Giving Patients the Focused Attention They Deserve.

This viewpoint discusses the need for physicians to give focused attention to patients and the challenges that prevent them from doing so and suggests goals to create conditions that ensure that physicians are fully present during patient visits.

National survey of patient symptoms and therapies among 707 women with a lipedema phenotype in the United States.

BACKGROUND: National survey data exploring the patient experience with lipedema are lacking. METHODS: We conducted national surveys from 2016 to 2022 of women with lipedema as well as female controls. Surveys collected information on symptomatology, pain, and therapies. We performed logistic regression comparing symptoms among those with lipedema versus controls adjusting for age and BMI. RESULTS: A total of 707 women with lipedema and 216 controls completed the surveys. Those with lipedema had a mean age of 48.6 years and mean BMI of 40.9 kg/m2. Lipedema symptom onset occurred frequently at puberty (48.0%) or pregnancy (41.2%). Compared to controls, women with lipedema were more likely to report leg swelling in heat (odds ratio [OR], 66.82; 95% CI, 33.04-135.12; p < 0.0001), easy bruising (OR, 26.23; 95% CI, 15.58-44.17; p < 0.0001), altered gait (OR, 15.54; 95% CI, 7.58-31.96; p < 0.0001), flu-like symptoms (OR, 12.99; 95% CI, 4.27-39.49; p < 0.0001), joint hypermobility (OR, 12.88; 95% CI, 6.68-24.81; p < 0.0001), cool skin (OR, 12.21; 95% CI, 5.20-28.69; p < 0.0001), varicose veins (OR, 11.29; 95% CI, 6.71-18.99; p < 0.0001), and fatigue (OR, 9.59; 95% CI, 6.10-15.09; p < 0.0001). Additionally, 70.3% had upper arm involvement, 21.2% reported foot swelling, and 16.6% reported foot pain. Most (52.2%) reported no symptom improvement with diet or exercise. Common therapies used included compression therapy (45.0%), gastric bypass (15.7%), and lower-extremity liposuction (14.0%). CONCLUSION: In a large, national, symptom survey, women with lipedema reported excess pain, swelling, and fat in the legs along with numerous symptoms beyond those classically described. Symptom responses to common therapies remain understudied.

Standardization vs Customization: Finding the Right Balance.

There is an inherent tension between standardization and customization of care delivery processes. The challenge for health care systems is to achieve the right balance. At its best, standardized work can create efficiencies that generate the additional time needed for personalized care. Similarly, at its best, customization allows the people within a system to accommodate the needs, preferences, and circumstances of the unique individuals and local communities they serve. We provide examples and offer principles to decide when standardization offers the most successful path and when customization may be preferred. We believe that, in sum, the balance has shifted too far toward standardization and that a rebalancing toward customization will benefit patients, clinicians, and the health care system.

Remembering Ben-Tzion Karsh's scholarship, impact, and legacy.

Dr. Ben-Tzion (Bentzi) Karsh was a mentor, collaborator, colleague, and friend who profoundly impacted the fields of human factors and ergonomics (HFE), medical informatics, patient safety, and primary care, among others. In this paper we honor his contributions by reflecting on his scholarship, impact, and legacy in three ways: first, through an updated simplified bibliometric analysis in 2020, highlighting the breadth of his scholarly impact from the perspective of the number and types of communities and collaborators with which and whom he engaged; second, through targeted reflections on the history and impact of Dr. Karsh's most cited works, commenting on the particular ways they impacted our academic community; and lastly, through quotes from collaborators and mentees, illustrating Dr. Karsh's long-lasting impact on his contemporaries and students.

Defining team membership in primary care: Qualitative analysis.

Primary healthcare is recognized as a team-based activity. Traditionally, a primary care team is considered to be a group of individuals that work together to satisfy patients' needs for primary care services. Past studies show wide variation in the scope and structure of teams across primary care organizations, indicating ambiguity in the definition of primary care teams. In addition, it remains unclear why certain healthcare professionals are included/excluded from another professional's "team". This study explored the question: "How do healthcare professionals in primary care clinics define who is on their team?" Qualitative content analysis was performed on interview data from clinicians and staff in eight primary care clinics regarding team definitions. All participants acknowledged the importance of working in a team, yet they had very different perspectives on how their teams were defined. Multiple themes emerged including borrowing the expertise of another professional, sharing of patient panel, and policy requirements. This study can inform healthcare professionals and administrators, as well as health IT designers, consultants, architects and researchers interested in primary care teams and how they function in a clinic environment.

It's time to bring human factors to primary care policy and practice.

