Electronic Health Record Population Health Management for Chronic Kidney Disease Care: A Cluster Randomized Clinical Trial.

Importance: Large gaps in clinical care in patients with chronic kidney disease (CKD) lead to poor outcomes. Objective: To compare the effectiveness of an electronic health record-based population health management intervention vs usual care for reducing CKD progression and improving evidence-based care in high-risk CKD. Design, Setting, and Participants: The Kidney Coordinated Health Management Partnership (Kidney CHAMP) was a pragmatic cluster randomized clinical trial conducted between May 2019 and July 2022 in 101 primary care practices in Western Pennsylvania. It included patients aged 18 to 85 years with an estimated glomerular filtration rate (eGFR) of less than 60 mL/min/1.73m2 with high risk of CKD progression and no outpatient nephrology encounter within the previous 12 months. Interventions: Multifaceted intervention for CKD comanagement with primary care clinicians included a nephrology electronic consultation, pharmacist-led medication management, and CKD education for patients. The usual care group received CKD care from primary care clinicians as usual. Main Outcomes and Measures: The primary outcome was time to 40% or greater reduction in eGFR or end-stage kidney disease. Results: Among 1596 patients (754 intervention [47.2%]; 842 control [52.8%]) with a mean (SD) age of 74 (9) years, 928 (58%) were female, 127 (8%) were Black, 9 (0.6%) were Hispanic, and the mean (SD) estimated glomerular filtration rate was 36.8 (7.9) mL/min/1.73m2. Over a median follow-up of 17.0 months, there was no significant difference in rate of primary outcome between the 2 arms (adjusted hazard ratio, 0.96; 95% CI, 0.67-1.38; P = .82). Angiotensin-converting enzyme inhibitor/angiotensin receptor blocker exposure was more frequent in intervention arm compared with the control group (rate ratio, 1.21; 95% CI, 1.02-1.43). There was no difference in the secondary outcomes of hypertension control and exposure to unsafe medications or adverse events between the arms. Several COVID-19-related issues contributed to null findings in the study. Conclusion and Relevance: In this study, among patients with moderate-risk to high-risk CKD, a multifaceted electronic health record-based population health management intervention resulted in more exposure days to angiotensin-converting enzyme inhibitors/angiotensin receptor blockers but did not reduce risk of CKD progression or hypertension control vs usual care. Trial Registration: ClinicalTrials.gov Identifier: NCT03832595.

Aspects of Program Engagement in an Online Physical Activity Intervention and Baseline Predictors of Engagement.

PURPOSE: Participant engagement in an online physical activity (PA) intervention is described and baseline factors related to engagement are identified. DESIGN: Longitudinal Study Within Randomized Controlled Trial. SETTING: Online/Internet. SAMPLE: Primary care patients (21-70 years). INTERVENTION: ActiveGOALS was a 3-month, self-directed online PA intervention (15 total lessons, remote coaching support, and a body-worn step-counter). MEASURES: Engagement was measured across six outcomes related to lesson completion (total number and time to complete), coach contact, and behavior tracking (PA, sedentary). Self-reported baseline factors were examined from seven domains (confidence, environment, health, health care, demographic, lifestyle, and quality of life). ANALYSIS: General linear and nonlinear mixed models were used to examine relationships between baseline factors and engagement outcomes within and across all domains. RESULTS: Seventy-nine participants were included in the sample (77.2% female; 74.7% white non-Hispanic). Program engagement was high (58.2% completed all lessons; PA was tracked ≥3 times/week for 11.3 ± 4.0 weeks on average). Average time between completed lessons (days) was longer than expected and participants only contacted their coach about 1 of every 3 weeks. Individual predictors related to health, health care, demographics, lifestyle, and quality of life were significantly related to engagement. CONCLUSION: Examining multiple aspects of engagement and a large number of potential predictors of engagement is likely needed to determine facilitators and barriers for high engagement in multi-faceted online intervention programs.

Lifestyle strategies after intentional weight loss: results from the MAINTAIN-pc randomized trial.

