future research and implementation projects and recommendations that emerged from these discussions.

The Impact of Training on Electronic Health Records Related Knowledge, Practical Competencies, and Staff Satisfaction: A Pre-Post Intervention Study Among Wellness Center Providers in a Primary Health-Care Facility.

The transition to electronic health records (EHR) has improved the quality of health-care delivery and patient safety. However, poor usability and incongruent workflow may impose a significant burden on documentation and time management, resulting in staff burnout. We aimed to (i) evaluate the effectiveness of personalized EHR training on wellness providers' knowledge and practical competencies, and (ii) assess staff satisfaction regarding the EHR usage post-training. An interventional study was conducted between July 15, 2021, and March 1, 2022, among 14 wellness staff (age: 38 ± 3.9 years; 7 males, 7 females) in the Wellness Center-Rawdat Al-Khail Health Center. Six months of blended training was delivered. The impact of training was assessed using a pre-post survey on the knowledge and practical competencies related to EHR usage. Staff satisfaction was assessed post-training. Majority of respondents had improvement in identifying the advantages of EHR: improve confidentiality of care (pre = 35.7% vs post = 100%, p = 0.001), reduce medical errors (pre = 35.7% vs post = 85.7%, p = 0.02), improve quality of health care (pre = 35.7% vs post = 100%, p = 0.001), and reduce wait time (pre = 42.9% vs post = 85.7%, p = 0.03). Time performing these tasks by massage therapists/receptionists was reduced: viewing/editing ambulatory organizer (pre = 20±0 s vs post = 10±0 s), access PM office (pre = 155±136 s vs post = 10±0 s), selection/access patient chart (pre = 75±30 s vs post = 30±20 s), check-in/out (pre = 120±0 s vs post = 60±0 s), and view/edit massage form (pre = 135±75.5 s vs post = 60±0 s). For gym instructors, time to access ambulatory organizer (pre = 30±0 s vs post = 10±0 s), view/edit the gym form (pre = 101±57 s vs post = 71±36 s), view patients' clinical data (pre = 60±70 s vs post = 10±3 s), and place referral orders (pre = 197±144 vs post = 82±23 s) was reduced. A mean percentage score of 65.4±38.7 indicated very good staff satisfaction. This tailored, hands-on training has been well received and effectively improved wellness staff knowledge, competencies, and satisfaction relative to EHR functionalities.

Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study.

Clinical decision support (CDS) tools that provide point-of-care reminders of patients' care needs may improve rates of guideline-concordant cervical cancer screening. However, uptake of such electronic health record (EHR)-based tools in primary care practices is often low. This study describes the frequency of factors associated with, and barriers and facilitators to adoption of a cervical cancer screening CDS tool (CC-tool) implemented in a network of community health centers. This mixed-methods sequential explanatory study reports on CC-tool use among 480 community-based clinics, located across 18 states. Adoption of the CC-tool was measured as any instance of tool use (i.e., entry of cervical cancer screening results or follow-up plan) and as monthly tool use rates from November 1, 2018 (tool release date) to December 31, 2020. Adjusted odds and rates of tool use were evaluated using logistic and negative-binomial regression. Feedback from nine clinic staff representing six clinics during user-centered design sessions and semi-structured interviews with eight clinic staff from two additional clinics were conducted to assess barriers and facilitators to tool adoption. The CC-tool was used ≥1 time in 41% of study clinics during the analysis period. Clinics that ever used the tool and those with greater monthly tool use had, on average, more encounters, more patients from households at >138% federal poverty level, fewer pediatric encounters, higher up-to-date cervical cancer screening rates, and higher rates of abnormal cervical cancer screening results. Qualitative data indicated barriers to tool adoption, including lack of knowledge of the tool's existence, understanding of its functionalities, and training on its use. Without effective systems for informing users about new EHR functions, new or updated EHR tools are unlikely to be widely adopted, reducing their potential to improve health care quality and outcomes.

What Goes Up, Must Come Down: A State-of-the-Art Electronic Health Record Downtime and Uptime Procedure in a Metropolitan Health Setting.

Electronic health records (EHRs) are used at most hospitals around the world, and downtime events are inevitable and common. Downtime represents a risky time for patients because patient information and critical EHR functionality are unavailable. Many institutions have used EHRs for years, with health professionals less likely to be familiar or comfortable with paper-based processes, resulting in an increased risk of errors during downtimes. There is currently limited guidance available on how to develop and operationalize downtime procedure at a local level. In this paper, we fill this gap by describing our state-of-the-art downtime and uptime procedure and its evaluation. A district-wide downtime and uptime procedure was revised and standardized based on lessons learned from other health care organizations. The procedure outlines downtime and uptime preparations including downtime drills, downtime viewer auditing, and downtime education; downtime response including activating downtime and tracking patient changes; and uptime recovery including medication reconciliation and uptime documentation. We implemented our new procedure across the district during an 8-hour planned downtime. A district downtime planning committee was formed, and a virtual command center was established to coordinate the downtime and uptime events. During downtime and uptime, onsite support was provided by the district's health informatics teams and clinicians. Data recovery was completed safely and efficiently with the revised uptime process. Following the event, we gathered staff feedback and reflections on implementing the procedure which highlighted its success but also revealed some areas for further improvement. In this paper, we describe a state-of-the-art EHR downtime and uptime procedure and lessons learned from its implementation. The implementation was successful with staff well prepared and information reconciled efficiently ensuring safe continuity of care. It was only through extensive planning, significant commitment, and engagement of all stakeholders that this outcome was possible.