Primary health care is a complex, highly personal, and non-linear process. Care is often sub-optimal and professional burnout is high. Interventions intended to improve the situation have largely failed. This is due to a lack of a deep understanding of primary health care. Human Factors approaches and methods will aid in understanding the cognitive, social and technical needs of these specialties, and in designing and testing proposed innovations. In 2012, Ben-Tzion Karsh, Ph.D., conceived a transdisciplinary conference to frame the opportunities for research human factors and industrial engineering in primary care. In 2013, this conference brought together experts in primary care and human factors to outline areas where human factors methods can be applied. The results of this expert consensus panel highlighted four major research areas: Cognitive and social needs, patient engagement, care of community, and integration of care. Work in these areas can inform the design, implementation, and evaluation of innovations in Primary Care. We provide descriptions of these research areas, highlight examples and give suggestions for future research.

Relationship between number of health problems addressed during a primary care patient visit and clinician workload.

INTRODUCTION: Primary care is complex due to multiple health problems being addressed in each patient visit. Little is known about the effect of the number of problems per encounter (NPPE) on the resulting clinician workload (CWL), as measured using the National Aeronautics and Space Administration Task Load Index (NASA-TLX). METHODS: We evaluated the relationship between NPPE and CWL across 608 adult patient visits, conducted by 31 clinicians, using hierarchical linear regression. Clinicians were interviewed about outlier visits to identify reasons for higher or lower than expected CWL. RESULTS: Mean NPPE was 3.30 ± 2.0 (sd) and CWL was 47.6 ± 18.4 from a maximum of 100. Mental demand, time demand and effort accounted for 71.5% of CWL. After adjustment for confounders, each additional problem increased CWL by 3.9 points (P < 0.001). Patient, problem, environmental and patient-physician relationship factors were qualitatively identified from interviews as moderators of this effect. CONCLUSION: CWL is positively related to NPPE. Several modifiable factors may enhance or mitigate this effect. Our findings have implications for using a Human Factors (HF) approach to managing CWL.

Protecting healing relationships in the age of electronic health records: report from an international conference.

We present findings of an international conference of diverse participants exploring the influence of electronic health records (EHRs) on the patient-practitioner relationship. Attendees united around a belief in the primacy of this relationship and the importance of undistracted attention. They explored administrative, regulatory, and financial requirements that have guided United States (US) EHR design and challenged patient-care documentation, usability, user satisfaction, interconnectivity, and data sharing. The United States experience was contrasted with those of other nations, many of which have prioritized patient-care documentation rather than billing requirements and experienced high user satisfaction. Conference participants examined educational methods to teach diverse learners effective patient-centered EHR use, including alternative models of care delivery and documentation, and explored novel ways to involve patients as healthcare partners like health-data uploading, chart co-creation, shared practitioner notes, applications, and telehealth. Future best practices must preserve human relationships, while building an effective patient-practitioner (or team)-EHR triad.

Meaningful use's benefits and burdens for US family physicians.

Objective: The federal meaningful use (MU) program was aimed at improving adoption and use of electronic health records, but practicing physicians have criticized it. This study was aimed at quantifying the benefits (ie, usefulness) and burdens (ie, workload) of the MU program for practicing family physicians. Materials and Methods: An interdisciplinary national panel of experts (physicians and engineers) identified the work associated with MU criteria during patient encounters. They conducted a national survey to assess each criterion's level of patient benefit and compliance burden. Results: In 2015, 480 US family physicians responded to the survey. Their demographics were comparable to US norms. Eighteen of 31 MU criteria were perceived as useful for more than half of patient encounters, with 13 of those being useful for more than two-thirds. Thirteen criteria were useful for less than half of patient encounters. Four useful criteria were reported as having a high compliance burden. Discussion: There was high variability in physicians' perceived benefits and burdens of MU criteria. MU Stage 1 criteria, which are more related to basic/routine care, were perceived as beneficial by most physicians. Stage 2 criteria, which are more related to complex and population care, were perceived as less beneficial and more burdensome to comply with. Conclusion: MU was discontinued, but the merit-based incentive payment system within the Medicare Access and CHIP Reauthorization Act of 2015 adopted its criteria. For many physicians, MU created a significant practice burden without clear benefits to patient care. This study suggests that policymakers should not assess MU in aggregate, but as individual criteria for open discussion.

Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

PURPOSE: Primary care physicians spend nearly 2 hours on electronic health record (EHR) tasks per hour of direct patient care. Demand for non-face-to-face care, such as communication through a patient portal and administrative tasks, is increasing and contributing to burnout. The goal of this study was to assess time allocated by primary care physicians within the EHR as indicated by EHR user-event log data, both during clinic hours (defined as 8:00 am to 6:00 pm Monday through Friday) and outside clinic hours. METHODS: We conducted a retrospective cohort study of 142 family medicine physicians in a single system in southern Wisconsin. All Epic (Epic Systems Corporation) EHR interactions were captured from "event logging" records over a 3-year period for both direct patient care and non-face-to-face activities, and were validated by direct observation. EHR events were assigned to 1 of 15 EHR task categories and allocated to either during or after clinic hours. RESULTS: Clinicians spent 355 minutes (5.9 hours) of an 11.4-hour workday in the EHR per weekday per 1.0 clinical full-time equivalent: 269 minutes (4.5 hours) during clinic hours and 86 minutes (1.4 hours) after clinic hours. Clerical and administrative tasks including documentation, order entry, billing and coding, and system security accounted for nearly one-half of the total EHR time (157 minutes, 44.2%). Inbox management accounted for another 85 minutes (23.7%). CONCLUSIONS: Primary care physicians spend more than one-half of their workday, nearly 6 hours, interacting with the EHR during and after clinic hours. EHR event logs can identify areas of EHR-related work that could be delegated, thus reducing workload, improving professional satisfaction, and decreasing burnout. Direct time-motion observations validated EHR-event log data as a reliable source of information regarding clinician time allocation.

The myth of standardized workflow in primary care.

OBJECTIVE: Primary care efficiency and quality are essential for the nation's health. The demands on primary care physicians (PCPs) are increasing as healthcare becomes more complex. A more complete understanding of PCP workflow variation is needed to guide future healthcare redesigns. METHODS: This analysis evaluates workflow variation in terms of the sequence of tasks performed during patient visits. Two patient visits from 10 PCPs from 10 different United States Midwestern primary care clinics were analyzed to determine physician workflow. Tasks and the progressive sequence of those tasks were observed, documented, and coded by task category using a PCP task list. Variations in the sequence and prevalence of tasks at each stage of the primary care visit were assessed considering the physician, the patient, the visit's progression, and the presence of an electronic health record (EHR) at the clinic. RESULTS: PCP workflow during patient visits varies significantly, even for an individual physician, with no single or even common workflow pattern being present. The prevalence of specific tasks shifts significantly as primary care visits progress to their conclusion but, notably, PCPs collect patient information throughout the visit. DISCUSSION: PCP workflows were unpredictable during face-to-face patient visits. Workflow emerges as the result of a "dance" between physician and patient as their separate agendas are addressed, a side effect of patient-centered practice. CONCLUSIONS: Future healthcare redesigns should support a wide variety of task sequences to deliver high-quality primary care. The development of tools such as electronic health records must be based on the realities of primary care visits if they are to successfully support a PCP's mental and physical work, resulting in effective, safe, and efficient primary care.

The impact of Advanced Life Support in Obstetrics (ALSO) training in low-resource countries.

OBJECTIVE: To examine the effects of the Advanced Life Support in Obstetrics (ALSO) program on maternal outcomes in four low-income countries. METHODS: Data were obtained from single-center, longitudinal cohort studies in Colombia, Guatemala, and Honduras, and from an uncontrolled prospective trial in Tanzania. RESULTS: In Colombia, maternal morbidity and the number of near misses increased after ALSO training, but maternal mortality decreased. In Guatemala, sustained reductions in overall maternal mortality and mortality from postpartum hemorrhage (PPH) were recorded after ALSO implementation. In Honduras, there was a significant decrease in episiotomy rates, and increases in active management of the third stage of labor (AMTSL), vacuum-assisted delivery, and reported comfort managing obstetric emergencies. In Tanzania, the frequency of PPH and severe PPH decreased after training, while management improved. CONCLUSION: In low-income countries, ALSO training was associated with decreased in-hospital maternal mortality, episiotomy use, and PPH. AMTSL and vacuum-assisted vaginal delivery increased in frequency after ALSO training.

Work system factors influencing physicians' screen sharing behaviors in primary care encounters.

OBJECTIVE: While the use of electronic health records (EHRs) in primary care has increased dramatically, its potential benefits need to be considered in light of potential negative impacts on physician-patient interactions and the increase in physician cognitive workload. This study aims to understand work system factors contributing to physicians' use of the EHR as a communication tool during primary-care encounters. METHODS: We interviewed 14 primary care physicians on their use of EHRs as a communication tool in patient visits. A qualitative content analysis guided by the work system model identified factors influencing physicians' decisions to share or not share the computer screen with their patients. RESULTS: The analysis revealed 26 factors that influenced physicians' decisions to share the screen, most related to the "task" (reviewing lab records), "tools and technology" (using algorithm calculators for risk prediction), or "individual" (patient interest) elements of the work system. The analysis revealed 15 factors that influenced physicians' decisions not to share the screen, most related to the "individual" (patient's acute pain), "organization" (insufficient time), or "task" (documenting embarrassing information) elements of the work system. CONCLUSION: Eleven physicians made individual decisions to share or not to share the screen in a particular visit based on work-system related factors. Three doctors always shared the screen, based on the idea that it is polite and builds trust. However, several physicians also reported that it was time consuming and caused unnecessary distractions. Understanding these factors is essential to effective EHR redesign and training for improving physician-patient communication.