Introduction/Purpose: Weight maintenance following intentional weight loss is challenging and often unsuccessful. Physical activity and self-monitoring are strategies associated with successful weight loss maintenance. However, less is known about the type and number of lifestyle strategies used following intentional weight loss. The purpose of this study was to determine the types and amounts of strategies associated with successful long-term weight loss maintenance. Methods: Data from the 24-month Maintaining Activity and Nutrition Through Technology-Assisted Innovation in Primary Care (MAINTAIN-pc) trial were analyzed. MAINTAIN-pc recruited adults (n=194; 53.4±12.2 years of age, body mass index (BMI): 30.4±5.9 kg/m2, 74% female) with recent intentional weight loss of ≥5%, randomized to tracking tools plus coaching (i.e., coaching group) or tracking tools without coaching (i.e., tracking-only group). At baseline, 6, 12, and 24 months, participants reported lifestyle strategies used in the past 6 months, including self-monitoring, group support, behavioral skills, and professional support. General linear models evaluated changes in the number of strategies over time between groups and the consistency of strategies used over the 24-month intervention. Results: At baseline, 100% used behavioral skills, 73% used group support, 69% used self-monitoring, and 68% used professional support in the past 6 months; at 24 months, these rates were 98%, 60%, 75%, and 61%, respectively. While the number of participants utilizing individual strategies did not change significantly over time, the overall number of strategies participants reported decreased. More strategies were used at baseline and 6 months compared to 12- and 24-month follow-ups. The coaching group used more strategies at months 6 and 12 than the tracking-only group. Consistent use of professional support strategies over the 24-month study period was associated with less weight regain. Conclusion: Weight loss maintenance interventions that incorporate continued follow-up and support from healthcare professionals are likely to prevent weight regain after intentional weight loss.

Electronic health record based population health management to optimize care in CKD: Design of the Kidney Coordinated HeAlth Management Partnership (K-CHAMP) trial.

Primary care physicians (PCPs) provide the majority of medical care to patients with non-dialysis dependent CKD. However, PCPs report numerous limitations to providing expert CKD care, including poor patient education, inadequate diagnostic evaluation, suboptimal use of medications, and time limitations. The Kidney Coordinated HeAlth Management Partnership (Kidney CHAMP) trial is a cluster randomized controlled trial to evaluate the effectiveness of a novel centralized electronic health records (EHR)-delivered population health management (PHM) strategy for high-risk CKD patients on patient care, safety, and other outcomes of interest to patients, providers, and payors. Over a 42-month period, the trial will compare the effectiveness of a multifaceted intervention that combines early identification of high-risk patients, timely nephrology guidance, pharmacist-led medication management services, and CKD patient education to usual care and enroll 1650 high-risk CKD patients from 100 primary care practices. The primary outcome will be ≥40% decline in estimated glomerular filtration rate (eGFR) or end stage kidney disease. Key secondary outcomes will include blood pressure, renin-angiotensin aldosterone system inhibitors use, and exposure to potentially unsafe medications. If successful, our treatment approach could improve CKD care delivery and safety, resource allocation, and adoption of evidence-based CKD guideline-concordant care.

Identifying barriers to shared decision-making about bariatric surgery in two large health systems.

OBJECTIVE: Prior research suggests shared decision-making (SDM) could improve patient and health care provider communication about bariatric surgery. The aim of this work was to identify and prioritize barriers to SDM around bariatric surgery to help guide implementation of SDM. METHODS: Two large US health care systems formed multidisciplinary teams to facilitate the implementation of SDM around bariatric surgery. The teams used a nominal group process approach involving (1) generation of multilevel barriers, (2) round-robin recording of barriers, (3) facilitated discussion, and (4) selection and ranking of barriers according to importance and feasibility to address. RESULTS: One health system identified 13 barriers and prioritized 5 as the most important and feasible to address. The second health system identified 14 barriers and prioritized 6. Both health systems commonly prioritized six barriers: lack of insurance coverage; lack of understanding of insurance coverage; lack of organizational prioritization of SDM; lack of knowledge about bariatric surgery; lack of interdepartmental clarity between primary and specialty care; and limited training on SDM conversations and tools. CONCLUSIONS: Health systems face numerous barriers to SDM around bariatric surgery, and these can be easily identified and prioritized by multistakeholder teams. Future research should seek to identify effective strategies to address these common barriers.

Do patients want clinicians to ask about social needs and include this information in their medical record?

