Novel Nonproprietary Measures of Ambulatory Electronic Health Record Use Associated with Physician Work Exhaustion

Background  Accumulating evidence indicates an association between physician electronic health record (EHR) use after work hours and occupational distress including burnout. These studies are based on either physician perception of time spent in EHR through surveys which may be prone to bias or by utilizing vendor-defined EHR use measures which often rely on proprietary algorithms that may not take into account variation in physician''s schedules which may underestimate time spent on the EHR outside of scheduled clinic time. The Stanford team developed and refined a nonproprietary EHR use algorithm to track the number of hours a physician spends logged into the EHR and calculates the Clinician Logged-in Outside Clinic (CLOC) time, the number of hours spent by a physician on the EHR outside of allocated time for patient care. Objective  The objective of our study was to measure the association between CLOC metrics and validated measures of physician burnout and professional fulfillment. Methods  Physicians from adult outpatient Internal Medicine, Neurology, Dermatology, Hematology, Oncology, Rheumatology, and Endocrinology departments who logged more than 8 hours of scheduled clinic time per week and answered the annual wellness survey administered in Spring 2019 were included in the analysis. Results  We observed a statistically significant positive correlation between CLOC ratio (defined as the ratio of CLOC time to allocated time for patient care) and work exhaustion (Pearson''s r  = 0.14; p  = 0.04), but not interpersonal disengagement, burnout, or professional fulfillment. Conclusion  The CLOC metrics are potential objective EHR activity-based markers associated with physician work exhaustion. Our results suggest that the impact of time spent on EHR, while associated with exhaustion, does not appear to be a dominant factor driving the high rates of occupational burnout in physicians.     

Impact of Changes in EHR Use during COVID-19 on Physician Trainee Mental Health

Objectives  This article investigates the association between changes in electronic health record (EHR) use during the coronavirus disease 2019 (COVID-19) pandemic on the rate of burnout, stress, posttraumatic stress disorder (PTSD), depression, and anxiety among physician trainees (residents and fellows). Methods  A total of 222 (of 1,375, 16.2%) physician trainees from an academic medical center responded to a Web-based survey. We compared the physician trainees who reported that their EHR use increased versus those whose EHR use stayed the same or decreased on outcomes related to depression, anxiety, stress, PTSD, and burnout using univariable and multivariable models. We examined whether self-reported exposure to COVID-19 patients moderated these relationships. Results  Physician trainees who reported increased use of EHR had higher burnout (adjusted mean, 1.48 [95% confidence interval [CI] 1.24, 1.71] vs. 1.05 [95% CI 0.93, 1.17]; p  = 0.001) and were more likely to exhibit symptoms of PTSD (adjusted mean = 15.09 [95% CI 9.12, 21.05] vs. 9.36 [95% CI 7.38, 11.28]; p  = 0.035). Physician trainees reporting increased EHR use outside of work were more likely to experience depression (adjusted mean, 8.37 [95% CI 5.68, 11.05] vs. 5.50 [95% CI 4.28, 6.72]; p  = 0.035). Among physician trainees with increased EHR use, those exposed to COVID-19 patients had significantly higher burnout (2.04, p  < 0.001) and depression scores (14.13, p  = 0.003). Conclusion  Increased EHR use was associated with higher burnout, depression, and PTSD outcomes among physician trainees. Although preliminary, these findings have implications for creating systemic changes to manage the wellness and well-being of trainees.     

An Analysis of Electronic Health Record Work to Manage Asynchronous Clinical Messages among Breast Cancer Care Teams