Health information technology needs help from primary care researchers.

While health information technology (HIT) efforts are beginning to yield measurable clinical benefits, more is needed to meet the needs of patients and clinicians. Primary care researchers are uniquely positioned to inform the evidence-based design and use of technology. Research strategies to ensure success include engaging patient and clinician stakeholders, working with existing practice-based research networks, and using established methods from other fields such as human factors engineering and implementation science. Policies are needed to help support primary care researchers in evaluating and implementing HIT into everyday practice, including expanded research funding, strengthened partnerships with vendors, open access to information systems, and support for the Primary Care Extension Program. Through these efforts, the goal of improved outcomes through HIT can be achieved.

Effects of primary care team social networks on quality of care and costs for patients with cardiovascular disease.

PURPOSE: Cardiovascular disease is the leading cause of mortality and morbidity in the United States. Primary care teams can be best suited to improve quality of care and lower costs for patients with cardiovascular disease. This study evaluates the associations between primary care team communication, interaction, and coordination (ie, social networks); quality of care; and costs for patients with cardiovascular disease. METHODS: Using a sociometric survey, 155 health professionals from 31 teams at 6 primary care clinics identified with whom they interact daily about patient care. Social network analysis calculated variables of density and centralization representing team interaction structures. Three-level hierarchical modeling evaluated the link between team network density, centralization, and number of patients with a diagnosis of cardiovascular disease for controlled blood pressure and cholesterol, counts of urgent care visits, emergency department visits, hospital days, and medical care costs in the previous 12 months. RESULTS: Teams with dense interactions among all team members were associated with fewer hospital days (rate ratio [RR] = 0.62; 95% CI, 0.50-0.77) and lower medical care costs (-$556; 95% CI, -$781 to -$331) for patients with cardiovascular disease. Conversely, teams with interactions revolving around a few central individuals were associated with increased hospital days (RR = 1.45; 95% CI, 1.09-1.94) and greater costs ($506; 95% CI, $202-$810). Team-shared vision about goals and expectations mediated the relationship between social network structures and patient quality of care outcomes. CONCLUSIONS: Primary care teams that are more interconnected and less centralized and that have a shared team vision are better positioned to deliver high-quality cardiovascular disease care at a lower cost.

TreeEFM: calculating elementary flux modes using linear optimization in a tree-based algorithm.

MOTIVATION: Elementary flux modes (EFMs) analysis constitutes a fundamental tool in systems biology. However, the efficient calculation of EFMs in genome-scale metabolic networks (GSMNs) is still a challenge. We present a novel algorithm that uses a linear programming-based tree search and efficiently enumerates a subset of EFMs in GSMNs. RESULTS: Our approach is compared with the EFMEvolver approach, demonstrating a significant improvement in computation time. We also validate the usefulness of our new approach by studying the acetate overflow metabolism in the Escherichia coli bacteria. To do so, we computed 1 million EFMs for each energetic amino acid and then analysed the relevance of each energetic amino acid based on gene/protein expression data and the obtained EFMs. We found good agreement between previous experiments and the conclusions reached using EFMs. Finally, we also analysed the performance of our approach when applied to large GSMNs. AVAILABILITY AND IMPLEMENTATION: The stand-alone software TreeEFM is implemented in C++ and interacts with the open-source linear solver COIN-OR Linear program Solver (CLP).

Advances in network-based metabolic pathway analysis and gene expression data integration.

With the emergence of metabolic networks, novel mathematical pathway concepts were introduced in the past decade, aiming to go beyond canonical maps. However, the use of network-based pathways to interpret 'omics' data has been limited owing to the fact that their computation has, until very recently, been infeasible in large (genome-scale) metabolic networks. In this review article, we describe the progress made in the past few years in the field of network-based metabolic pathway analysis. In particular, we review in detail novel optimization techniques to compute elementary flux modes, an important pathway concept in this field. In addition, we summarize approaches for the integration of metabolic pathways with gene expression data, discussing recent advances using network-based pathway concepts.