BACKGROUND: Social needs screening in primary care may be valuable for addressing non-medical health-related factors, such as housing insecurity, that interfere with optimal medical care. Yet it is unclear if patients welcome such screening and how comfortable they are having this information included in electronic health records (EHR). OBJECTIVE: To assess patient attitudes toward inclusion of social needs information in the EHR and key correlates, such as sociodemographic status, self-rated health, and trust in health care. DESIGN, PARTICIPANTS, AND MAIN MEASURES: In a cross-sectional survey of patients attending a primary care clinic for annual or employment exams, 218/560 (38%) consented and completed a web survey or personal interview between 8/20/20-8/23/21. Patients provided social needs information using the Accountable Care Communities Screening Tool. For the primary outcome, patients were asked, "Would you be comfortable having these kinds of needs included in your health record (also known as your medical record or chart)?" ANALYSES: Regression models were estimated to assess correlates of patient comfort with including social needs information in medical records. KEY RESULTS: The median age was 45, 68.8% were female, and 78% were white. Median income was $75,000 and 84% reported education beyond high school. 85% of patients reported they were very or somewhat comfortable with questions about social needs, including patients reporting social needs. Social need ranged from 5.5% (utilities) to 26.6% (housing), and nonwhite and gender-nonconforming patients reported greater need. 20% reported "some" or "complete" discomfort with social needs information included in the EHR. Adjusting for age, gender, race, education, trust, and self-rated health, each additional reported social need significantly increased discomfort with the EHR for documenting social needs. CONCLUSIONS: People with greater social needs were more wary of having this information placed in the EHR. This is a concerning finding, since one rationale for collecting social need data is to use this information (presumably in the EHR) for addressing needs.

Effect of Different Interventions to Help Primary Care Clinicians Avoid Unsafe Opioid Prescribing in Opioid-Naive Patients With Acute Noncancer Pain: A Cluster Randomized Clinical Trial.

Importance: Prescription opioids can treat acute pain in primary care but have potential for unsafe use and progression to prolonged opioid prescribing. Objective: To compare clinician-facing interventions to prevent unsafe opioid prescribing in opioid-naive primary care patients with acute noncancer pain. Design Setting and Participants: We conducted a multisite, cluster-randomized, 2 × 2 factorial, clinical trial in 3 health care systems that comprised 48 primary care practices and 525 participating clinicians from September 2018 through January 2021. Patient participants were opioid-naive outpatients, 18 years or older, who presented for a qualifying clinic visit with acute noncancer musculoskeletal pain or nonmigraine headache. Interventions: Practices randomized to: (1) control; (2) opioid justification; (3) monthly clinician comparison emails; or (4) opioid justification and clinician comparison. All groups received opioid prescribing guidelines via the electronic health record at the time of a new opioid prescription. Main Outcomes and Measures: Primary outcome measures were receipt of an initial opioid prescription at the qualifying clinic visit. Other outcomes were opioid prescribing for more than 3 months and a concurrent opioid/benzodiazepine prescription over 12-month follow-up. Results: Among 22 616 enrolled patient participants (9740 women [43.1%]; 64 American Indian/Alaska Native [0.3%]; 590 Asian [2.6%], 1120 Black/African American [5.0%], 1777 Hispanic [7.9%], 225 Native Hawaiian/Pacific Islander [1.0%], and 18 981 White [83.9%] individuals), the initial opioid prescribing rates at the qualifying clinic visit were 3.1% in the total sample, 4.2% in control, 3.6% in opioid justification, 2.6% in clinician comparison, and 1.9% in opioid justification and clinician comparison. Compared with control, the adjusted odds ratio (aOR) for a new opioid prescription was 0.74 (95% CI, 0.46-1.18; P = .20) for opioid justification and 0.60 (95% CI, 0.38-0.96; P = .03) for clinician comparison. Compared with control, clinician comparison was associated with decreased odds of opioid therapy of more than 3 months (aOR, 0.79; 95% CI, 0.69-0.91; P = .001) and concurrent opioid/benzodiazepine prescription (aOR, 0.85; 95% CI, 0.72-1.00; P = .04), whereas opioid justification did not have a significant effect. Conclusions and Relevance: In this cluster randomized clinical trial, comparison emails decreased the proportion of opioid-naive patients with acute noncancer pain who received an opioid prescription, progressed to treatment with long-term opioid therapy, or were exposed to concurrent opioid and benzodiazepine therapy. Health care systems can consider adding clinician-targeted nudges to other initiatives as an efficient, scalable approach to further decrease potentially unsafe opioid prescribing. Trial Registration: ClinicalTrials.gov Identifier: NCT03537573.