Objective  Asynchronous messaging is an integral aspect of communication in clinical settings, but imposes additional work and potentially leads to inefficiency. The goal of this study was to describe the time spent using the electronic health record (EHR) to manage asynchronous communication to support breast cancer care coordination. Methods  We analyzed 3 years of audit logs and secure messaging logs from the EHR for care team members involved in breast cancer care at Vanderbilt University Medical Center. To evaluate trends in EHR use, we combined log data into sequences of events that occurred within 15 minutes of any other event by the same employee about the same patient. Results  Our cohort of 9,761 patients were the subject of 430,857 message threads by 7,194 employees over a 3-year period. Breast cancer care team members performed messaging actions in 37.5% of all EHR sessions, averaging 29.8 (standard deviation [SD] = 23.5) messaging sessions per day. Messaging sessions lasted an average of 1.1 (95% confidence interval: 0.99–1.24) minutes longer than nonmessaging sessions. On days when the cancer providers did not otherwise have clinical responsibilities, they still performed messaging actions in an average of 15 (SD = 11.9) sessions per day. Conclusion  At our institution, clinical messaging occurred in 35% of all EHR sessions. Clinical messaging, sometimes viewed as a supporting task of clinical work, is important to delivering and coordinating care across roles. Measuring the electronic work of asynchronous communication among care team members affords the opportunity to systematically identify opportunities to improve employee workload.     

Scoping Meta‐Review: Introducing a New Methodology

For researchers, policymakers, and practitioners facing a new field, undertaking a systematic review can typically present a challenge due to the enormous number of relevant papers. A scoping review is a method suggested for addressing this dilemma; however, scoping reviews present their own challenges. This paper introduces the “scoping meta‐review” (SMR) for expanding current methodologies and is based on our experiences in mapping the field of consumer engagement in healthcare. During this process, we developed the novel SMR method. An SMR combines aspects of a scoping review and a meta‐review to establish an evidence‐based map of a field. Similar to a scoping review, an SMR offers a practical and flexible methodology. However, unlike in a traditional scoping review, only systematic reviews are included. Stages of the SMR include: undertaking a preliminary nonsystematic review; building a search strategy; interrogating academic literature databases; classifying and excluding studies based on titles and abstracts; saving the refined database of references; revising the search strategy; selecting and reviewing the full text papers; and thematically analyzing the selected texts and writing the report. The main benefit of an SMR is to map a new field based on high‐level evidence provided by systematic reviews.     

Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine

Objective  The change in performance of machine learning models over time as a result of temporal dataset shift is a barrier to machine learning-derived models facilitating decision-making in clinical practice. Our aim was to describe technical procedures used to preserve the performance of machine learning models in the presence of temporal dataset shifts. Methods  Studies were included if they were fully published articles that used machine learning and implemented a procedure to mitigate the effects of temporal dataset shift in a clinical setting. We described how dataset shift was measured, the procedures used to preserve model performance, and their effects. Results  Of 4,457 potentially relevant publications identified, 15 were included. The impact of temporal dataset shift was primarily quantified using changes, usually deterioration, in calibration or discrimination. Calibration deterioration was more common ( n  = 11) than discrimination deterioration ( n  = 3). Mitigation strategies were categorized as model level or feature level. Model-level approaches ( n  = 15) were more common than feature-level approaches ( n  = 2), with the most common approaches being model refitting ( n  = 12), probability calibration ( n  = 7), model updating ( n  = 6), and model selection ( n  = 6). In general, all mitigation strategies were successful at preserving calibration but not uniformly successful in preserving discrimination. Conclusion  There was limited research in preserving the performance of machine learning models in the presence of temporal dataset shift in clinical medicine. Future research could focus on the impact of dataset shift on clinical decision making, benchmark the mitigation strategies on a wider range of datasets and tasks, and identify optimal strategies for specific settings.     

Measuring Electronic Health Record Use in the Pediatric ICU Using Audit-Logs and Screen Recordings

