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.

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.

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.

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.

Improvement in Quality Metrics by the UPMC Enhanced Care Program: A Novel Super-Utilizer Program.

The aim was to evaluate pre-post quality of care measures among super-utilizer patients enrolled in the Enhanced Care Program (ECP), a primary care intensive care program. A pre-post analysis of metrics of quality of care for diabetes, hypertension, cancer screenings, and connection to mental health care for participants in the ECP was conducted for patients enrolled in ECP for 6 or more months. Patients enrolled in ECP showed statistically significant improvements in hemoglobin A1c, retinal exams, blood pressure measurements, and screenings for colon cancer, and trends toward improvement in diabetic foot exams and screenings for cervical and breast cancer. There was a significant increase in connecting patients to mental health care. This study shows that super-utilizer patients enrolled in the ECP had significant improvements in quality metrics from those prior to enrollment in ECP.

UPMC Prescription for Wellness: A Quality Improvement Case Study for Supporting Patient Engagement and Health Behavior Change.

Addressing patient health and care behaviors that underlie much of chronic disease continues to challenge providers, medical practices, health systems, and insurers. Improving health and care as described by the Quadruple Aim requires innovation at the front lines of clinical care: the doctor-patient interaction and office practice. This article describes the use of Lean Six Sigma in a quality improvement (QI) effort to design an effective and scalable method for physicians to prescribe health coaching for healthy behaviors in a primary care medical home within a large integrated delivery and financing system. Building on the national Agency for Healthcare Research and Quality and Robert Wood Johnson Foundation-funded Prescription for Health multisite demonstration, this QI case study provides important lessons for transforming patient-physician-practice support systems to better address lifestyle and care management challenges critical to producing better outcomes.

Diet and Physical Activity Behaviors in Primary Care Patients with Recent Intentional Weight Loss.

PURPOSE: Lifestyle habits of primary care patients with recent, intentional weight loss are unclear and need to be better understood to aid in translational health promotion efforts. We aimed to characterize diet and exercise habits in primary care patients with recent, intentional weight loss, comparing those with greater (≥10%) vs. lesser (5 to <10%) weight loss. METHODS: This was a cross-sectional analysis of baseline data from a randomized trial comparing weight loss maintenance interventions. The study included primary care patients, 18-75 years old, with ≥5% intentional weight loss via lifestyle change in the past 2 years. Participants (74% female, 87% white) had mean age 53 (12) years, body mass index 30.4 (5.9) kg/m2, and recent weight loss of 11 (8)%. Dietary habits were measured by the Diet Habits Survey. Physical activity and sedentary behavior were measured by self-report and objectively by pedometer. RESULTS: On average, participants reported high fruits and vegetables intake (5 servings/day), and low intake of fried foods (1 serving/week), desserts (1 serving/week) and sugar-sweetened beverages (0 servings/week). Those with greater vs. lesser weight loss had higher intake of fruits and vegetables (p=0.037) and low fat foods or recipes (p=0.019). Average self-reported moderate-vigorous physical activity was 319 (281) minutes/week, with significant differences between greater (374 (328) minutes/week) vs. lesser (276 (230) minutes/week) weight loss groups (p=0.017). By pedometer, 30% had ≥7,500 steps/day; the proportion was higher in greater (43%) vs. lesser (19%) weight loss groups (p=0.005). CONCLUSIONS: For weight loss, clinical patients typically employ simple strategies such as 5+ fruits and vegetables per day, fried foods and desserts ≤1 per week, elimination of sugary drinks, choosing low fat foods/recipes, and physical activity 45-60 min/day.

Promoting weight maintenance with electronic health record tools in a primary care setting: Baseline results from the MAINTAIN-pc trial.

Maintaining weight loss is a significant challenge in combating obesity. The goal of Maintaining Activity and Nutrition through Technology-Assisted Innovation in Primary Care (MAINTAIN-pc) is to evaluate the use of tools delivered through an electronic health record (EHR) and patient portal, with or without health coach support, to help primary care patients maintain weight loss. EHR tools include flowsheets, standardized surveys, and secure patient messaging. Inclusion criteria were age 18-75years, voluntary 5% weight loss in the past 2years with prior BMI≥25kg/m2, and no bariatric procedures in past 5years. Participants were randomized 1:1 to tailored online coaching with EHR tracking tools (CC) or EHR tracking tools alone (TO). We screened 721 individuals between October 2013 and February 2015; 194 participants enrolled (98 CC; 96 TO). The most common reasons for not enrolling included lack of interest (56%), not meeting age or weight loss criteria (17%), and no verified prior weight loss (10%). At baseline, participants were 53.4 (SD 12.2) years old, 74% female, and 88% White; 95% reported moderate physical activity. Average weight and BMI at baseline were 189.1 (SD 42.1) lbs and 30.4 (5.9) kg/m2, respectively. Pre-weight loss BMI was 34.4 (SD 6.5) kg/m2. Participants lost an average of 11.3% (SD 6.6) of their body weight before enrolling. Demographic and clinical characteristics did not differ by randomized group. The study successfully identified and recruited primary care patients with recent voluntary weight loss for participation in a weight maintenance program that uses EHR-based tools.