Clinic Design for Safety During the Pandemic: Safety or Teamwork, Can We Only Pick One?

OBJECTIVE: This article aims to illustrate the design considerations of team-based primary care clinics in response to the pandemic. BACKGROUND: Due to COVID-19, physical distancing became a critical practice in our daily life, especially in healthcare settings where healthcare professionals must continue providing care to patients despite the manifold risks. Many healthcare facilities are implementing physical distancing in their clinic layouts, and healthcare professionals are adjusting their behaviors, so they can stay away from each other. METHODS: A total of four team-based primary care clinics were studied to identify their lessons learned regarding safety measures and space usage during the pandemic. RESULTS: The four team-based primary care clinics made changes to the clinic design (e.g., waiting areas, exam rooms, team workspaces), operational protocols (e.g., in-person huddles, social gatherings, staff work locations), and usage of spaces (e.g., outdoor spaces, utility rooms). Such changes enabled the implementation of safety measures during the pandemic. However, healthcare professionals also reported challenges regarding their team communication and coordination due to physical distancing and separation. CONCLUSIONS: Our findings suggest that the physical distancing may in fact contribute to less effective teamwork and patient care and negatively affect staff well-being. In this article, we ask healthcare system leaders and designers to continue supporting both safety and teamwork by paying attention to the flexibility and spatial relationships among healthcare professionals rather than fully sacrificing teamwork for safety. Also, now is the time when multidisciplinary collaborations are needed to establish and validate guidelines that can improve both factors.

Examining the Relationship Between Environmental Factors and Inpatient Hospital Falls: Protocol for a Mixed Methods Study.

BACKGROUND: Patient falls are the most common adverse events reported in hospitals. Although it is well understood that the physical hospital environment contributes to nearly 40% of severe or fatal hospital falls, there are significant gaps in the knowledge about the relationship between inpatient unit design and fall rates. The few studies that have examined unit design have been conducted in a single hospital (non-Veterans Health Administration [VHA]) or a small number of inpatient units, limiting generalizability. The goal of this study is to identify unit design factors contributing to inpatient falls in the VHA. OBJECTIVE: The first aim of the study is to investigate frontline and management perceptions of and experiences with veteran falls as they pertain to inpatient environmental factors. An iterative rapid assessment process will be used to analyze the data. Interview findings will directly inform the development of an environmental assessment survey to be conducted as part of aim 2 and to contribute to interpretation of aim 2. The second aim of this study is to quantify unit design factors and compare spatial and environmental factors of units with higher- versus lower-than-expected fall rates. METHODS: We will first conduct walk-through interviews with facility personnel in 10 medical/surgical units at 3 VHA medical centers to identify environmental fall risk factors. Data will be used to finalize an environmental assessment survey for nurse managers and facilities managers. We will then use fall data from the VA Inpatient Evaluation Center and patient data from additional sources to identify 50 medical/surgical nursing units with higher- and lower-than-expected fall rates. We will measure spatial factors by analyzing computer-aided design files of unit floorplans and environmental factors from the environmental assessment survey. Statistical tests will be performed to identify design factors that distinguish high and low outliers. RESULTS: The VA Health Services Research and Development Service approved funding for the study. The research protocol was approved by institutional review boards and VA research committees at both sites. Data collection started in February 2018. Results of the data analysis are expected by February 2022. Data collection and analysis was completed for aim 1 with a manuscript of results in progress. For aim 2, the medical/surgical units were categorized into higher- and lower-than-expected fall categories, the environmental assessment surveys were distributed to facility managers and nurse managers. Data to measure spatial characteristics are being compiled. CONCLUSIONS: To our knowledge, this study is the first to objectively identify spatial risks for falls in hospitals within in a large multihospital system. Findings can contribute to evidence-based design guidelines for hospitals such as those of the Facility Guidelines Institute and the Department of Veterans Affairs. The metrics for characterizing spatial features are quantitative indices that could be incorporated in larger scale contextual studies examining contributors to falls, which to date often exclude physical environmental factors at the unit level. Space syntax measures could be used as physical environmental factors in future research examining a range of contextual factors-social, personal, organizational, and environmental-that contribute to patient falls. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/24974.