Background  Time spent in the electronic health record (EHR) has been identified as an important unit of measure for health care provider clinical activity. The lack of validation of audit-log based inpatient EHR time may have resulted in underuse of this data in studies focusing on inpatient patient outcomes, provider efficiency, provider satisfaction, etc. This has also led to a dearth of clinically relevant EHR usage metrics consistent with inpatient provider clinical activity. Objective  The aim of our study was to validate audit-log based EHR times using observed EHR-times extracted from screen recordings of EHR usage in the inpatient setting. Methods  This study was conducted in a 36-bed pediatric intensive care unit (PICU) at Lucile Packard Children''s Hospital Stanford between June 11 and July 14, 2020. Attending physicians, fellow physicians, hospitalists, and advanced practice providers with ≥0.5 full-time equivalent (FTE) for the prior four consecutive weeks and at least one EHR session recording were included in the study. Citrix session recording player was used to retrospectively review EHR session recordings that were captured as the provider interacted with the EHR. Results  EHR use patterns varied by provider type. Audit-log based total EHR time correlated strongly with both observed total EHR time ( r  = 0.98, p  < 0.001) and observed active EHR time ( r  = 0.95, p  < 0.001). Each minute of audit-log based total EHR time corresponded to 0.95 (0.87–1.02) minutes of observed total EHR time and 0.75 (0.67–0.83) minutes of observed active EHR time. Results were similar when stratified by provider role. Conclusion  Our study found inpatient audit-log based EHR time to correlate strongly with observed EHR time among pediatric critical care providers. These findings support the use of audit-log based EHR-time as a surrogate measure for inpatient provider EHR use, providing an opportunity for researchers and other stakeholders to leverage EHR audit-log data in measuring clinical activity and tracking outcomes of workflow improvement efforts longitudinally and across provider groups.     

Health Information Exchange between Specialists and General Practitioners Benefits Rural Patients

Background  Health information exchange (HIE) may improve diagnostic accuracy, treatment efficacy, and safety by providing treating physicians with expert advice. However, most previous studies on HIE have been observational in nature. Objectives  To examine whether collaboration between specialists and general practitioners (GPs) in rural areas via HIE can improve outcomes among patients at low-to-moderate risk of cardiovascular disease, kidney disease, and stroke. Methods  In this randomized controlled trial, the Miyagi Medical and Welfare Information Network was used for HIE. We evaluated the clinical data of 1,092 patients aged ≥65 years living in the rural areas of the Miyagi Prefecture and receiving care from GPs only. High-risk patients were immediately referred to specialists, whereas low-to-moderate risk patients were randomly assigned to an intervention group in which GPs were advised by specialists through HIE ( n  = 518, 38% male, mean age = 76 ± 7 years) or a control group in which GPs received no advice by specialists ( n  = 521, 39% male, mean age = 75 ± 7 years). Results  In the intention-to-treat analysis, all-cause mortality and cumulative incidence of serious adverse events (e.g., hospital admission or unexpected referral to specialists) did not differ between the groups. However, per-protocol analysis controlling for GP adherence with specialist recommendations revealed significantly reduced all-cause mortality ( p  = 0.04) and cumulative serious adverse event incidence ( p  = 0.04) in the intervention group compared with the control group. Conclusion  HIE systems may improve outcomes among low-to-moderate risk patients by promoting greater collaboration between specialists and GPs, particularly in rural areas with few local specialists.     

Associations between lifestyle,erectile dysfunction and healthcare seeking: a population-based study

Objective: To investigate associations between age, lifestyle and erectile dysfunction (ED) in the general population and to explore associations between age, lifestyle and contact with a general practitioner (GP) regarding ED.Design: Cross-sectional web-based questionnaire study.Setting: The general Danish population.Subjects: A randomly selected sample of 48,910 men aged 20 years and older.Main outcome measures: Prevalence of ED and probability of contacting a GP regarding ED. In logistic regression models we analysed associations between age, smoking status, alcohol consumption, body mass index (BMI), and self-rated physical fitness on both ED and GP contact.Results: A total of 22,198 men (47.6%) completed the question regarding ED. The overall prevalence of ED was 19.3%, varying from 2.3% among men aged 20–29 years to 55.3% among men aged 80 years and above. 31.8% of men reporting ED had contacted a GP regarding ED. Increasing age, current or former smoking, complete alcohol abstinence or alcohol consumption above seven units per week, high BMI, and poor self-rated physical fitness were significantly associated with reporting ED. The proportion of GP contacts was significantly associated with age. Overall, no significant associations between lifestyle and healthcare seeking were observed, although lower odds of GP contact were found when physical fitness was rated as poor.Conclusion: Reporting ED and GP contact were significantly associated with age. Furthermore, lifestyle was significantly associated with reporting ED, but largely not associated with healthcare seeking. These findings are important for future interventions aiming to improve diagnosis and treatment of ED.