When the Note Doesn’t Fit: Social Workers Documenting in the Electronic Health Record on Integrated Health Teams

A qualitative study was conducted to understand how social workers document their work in the electronic health record (EHR) in integrated primary care settings. Three themes emerged from the analysis of the focus groups: 1) considerable variability in where and how social workers document their practice within the EHR; 2) EHR functions are not designed for social work practice; and 3) EHR documentation practices as helpful for demonstrating social workers’ contributions to other integrated care team members. Education, training, and EHR adaptations are needed as social workers and other nontraditional healthcare providers continue to partake in team-based service delivery, especially in integrated primary care.

Implementation and results of a standardized process for identifying ambulatory pharmacy clinical outcome measures.

Given the variation in clinical practice, a clinician-centric, standardized process to implement and validate clinical pharmacy outcome measures was developed. Four specialty clinics with embedded clinic-based pharmacists underwent an iterative process to define, refine, and implement the build of electronic health record functionality for outcome measure data collection and reporting. Starting with a list of identified measures, clinic workgroups met to discuss each measure and identify gaps in measure implementation. Information technology experts created electronic documentation forms with discrete data and reports based on criteria specified by the clinic workgroups. Of 32 outcome measures identified as priorities for demonstrating pharmacists' impact in previous research, 29 were implemented for routine monitoring through this project. Implementation strategies included identification through existing reporting, development of discrete documentation tools within the electronic health record, and development of new reporting tools from available discrete data fields. Time to implementation decreased from the first to the last pilot clinic implementation, as demonstrated through a 9-day reduction in electronic documentation form development and 31-day reduction in report development turnaround time. A standardized and reproducible process was developed for the implementation of clinical pharmacy outcomes measures for 4 specialty clinics. The process was successfully utilized to develop measurable outputs for a variety of oncology and nononcology specialty disease states based upon multidisciplinary stakeholder input.

Clinical decision support automates care gap detection among primary care patients with nonalcoholic fatty liver disease

Although guidelines recommend primary care-driven management of NAFLD, workflow constraints hinder feasibility. Leveraging electronic health records to risk stratify patients proposes a scalable, workflow-integrated strategy. We prospectively evaluated an electronic health record-embedded clinical decision support system's ability to risk stratify patients with NAFLD and detect gaps in care. Patients missing annual laboratory testing to calculate Fibrosis-4 Score (FIB-4) or those missing necessary linkage to further care were considered to have a gap in care. Linkage to care was defined as either referral for elastography-based testing or for consultation in hepatology clinic depending on clinical and biochemical characteristics. Patients with NAFLD often lacked annual screening labs within primary care settings (1129/2154; 52%). Linkage to care was low in all categories, with <3% of patients with abnormal FIB-4 undergoing further evaluation. Significant care gaps exist within primary care for screening and risk stratification of patients with NAFLD and can be efficiently addressed using electronic health record functionality.

Effective and feasible interventions to improve structured EHR data registration and exchange: A concept mapping approach and exploration of practical examples in the Netherlands

BackgroundData in Electronic Health Records (EHRs) is often poorly structured and standardized, which hampers data reuse. Research described some examples of interventions to increase and improve structured and standardized data, such as guidelines and policies, training and user friendly EHR interfaces. However, little is known about the translation of this knowledge into practical solutions. Our study aimed to specify the most effective and feasible interventions that enable better structured and standardized EHR data registration and described practical examples of successfully implemented interventions. MethodsA concept mapping approach was used to determine feasible interventions that were considered to be effective or have been successfully implemented in Dutch hospitals. A focus group was held with Chief Medical Information Officers and Chief Nursing Information Officers. After interventions were determined, multidimensional scaling and cluster analysis were performed to categorize sorted interventions using Groupwisdom™, an online tool for concept mapping. Results are presented as Go-Zone plots and cluster maps. Following, semi-structured interviews were conducted to describe practical examples of successful interventions. ResultsInterventions were classified into seven clusters ranked from highest to lowest perceived effectiveness: (1) education on usefulness and need; (2) strategic and (3) tactical organizational policies; (4) national policy; (5) monitoring and adjusting data (6) structure of and support from the EHR and (7) support in the registration process (EHR independent). Interviewees emphasized the following interventions proven successful in their practice: an enthusiastic ambassador per specialty who is responsible for educating peers by increasing awareness of the direct benefit of structured and standardized data registration; dashboards for continuous feedback on data quality; and EHR functionalities that support (automating) the registration process. ConclusionsOur study provided a list of effective and feasible interventions including practical examples of interventions that have been successful. Organizations should continue to share their best practices to learn from and attempted interventions to prevent implementation of ineffective interventions.