Using Health Information Technology to Foster Engagement: Patients' Experiences with an Active Patient Health Record.

Personal health records (PHRs) typically employ "passive" communication strategies, such as non-personalized medical text, rather than direct patient engagement in care. Currently there is a call for more active PHRs that directly engage patients in an effort to improve their health by offering elements such as personalized medical information, health coaches, and secure messaging with primary care providers. As part of a randomized clinical trial comparing "passive" with "active" PHRs, we explore patients' experiences with using an "active" PHR known as HealthTrak. The "passive" elements of this PHR included problem lists, medication lists, information about patient allergies and immunizations, medical and surgical histories, lab test results, health reminders, and secure messaging. The active arm included all of these elements and added personalized alerts delivered through the secure messaging platform to patients for services coming due based on various demographic features (including age and sex) and chronic medical conditions. Our participants were part of the larger clinical trial and were eligible if they had been randomized to the active PHR arm, one that included regular personalized alerts. We conducted focus group discussions on the benefits of this active PHR for patients who are at risk for cardiovascular disease. Forty-one patients agreed to participate and were organized into five separate focus group sessions. Three main themes emerged from the qualitatively analyzed focus groups: participants reported that the active PHR promoted better communication with providers; enabled them to more effectively partner with their providers; and helped them become more proactive about tracking their health information. In conclusion, patients reported improved communication, partnership with their providers, and a sense of self-management, thus adding insights for PHR designers hoping to address low adoption rates and other patient barriers to the development and use of the technology.

Patterns of response to patient-centered decision support through a personal health record.

BACKGROUND: Over 140 million people in the United States have at least one chronic medical condition, but they receive fewer than 60% of guideline-recommended services for these conditions. Increasing patients' involvement in their own care may improve the receipt of guideline-recommended services. We evaluated patients' patterns of responses to notifications regarding guideline-recommended services delivered through a personalized health record (PHR). MATERIALS AND METHODS: We enrolled 584 participants with high cardiovascular disease risk from 73 primary care practices into an active PHR in which they received patient-centered decision support-notifications delivered via a PHR regarding prevention gaps (i.e., unmet preventive healthcare or chronic disease monitoring). Participants with prevention gaps received up to three weekly messages regarding all services due within a 2-month time frame. These three-message cycles could repeat up to every 2 months for a new, or continuing, prevention gap. RESULTS: Of the 584 participants, 501 (86%) received at least one reminder. Approximately 61% of these participants accessed the PHR or received the care that triggered the message after the first message and 73% after the first two messages. In subsequent three-message cycles, we observed no change in the number of messages required prior to participants accessing the PHR or receiving recommended care (chi-squared = 12.4, p = 0.3). Of the 2,656 prevention gaps these participants had over 1 year, 1,539 (58%) were closed. CONCLUSIONS: In this low-intensity intervention, participants accessed the PHR and received recommended care. Providing notification through the PHR allows patients to choose when they receive, and take action on, the message. Notifications can be provided to patients through a PHR without alert fatigue and may be an additional tool to help patients achieve better health.

Implementing health information technology in a patient-centered manner: patient experiences with an online evidence-based lifestyle intervention.

The patient-centered care (PCC) model and the use of health information technology (HIT) are major initiatives for improving U.S. healthcare quality and delivery. A lack of published data on patient perceptions of Internet-based care makes patient-centered implementation of HIT challenging. To help ascertain patients' perceptions of an online intervention, patients completing a 1-year web-based lifestyle intervention were asked to complete a semistructured interview. We used qualitative methodology to determine frequency and types of interview responses. Overall satisfaction with program features was coded on a Likert-type scale. High levels of satisfaction were seen with the online lifestyle coaching (80%), self-monitoring tools (57%), and structured lesson features (54%). Moderated chat sessions and online resources were rarely used. Frequently identified helpful aspects were those that allowed for customized care and shared decision-making consistent with the tenets of PCC. Unhelpful program aspects were reported less often. Findings suggest that despite challenges for communicating effectively in an online forum, the personalized support, high-tech data management capabilities, and easily followed evidence-based curricula afforded by HIT may be a means of providing PCC and improving healthcare delivery and quality.