Improving Pneumococcal Vaccination Rates in Rheumatology Patients by Using Best Practice Alerts in the Electronic Health Records.

OBJECTIVE: To improve pneumococcal vaccination (PV) rates among rheumatology clinic patients on immunosuppressive therapy in the outpatient settings. METHODS: This quality improvement project was based on the pre-post intervention design. Phase I of the project targeted patients with rheumatoid arthritis from 13 rheumatology clinics (January 2013-July 2015) on immunosuppressive therapy to receive the pneumococcal polysaccharide vaccine (PPSV23). In the Phase II study (January 2016-October 2017), all patients on immunosuppressive medications regardless of diagnosis were targeted to receive PPSV23 and the pneumococcal conjugate vaccine (PCV13). The best practice alerts (BPAs) for both PVs were developed based on the Centers for Disease Control and Prevention guidelines, which appeared on electronic medical records for eligible patients at the time of assessment by the medical assistant. The BPA was designed to inform the vaccination status and enable the physician to order the PV, or to document refusal or deferral reasons. Education regarding vaccine guidelines, BPAs, vaccination process, and regular feedback of results were important project interventions. The vaccination rates during pre-post intervention for each study phase were compared using chi-square test. RESULTS: During phase I, PPSV23 vaccination rates improved from a 28% preintervention rate to 61.5% (P < 0.0001). During phase II, 77.4% of patients had received either PPSV23, PCV13, or both, compared to 49.6% of patients in the preintervention period (P < 0.0001). The documentation rates (vaccine received, ordered, patient refusal and deferral reasons) increased significantly in both phases. CONCLUSION: Electronic identification of vaccine eligibility and implementation of BPAs with capabilities to order and document resulted in significantly improved PV rates. The process has potential for self-sustainability and generalizability.

Efficacy of an Online Physical Activity Intervention Coordinated With Routine Clinical Care: Protocol for a Pilot Randomized Controlled Trial.

BACKGROUND: Most adults are not achieving recommended levels of physical activity (150 minutes/week, moderate-to-vigorous intensity). Inadequate activity levels are associated with numerous poor health outcomes, and clinical recommendations endorse physical activity in the front-line treatment of obesity, diabetes, dyslipidemia, and hypertension. A framework for physical activity prescription and referral has been developed, but has not been widely implemented. This may be due, in part, to the lack of feasible and effective physical activity intervention programs designed to coordinate with clinical care delivery. OBJECTIVE: This manuscript describes the protocol for a pilot randomized controlled trial (RCT) that tests the efficacy of a 13-week online intervention for increasing physical activity in adult primary care patients (aged 21-70 years) reporting inadequate activity levels. The feasibility of implementing specific components of a physical activity clinical referral program, including screening for low activity levels and reporting patient program success to referring physicians, will also be examined. Analyses will include participant perspectives on maintaining physical activity. METHODS: This pilot study includes a 3-month wait-listed control RCT (1:1 ratio within age strata 21-54 and 55-70 years). After the RCT primary end point at 3 months, wait-listed participants are offered the full intervention and all participants are followed to 6 months after starting the intervention program. Primary RCT outcomes include differences across randomized groups in average step count, moderate-to-vigorous physical activity, and sedentary behavior (minutes/day) derived from accelerometers. Maintenance of physical activity changes will be examined for all participants at 6 months after the intervention start. RESULTS: Recruitment took place between October 2018 and May 2019 (79 participants were randomized). Data collection was completed in February 2020. Primary data analyses are ongoing. CONCLUSIONS: The results of this study will inform the development of a clinical referral program for physical activity improvement that combines an online intervention with clinical screening for low activity levels, support for postintervention behavior maintenance, and feedback to the referring physician. TRIAL REGISTRATION: ClinicalTrials.gov NCT03695016; https://clinicaltrials.gov/ct2/show/NCT03695016. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/18891.

Lifestyle Habits Associated with Weight Regain After Intentional Loss in Primary Care Patients Participating in a Randomized Trial.