Key points

• Experiencing erectile dysfunction is frequent in the general population, especially among older men.
•   • In this large-scale national survey, age and lifestyle were significantly associated with reporting erectile dysfunction.
•   • Healthcare seeking with erectile dysfunction was significantly associated with age, but not with lifestyle.
•   • Diagnosis and treatment of erectile dysfunction might be challenged when erectile dysfunction does not lead to healthcare seeking.

     

Characteristics of patients assessed for cognitive decline in primary healthcare,compared to patients assessed in specialist healthcare

Objective: The aim of this study was to describe patients assessed for cognitive decline in primary healthcare, compared to patients assessed in specialist healthcare and to examine factors associated with depression.Design: This was an observational study.Setting: Fourteen outpatient clinics and 33 general practitioners and municipality memory teams across Norway.Subjects: A total of 226 patients assessed in primary healthcare and 1595 patients assessed in specialist healthcare outpatient clinics.Main outcome measures: Cornell scale for depression in dementia (CSDD), Mini-Mental Status Examination (MMSE), Clock drawing test, Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE), Instrumental Activities of Daily Living, Personal Self-Maintenance Scale, Relatives’ stress scale (RSS), and Neuropsychiatric Inventory Questionnaire (NPI-Q)Results: Patients assessed in primary healthcare were older (mean age 81.3 vs 73.0 years), less educated, had poorer cognition (MMSE median 22 vs 25), more limitations in activities of daily living (ADL), more behavioural and psychological symptoms of dementia (BPSD), more depressive symptoms (CSDD median 7 vs 5), more often lived alone (60% vs 41%) and were more often diagnosed with dementia (86% vs 47%) compared to patients diagnosed in specialist healthcare. Depression was associated with female gender, older age, more severe decline in cognitive functioning (IQCODE, OR 1.65), higher caregiver burden (RSS, OR 1.10) and with being assessed in primary healthcare (OR 1.53).Conclusion: Post-diagnostic support tailored to patients diagnosed with dementia in primary healthcare should consider their poor cognitive function and limitations in ADL and that these people often live alone, have BPSD and depression.

Key points

• People diagnosed in Norwegian primary healthcare had more needs than people diagnosed in specialist healthcare.
•   • They were older, less educated, had poorer cognitive functioning and activity limitations, more often lived alone, and had more BPSD and depression.
•   • Depression was associated with being female, older, having cognitive decline, being assessed in primary care and the caregiver experiencing burden
•   • Post diagnostic support for people with dementia should be tailored to the individual’s symptoms and needs.

     

Direct access from general practice to transvaginal ultrasound for early detection of ovarian cancer: a feasibility study

ObjectiveTo investigate the feasibility of providing general practitioners (GPs) direct and fast referral access to transvaginal ultrasound (TVUS).DesignA prospective cohort study.SettingA total of 232 Danish general practices in parts of the Central Denmark Region.SubjectsWomen aged ≥40 years who consulted their GP for vague and non-specific symptoms (n = 479).Main outcome measuresThe feasibility assessment included the GPs’ referral rate, indications for referral, management of test results, and findings from TVUS.ResultsA total of 479 women were referred to TVUS. The examinations revealed abnormalities in 104 (21.7%) women. Additional investigations were needed in 68 (14.2%) women of whom seven (1.5%) underwent major surgery. No case of ovarian cancer was diagnosed during the study period or the 6-month follow-up. However, three (0.6%) women with an abnormal transvaginal ultrasound were diagnosed with urogynecological cancer; this yielded a PPV of 4.4% (95% confidence interval: 1.5–12.2) and an NPV of 100.0% (95% confidence interval: 96.7–100.0) for urogynecological cancer.ConclusionProviding GPs with direct access to transvaginal ultrasound was feasible; 80% of the investigated women were referred back to the GP, 14% were further investigated, 0.6% were diagnosed with urogynecological cancer, and 1.5% had major procedures performed without complications.ImplicationsDirect access to TVUS could be an important pathway to ensure fast evaluation of women presenting with vague non-specific symptoms of potential ovarian cancer. Future studies should explore the patient experience, cancer outcomes, and health economics issues.