Data Challenges in Identifying Patients Due for Colorectal Cancer Screening in Rural Clinics

Colorectal cancer (CRC) incidence and mortality are disproportionately high among rural residents despite the availability of effective screening methods. Outreach activities can improve CRC screening rates but rely on accurate identification of patients due for screening. We report on data challenges in rural clinics and Medicaid health plans in Oregon in identifying patients eligible for CRC screening, in a large project implementing mailed fecal immunochemical tests (FIT) and patient navigation. We analyzed data from clinic intake surveys and administrative claims. Clinics were asked to identify total population numbers relevant to CRC screening and follow-up. Health plans also identified enrollees eligible for CRC screening in Spring, 2021. Clinic staff validated patient lists for eligibility using their electronic health records (EHR). EHR features varied across the 29 participating and 28 responding clinics. Among the 28 responding clinics, 21 were able to report their Medicaid population (75%), 19 reported the number of patients aged 50 to 75 (68%) and the number screened for CRC in the last year (68%). Only 8 (29%) were able to report screening details such as number screened by FIT and 9 were able to report on patients with an abnormal FIT or colonoscopy completed after FIT (32%). Health plans had challenges properly identifying where enrollees received care and had missing data for race and ethnicity (range 22 to 34% unknown race, <1% to 24% unknown ethnicity). Most participating rural primary care clinics and Medicaid health plans experienced challenges identifying the population due for a CRC screening outreach program. Better EHR functionality and data reporting capabilities could help rural clinics apply population-based strategies and ultimately attenuate disparities in cancer screening and follow-up.

Measuring Behavioral Health Integration in Primary Care.

Behavioral health integration (BHI) within primary care settings is shown to improve outcomes. However, achieving BHI requires identifying best practices and a reliable tool that can be used to measure existing levels and progress toward BHI. The objective of this study was to develop and apply a conceptual framework to measure BHI, test the approach, and examine challenges to achieving BHI. Surveys and interviews were conducted with key informants within 17 designated public hospitals in California at the midpoint of participating in a 5-year project to establish BHI. A framework and coding methodology were developed to assess BHI best practices at each hospital. BHI status was assessed in the domains of infrastructure and process. Each domain included 5 themes such as electronic health record integration and functionality (infrastructure) and interprovider communication (process). Themes were assessed using a 6-point scale for various activities under a theme and associated weights. Theme-specific values were standardized from 0% to 100% to compare BHI scores between hospitals. Overall progress toward BHI ranged from scores of 52% to 83% (mean 63%) and indicated greater contribution of infrastructure versus process implementation. Within the infrastructure domain, scores were higher for having institutional and provider support, but lagged in establishing provider proximity. Within the process domain, scores were highest for implementation of behavioral health screening, but were frequently lower for other themes such as use of care coordination and referral processes. Further research is needed to test the robustness of this approach in other settings.

Sustained Effects of a Systems-Based Strategy for Tobacco Cessation Assistance

Primary care settings that serve lower-income patients are critical for reducing tobacco-related disparities; however, tobacco-related care in these settings remains low. This study examined whether processes for the provision of tobacco cessation care are sustained 18 and 24 months after implementing a health system-level intervention consisting of electronic health record functionality changes and expansion of rooming staff roles. This nonrandomized stepped-wedge study included electronic health record data from adults with ≥1 primary care visit to 1 of 8 community-based clinics between August 2016 and September 2019. Generalized estimating equations methods were used to compute ORs of asking about tobacco use and among those who use tobacco, providing brief advice to quit and assessing readiness to quit, contrasting 18 and 24 months after implementation to both preimplementation (baseline) and 12 months after implementation. Using a 2-level model of patients clustered in clinics, outcomes were examined over time by clinic site. Analyses were conducted in 2022. A total of 305,665 patient visits were evaluated. Significantly higher odds of all 3 outcomes were observed at 18 and 24 months than at baseline. The odds of asking about tobacco use increased, whereas the odds of advising to quit were similar at 18 and 24 months to those at 12 months. Odds of assessing readiness to quit decreased at 18 months (OR=0.71; 95% CI=0.63, 0.80) and 24 months (OR=0.46; 95% CI=0.40, 0.52). Performance varied significantly by clinical site. Health system changes can have a sustained impact on tobacco assessment and the provision of brief advice among lower-income patients. Strategies to sustain assessment of readiness to quit are warranted.