BACKGROUND: Though long-term weight loss maintenance is the treatment goal for obesity, weight regain is typical and few studies have evaluated lifestyle habits associated with weight regain. OBJECTIVE: To identify dietary and physical activity habits associated with 6- and 24-month weight regain among participants in a weight loss maintenance clinical trial. DESIGN: Secondary analysis of randomized clinical trial data. PARTICIPANTS: Adult primary care patients with recent, intentional weight loss of at least 5%. MAIN MEASURES: Lifestyle habits included consumption of low-fat foods, fish, desserts, sugary beverages, fruits, and vegetables and eating at restaurants from the Connor Diet Habit Survey; moderate-vigorous physical activity by self-report; steps recorded by a pedometer; and sedentary behavior by self-report. The outcome variable was weight change at 6 and 24 months. Linear regression models estimated adjusted associations between changes in weight and changes in dietary and physical activity habits. KEY RESULTS: Overall, participants (mean (SD): 53.4 (12.2) years old; 26% male; 88% white) maintained weight loss at 6 months (n = 178, mean (SD): - 0.02 (5.70)% change) but began to regain weight by 24 months (n = 157, mean (SD): 4.22 (9.15)% increase). When considered all together, more eating at restaurants, reduced fish consumption, and less physical activity were most consistently associated with weight regain in fully adjusted models at both 6 and 24 months of follow-up. In addition, more sedentary behavior was associated with weight regain at 6 months while reduced consumption of low-fat foods, and more desserts and sugary beverages were associated with weight regain at 24 months. CONCLUSIONS: Consuming less fish, fewer steps per day, and more frequent restaurant eating were most consistently associated with weight regain in primary care patients. Primary care providers may consider addressing specific lifestyle behaviors when counseling patients after successful weight loss. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01946191.

Primary Care Physicians' Perspectives on the Ethical Impact of the Electronic Medical Record.

OBJECTIVE: The aim of this study is to explore whether specific ethical questions arise with the use of a shared electronic health record (EHR) system, based on the daily experience of primary care physicians (PCPs). METHODS: In this qualitative research project, we conducted 14 in-depth semistructured interviews with PCPs in a tertiary hospital setting. RESULTS: We identified 4 themes: 1) PCPs describe the EHR as a medicine with side effects, for which they provide suggestions for improvements; 2) A shared record raises ethical questions related to autonomy and trust; 3) Although use of the EHR often disturbs rapport with the patient, it can also support the patient-doctor interaction when it becomes an active part of the conversation; 4) A shared EHR may cause health care providers (and their relatives) to avoid seeking help for sensitive issues. DISCUSSION: PCPs fear access to results could cause confusion and anxiety in patients, resulting in tensions between autonomy and beneficence. Improved efficiency and quality of care with a shared EHR relies on doctors trusting each other's input to avoid duplicate tests. However, this might compromise a fundamental skeptical attitude in practicing medicine, and we should be aware of a risk of increased confirmation and anchoring bias. CONCLUSION: The EHR is considered to be a work in progress-EHR design could be improved by examining physicians' coping strategies and implementing their suggestions for improvement. Ethical questions related to autonomy, trust, and the status of records that belong to doctor-patients need to be considered in future research and EHR development.

A Longitudinal Ambulatory Quality Improvement Curriculum That Aligns Resident Education With Patient Outcomes: A 3-Year Experience.

Quality improvement (QI) plays a vital role in practice management, patient care, and reimbursement. The authors implemented a 3-year longitudinal curriculum that combined QI didactics, intervention development, and implementation at university-based, community-based, and Veterans Administration-based practices. Highlights included Plan-Do-Study-Act cycle format, team-based collaboration to brainstorm interventions, interdisciplinary QI council to select and plan interventions, system-wide intervention implementation across entire clinic populations with outcome monitoring, and intervention modifications based on challenges. A pre-post survey assessed residents' confidence in QI skills and interdisciplinary team participation, while quarterly quality data assessed patient outcomes. All 150 internal medicine residents participated. Confidence in QI and interdisciplinary team participation improved significantly (P < .001). Patient outcomes improved for 6 of 9 targeted projects and were sustained at 1 year. This curriculum is a systems-based innovation designed to improve patient care and encourage interdisciplinary teamwork and can be adopted by residencies seeking to improve engagement in QI.

The elephant in the room: a postphenomenological view on the electronic health record and its impact on the clinical encounter.