KEY POINTS

•    Current awareness  • GPs have no fast referral option for women presenting with vague non-specific symptoms that could indicate underlying ovarian cancer.   Key findings  • We offered GPs direct and fast referral access to TVUS; 51.7% of practices used the opportunity.  • The GPs referred 479 women to TVUS; 104 had an abnormal TVUS and 68 needed additional investigations.  • Seven women underwent major surgery, leading to three cases of urogynecological cancer. No woman had a false negative TVUS result.

     

Development and Evaluation of an Intravenous Infusion Sequence Annotation System

Objectives  The sequence of intravenous infusions may impact the efficacy, safety, and cost of intravenous medications. The study describes and assesses a computerized clinical decision support annotation system capable of analyzing the sequence of intravenous infusions. Methods  All intravenous medications on the hospital formulary were analyzed based on factors that impact intravenous infusion sequence. Eight pharmacy infusion knowledge databases were constructed based on Hospital Infusion Standards. These databases were incorporated into the computerized sequence annotation module within the electronic health record system. The annotation process was changed from pharmacists'' manual annotation (phase 1) to computer-aided pharmacist manual annotation (phase 2) to automated computer annotation (phase 3). Results  Comparing phase 2 to phase 1, there were significant differences in sequence annotation with regards to the percentage of hospital wards annotated (100% vs. 4.65%, chi-square  = 180.95, p  < 0.001), percentage of patients annotated (64.18% vs. 0.52%, chi-square = 90.46, p  < 0.001), percentage of intravenous orders annotated (75.67% vs. 0.77%, chi-square = 118.78, p  < 0.001), and the number of tubing flushes per ward per day (118.51 vs. 2,115.00, p  < 0.001). Compared with phase 1, there were significant cost savings in tubing flushes in phase 2 and phase 3. Compared with phase 1, there was significant difference in the time nurses spent on tubing flushes in phase 2 and phase 3 (1,244.94 vs. 21,684.8 minutes, p  < 0.001; 1,369.51 vs. 21,684.8 minutes, p  < 0.001). Compared with phase 1, significantly less time was required for pharmacist annotation in phase 2 and phase 3 (90.6 vs. 4,753.57 minutes, p  < 0.001; 0.05 vs. 4,753.57 minutes, p  < 0.001). Conclusion  A computerized infusion annotation system is efficient in sequence annotation and significant savings in tubing flushes can be achieved as a result.     

Clinician and Health Care Leaders' Experiences with—and Perceptions of—COVID-19 Documentation Reduction Policies and Practices

Background  Substantial strategies to reduce clinical documentation were implemented by health care systems throughout the coronavirus disease-2019 (COVID-19) pandemic at national and local levels. This natural experiment provides an opportunity to study the impact of documentation reduction strategies on documentation burden among clinicians and other health professionals in the United States. Objectives  The aim of this study was to assess clinicians'' and other health care leaders'' experiences with and perceptions of COVID-19 documentation reduction strategies and identify which implemented strategies should be prioritized and remain permanent post-pandemic. Methods  We conducted a national survey of clinicians and health care leaders to understand COVID-19 documentation reduction strategies implemented during the pandemic using snowball sampling through professional networks, listservs, and social media. We developed and validated a 19-item survey leveraging existing post-COVID-19 policy and practice recommendations proposed by Sinsky and Linzer. Participants rated reduction strategies for impact on documentation burden on a scale of 0 to 100. Free-text responses were thematically analyzed. Results  Of the 351 surveys initiated, 193 (55%) were complete. Most participants were informaticians and/or clinicians and worked for a health system or in academia. A majority experienced telehealth expansion (81.9%) during the pandemic, which participants also rated as highly impactful (60.1–61.5) and preferred that it remain (90.5%). Implemented at lower proportions, documenting only pertinent positives to reduce note bloat (66.1 ± 28.3), c hanging compliance rules and performance metrics to eliminate those without evidence of net benefit (65.7 ± 26.3), and electronic health record (EHR) optimization sprints (64.3 ± 26.9) received the highest impact scores compared with other strategies presented; support for these strategies widely ranged (49.7–63.7%). Conclusion  The results of this survey suggest there are many perceived sources of and solutions for documentation burden. Within strategies, we found considerable support for telehealth, documenting pertinent positives, and changing compliance rules. We also found substantial variation in the experience of documentation burden among participants.     

The Effect of WeChat on Parental Care Burden,Anxiety, and Depression in Children after CHD Surgery during COVID-19 Pandemic

Objectives  This study aimed to explore the effect of applying WeChat in the follow-up and health education of children after congenital heart disease (CHD) surgery during the coronavirus disease 2019 (COVID-19) epidemic. Methods  Data from 135 children were retrospectively analyzed. The care burden, anxiety, depression, and satisfaction of the parents of patients at home were analyzed and compared. Results  One month after discharge, the Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), Zarit Burden Interview (ZBI), and Patient Satisfaction Questionnaire-18 scores of the WeChat follow-up group were significantly better than those of the outpatient follow-up group ( p  < 0.05). Compared with the discharge time, the SAS, SDS, and ZBI scores were significantly improved in the WeChat follow-up group but not in the outpatient follow-up group ( p  < 0.05). Conclusion  During the COVID-19 epidemic, the application of WeChat to the follow-up management of children after CHD surgery can effectively reduce care burden and relieve anxiety and depression in parents at home. It can also improve the satisfaction of parents with medical treatment.     

eHealth Literacy of Medical and Health Science Students and Factors Affecting eHealth Literacy in an Ethiopian University: A Cross-Sectional Study

Background  eHealth literacy is individual''s ability to look for, understand, and evaluate health information from electronic sources. Integrating eHealth literacy to the health system could help lower health care costs and ensure health equity. Despite its importance, the eHealth literacy level in Ethiopia has not been studied on medical and health science students, who are important parties in the health system. Understanding their level of eHealth literacy augments practice of health care, efficiency in education, and use of eHealth technologies. Objective  This research study aims to determine eHealth literacy level and identify its associated factors among medical and health science students in University of Gondar (UoG). Methods  An institution-based cross-sectional study was conducted from March to May 2019 among undergraduate medical and health science students in the UoG. Stratified multistage sampling was used. The eHealth literacy scale was used to measure eHealth literacy. A binary logistic regression model was fitted to measure association between eHealth literacy and the independent variables. Results  A total of 801 students participated in this study with a 94.6% of response rate. The majority (60%) were male and previously lived-in urban areas (68%). The mean eHealth literacy score was 28.7 and 60% of the participants possessed high eHealth literacy. Using health-specific Web sites (adjusted odds ratio [AOR] = 2.84, 95% confidence interval [CI]: 1.86–4.33), having higher Internet efficacy (AOR = 2.26, 95% CI: 1.56–3.26), perceived usefulness of the Internet (AOR = 3.33, 95% CI: 1.95–5.69), medical app use (AOR = 1.70, 95% CI: 1.13–2.55), being female (AOR = 1.55, 95% CI: 1.08–2.22), and being health informatics student (AOR = 2.02, 95% CI: 1.149–3.148) affect a high eHealth literacy level. Conclusion  The level of eHealth literacy in this study was moderate. Using specific reputable health Web sites, using smartphone medical applications, and Internet efficacy determine eHealth literacy significantly.     