Use of electronic health records (EHR) within clinical encounters is increasingly pervasive. The digital record allows for data storage and sharing to facilitate patient care, billing, research, patient communication and quality-of-care improvement-all at once. However, this multifunctionality is also one of the main reasons care providers struggle with the EHR. These problems have often been described but are rarely approached from a philosophical point of view. We argue that a postphenomenological case study of the EHR could lead to more in-depth insights. We will focus on two concepts-transparency and multistability-and translate them to the specific situation of the EHR. Transparency is closely related to an embodiment relation in which the user becomes less aware of the technology: it fades into the background, becoming a means of experience. A second key concept is that of multistability, referring to how a technology can serve multiple purposes or can have different meanings in different contexts. The EHR in this sense is multistable by design. Future EHR design could incorporate multistable information differently, allowing the provider to focus on patient care when interacting with the EHR. Moreover we argue that the use of the EHR in the daily workflow should become more transparent, while awareness of the computer in the specific context of the patient-provider relationship should increase.

Effect of Electronic Health Record-Based Coaching on Weight Maintenance: A Randomized Trial.

Background: Weight regain after intentional loss is common. Most evidence-based weight management programs focus on short-term loss rather than long-term maintenance. Objective: To evaluate the benefit of coaching in an electronic health record (EHR)-based weight maintenance intervention. Design: Randomized controlled trial. (ClinicalTrials.gov: NCT01946191). Setting: Practices affiliated with an academic medical center. Participants: Adult outpatients with body mass index (BMI) of 25 kg/m2 or higher, intentional weight loss of at least 5% in the previous 2 years, and no bariatric procedures in the previous 5 years. Intervention: Participants were randomly assigned to EHR tools (tracking group) versus EHR tools plus coaching (coaching group). The EHR tools included weight, diet, and physical activity tracking flow sheets; standardized surveys; and reminders. The coaching group received 24 months of personalized coaching through the EHR patient portal, with 24 scheduled contacts. Measurements: The primary outcome was weight change at 24 months. Secondary outcomes included 5% weight loss maintenance and changes in BMI, waist circumference, number of steps per day, health-related quality of life, physical function, blood pressure, and satisfaction. Results: Among 194 randomly assigned participants (mean age, 53.4 years [SD, 12.2]; 143 [74%] women; 171 [88%] white), 157 (81%) completed the trial. Mean baseline weight and BMI were 85.8 kg (SD, 19.1) and 30.4 kg/m2 (SD, 5.9). At 24 months, mean weight regain (± SE) was 2.1 ± 0.62 kg and 4.9 ± 0.63 kg in the coaching and tracking groups, respectively. The between-group difference in weight change at 24 months was significant (-2.86 kg [95% CI, -4.60 to -1.11 kg]) in the linear mixed model. At 24 months, 65% of participants in the coaching group and 50% in the tracking group maintained weight loss of at least 5%. Limitation: Single-site trial, which limits generalizability. Conclusion: Among adults with intentional weight loss of at least 5%, use of EHR tools plus coaching resulted in less weight regain than EHR tools alone. Primary Funding Source: Agency for Healthcare Research and Quality and National Institutes of Health.

Cluster Randomized Trial Examining the Impact of Automated Best Practice Alert on Rates of Implantable Defibrillator Therapy.

Background Implantable cardioverter-defibrillators (ICDs) are indicated in patients with left ventricular ejection fraction ≤35%, but many eligible patients do not receive this therapy. In this cluster randomized trial, we investigated the impact of a best practice alert (BPA) through the electronic health records on the rates of electrophysiology referrals, ICD implantations, and all-cause mortality in severe cardiomyopathy patients. Methods and Results Providers in the Heart and Vascular Institute (n=106) and in General Internal Medicine (n=89) were randomized to receive or not receive a BPA recommending consideration for ICD implantation. Patients belonging to the BPA and no BPA groups of providers were followed to the end points of electrophysiology referrals, ICD implantations, and all-cause mortality. Between 2013 and 2015, patients with reduced left ventricular ejection fraction were managed by 93 providers in the BPA (n=997 patients) and 102 providers in the no BPA (n=909 patients) groups. Patients in the 2 groups had comparable baseline characteristics. After a median follow-up of 36 months, 638 (33%) patients were referred to electrophysiology, 536 (27%) received an ICD, and 445 (23%) died. Patients in the BPA group were more likely to be referred to electrophysiology (hazard ratio=1.23; P=0.026), to receive ICD therapy (hazard ratio=1.35; P=0.006), and exhibited a trend towards slightly lower mortality (hazard ratio=0.85; P=0.091). Conclusions Delivering a BPA through the electronic health record recommending to providers consideration of ICD implantation when the left ventricular ejection fraction is ≤35% improves the rates of electrophysiology referrals and ICD therapy in patients with severe left ventricular dysfunction.