Leveraging American College of Obstetricians and Gynecologists Guidelines for Point-of-Care Decision Support in Obstetrics

Background  The American College of Obstetricians and Gynecologists (ACOG) provides numerous narrative documents containing formal recommendations and additional narrative guidance within the text. These guidelines are not intended to provide a complete “care pathway” for patient management, but these elements of guidance can be useful for clinical decision support (CDS) in obstetrical and gynecologic care and could be exposed within electronic health records (EHRs). Unfortunately, narrative guidelines do not easily translate into computable CDS guidance. Objective  This study aimed to describe a method of translating ACOG clinical guidance into clear, implementable items associated with specific obstetrical problems for integration into the EHR. Methods  To translate ACOG clinical guidance in Obstetrics into implementable CDS, we followed a set of steps including selection of documents, establishing a problem list, extraction and classification of recommendations, and assigning tasks to those recommendations. Results  Our search through ACOG clinical guidelines produced over 500 unique documents. After exclusions, and counting only sources relevant to obstetrics, we used 245 documents: 38 practice bulletins, 113 committee opinions, 16 endorsed publications, 1 practice advisory, 2 task force and work group reports, 2 patient education, 2 obstetric care consensus, 60 frequently asked questions (FAQ), 1 women''s health care guidelines, 1 Prolog series, and 9 others (non-ACOG). Recommendations were classified as actionable ( n  = 576), informational ( n  = 493), for in-house summary ( n  = 124), education/counseling ( n  = 170), policy/advocacy ( n  = 33), perioperative care ( n  = 4), delivery recommendations ( n  = 50), peripartum care ( n  = 13), and non-ACOG ( n  = 25). Conclusion  We described a methodology of translating ACOG narrative into a semi-structured format that can be more easily applied as CDS in the EHR. We believe this work can contribute to developing a library of information within ACOG that can be continually updated and disseminated to EHR systems for the most optimal decision support. We will continue documenting our process in developing executable code for decision support.     

Disparities in Telemedicine Access: A Cross-Sectional Study of a Newly Established Infrastructure during the COVID-19 Pandemic

Background  The COVID-19 pandemic led to dramatic increases in telemedicine use to provide outpatient care without in-person contact risks. Telemedicine increases options for health care access, but a “digital divide” of disparate access may prevent certain populations from realizing the benefits of telemedicine. Objectives  The study aimed to understand telemedicine utilization patterns after a widespread deployment to identify potential disparities exacerbated by expanded telemedicine usage. Methods  We performed a cross-sectional retrospective analysis of adults who scheduled outpatient visits between June 1, 2020 and August 31, 2020 at a single-integrated academic health system encompassing a broad range of subspecialties and a large geographic region in the Upper Midwest, during a period of time after the initial surge of COVID-19 when most standard clinical services had resumed. At the beginning of this study period, approximately 72% of provider visits were telemedicine visits. The primary study outcome was whether a patient had one or more video-based visits, compared with audio-only (telephone) visits or in-person visits only. The secondary outcome was whether a patient had any telemedicine visits (video-based or audio-only), compared with in-person visits only. Results  A total of 197,076 individuals were eligible (average age = 46 years, 56% females). Increasing age, rural status, Asian or Black/African American race, Hispanic ethnicity, and self-pay/uninsured status were significantly negatively associated with having a video visit. Digital literacy, measured by patient portal activation status, was significantly positively associated with having a video visit, as were Medicaid or Medicare as payer and American Indian/Alaskan Native race. Conclusion  Our findings reinforce previous evidence that older age, rural status, lower socioeconomic status, Asian race, Black/African American race, and Hispanic/Latino ethnicity are associated with lower rates of video-based telemedicine use. Health systems and policies should seek to mitigate such barriers to telemedicine when possible, with efforts such as digital literacy outreach and equitable distribution of telemedicine infrastructure.     