Field Investigation of Ambulatory Clinic Exam Room Design with respect to Computing Devices: A Pilot Study.

The Department of Veterans Affairs (VA) has developed a new exam room design standard that is intended to facilitate a greater degree of patient centeredness. This new design includes a wall-mounted monitor on an armature system and a moveable table workspace. To date, however, this design has not been formally evaluated in a field setting. We conducted observations and interviews with primary care providers and their patients from three locations within the Phoenix VA Health Care System, in a pilot study comparing the new exam room design standard with the older legacy exam rooms. When using the new exam room layout, providers spent a greater proportion of time focused on the patient, spent more time in screen-sharing activities with the patient, and had a higher degree of self-reported situation awareness. However, the legacy exam rooms were perceived as better facilitating workflow integration. Provider and patient debrief interviews were supportive of the new exam room design. Overall, our field study results suggest that the new exam room design does contribute to a greater degree of patient centeredness, though more thorough evaluations are required to support these preliminary results.

Online Lifestyle Modification Intervention: Survey of Primary Care Providers' Attitudes and Views.

BACKGROUND: Online tools are a convenient and effective method of delivering lifestyle interventions to obese adult primary care patients. A referral model allows physicians to efficiently direct their patients to the intervention during a primary care visit. However, little is known of physicians' perspectives and utilization of the referral model for an online lifestyle modification intervention. OBJECTIVE: The aim was to evaluate the response of primary care providers (PCPs) to a referral model for implementing a year-long online intervention for weight loss to obese adult patients. METHODS: The PCPs at six primary care clinics were asked to refer adult obese patients to a year-long online lifestyle intervention providing self-management support for weight loss. Following the 1-year intervention, all providers at the participating practices were surveyed regarding their views of the program. Respondents completed survey items assessing their attitudes regarding the 1-year intensive weight loss intervention and identifying resources they would find helpful for assisting patients with weight loss. Referring physicians were asked about their level of satisfaction with implementing the counseling services using standard electronic health record referral processes. Attitudes toward obesity counseling among referring and nonreferring providers were compared. Impressions of how smoothly the referral model of obesity treatment integrated with the clinical workflow were also quantified. RESULTS: Of the 67 providers who completed the surveys, nonreferring providers (n=17) were more likely to prefer counseling themselves (P=.04) and to report having sufficient time to do so (P=.03) than referring providers (n=50) were. Nonreferring providers were more likely to report that their patients lacked computer skills (76%, 13/17 vs 34%, 17/50) or had less access to the Internet (65%, 11/17 vs 32%, 16/50). CONCLUSIONS: Understanding providers' views and barriers regarding the integration of online tools will facilitate widespread implementation of an online lifestyle modification intervention.

Resident and Attending Physicians' Perceptions of Patient Access to Provider Notes: Comparison of Perceptions Prior to Pilot Implementation.

BACKGROUND: As electronic health records have become a more integral part of a physician's daily life, new electronic health record tools will continue to be rolled out to trainees. Patient access to provider notes is becoming a more widespread practice because this has been shown to increase patient empowerment. OBJECTIVE: In this analysis, we compared differences between resident and attending physicians' perceptions prior to implementation of patient access to provider notes to facilitate optimal use of electronic health record features and as a potential for patient empowerment. METHODS: This was a single-site study within an academic internal medicine program. Prior to implementation of patient access to provider notes, we surveyed resident and attending physicians to assess differences in perceptions of this new electronic health record tool using an open access survey provided by OpenNotes. RESULTS: We surveyed 37% (20/54 total) of resident physicians and obtained a 100% response rate and 72% (31/44 total) of attending physicians. Similarities between the groups included concerns about documenting sensitive topics and anticipation of improved patient engagement. Compared with attending physicians, resident physicians were more concerned about litigation, discussing weight, offending patients, and communicated less overall with patients through electronic health record. CONCLUSIONS: Patient access to provider notes has the potential to empower patients but concerns of the resident physicians need to be validated and addressed prior to its utilization.