Sexual Orientation Demographic Data in a Clinical Cohort of Transgender Patients

Background  There are specific issues regarding sexual orientation (SO) collection and analysis among transgender and nonbinary patients. A limitation to meaningful SO and gender identity (GI) data collection is their consideration as a fixed trait or demographic data point. Methods  A de-identified patient database from a single electronic health record (EHR) that allows for searching any discrete data point in the EHR was used to query demographic data (sex assigned at birth and current GI) for transgender individuals from January 2011 to March 2020 at a large urban tertiary care academic health center. Results  A cohort of transgender individuals were identified by using EHR data from a two-step demographic question. Almost half of male identified (46.70%, n  = 85) and female identified (47.51%, n  = 86) individuals had “heterosexual/straight” input for SO. Overall, male and female identified (i.e., binary) GI aggregate categories had similar SO responses. Assigned male at birth (AMAB) nonbinary individuals ( n  = 6) had “homosexual/gay” SO data input. Assigned female at birth (AFAB) nonbinary individuals ( n  = 56) had almost half “something else” SO data input (41.67%, n  = 15). Individuals with “choose not to disclose” for GI ( n  = 249) almost all had “choose not to disclose” SO data (96.27%, n  = 232). Conclusion  Current SO categories do not fully capture transgender individuals'' identities and experiences, and limit the clinical and epidemiological utility of collecting this data in the current form. Anatomical assumptions based on SO should be seen as a potential shortcoming in over-reliance on SO as an indicator of screening needs and risk factors.     

Uptake of an Integrated Electronic Questionnaire System in Community Pediatric Clinics

Objective  The study aimed to evaluate an integrated electronic questionnaire system implementation in outpatient community pediatric practices on workflow, completion rates, and recorded scores. Methods  We evaluated the implementation and outcomes of an integrated electronic questionnaire system at 45 community pediatric practices that used standardized questionnaires to screen for autism, depression, and substance use and to measure asthma control. Electronic health record (EHR) data for all well child visits were extracted for the 3 months before and after implementation. We used statistical process control charts to evaluate questionnaire completion rates and Chi-square tests to evaluate screening completion and positive screening rates. The collection and entry of questionnaire information was observed and timed. Results  EHR data included 107,120 encounters across 45 practices that showed significant and sustained improvement in completion rates for all questionnaires. The rate of recorded concerning questionnaires decreased for asthma control (19.3 vs. 12.8%, p  < 0.001), stayed the same for autism (96.6 vs. 96.2%, p  = 0.38), decreased for depression (9.5 vs. 6.7%, p ≤ 0.001), and increased for any substance use (9.8 vs. 12.8%, p  < 0.001). Twelve practices were observed, and patient time and staff time managing questionnaires were decreased after implementation. Discussion  Electronic questionnaire administration saved staff time and patient time. We report overall improvement in questionnaire completion rates, with notable variation in improvement in completion across practices and in change in concerning recorded result rates across measures. Conclusion  Conversion of four standard paper questionnaires to an integrated electronic system reduces patient and staff time while increasing completion rates when well integrated into routine care.     

GPs’ perspectives of the patient encounter – in the context of standardized cancer patient pathways

Objective: We aim to explore how GPs assign meanings and act upon patients’ symptoms in primary care encounters in the context of standardized cancer patient pathways (CPPs).Design, setting and subjects: Thirteen individual interviews were conducted with GPs, at primary healthcare centers (n = 4) in one county in northern Sweden. Interviews were analyzed using grounded theory method. The results were then linked to symbolic interactionism.Main outcome measures: GPs’ perspectives about assigning meanings to patients’ presented symptoms and perception about CPPs.Results: In the encounter, GPs engaged in two simultaneous interactions, one with patients’ symptoms – and the other with CPPs. The core category Disentangling patients’ care trajectory consists of three categories, interpreted as GPs’ strategies developed to assign meaning to symptoms. These strategies are carried out not in a straightforward manner but rather in a conflicting way, illuminating the complexity of GPs’ daily work.Conclusions: Interacting with patients is vital for assigning meaning to presented symptoms. However, nowadays GPs are not only required to interact with patients, they are also required to interact with CPPs. These standardized routines might create pressure and demands on GPs, especially for those experiencing a lack of information about CPPs. Beside of carrying out the challenging patient/person-centered dialogues and interpreting presented symptoms, GPs also need to link the interpreted symptoms to CPPs. Therefore, it is essential that GPs are given opportunities at their workplaces to continuously be informed and be supported in order to practice CPPs and thereby optimize trajectories for patients undergoing cancer diagnostics.

Key points

•  Current awareness:
•  • GPs deliberation about patients’ trajectories is a complex process, often dealing with vague symptoms. How CPPs influence this process within the encounter has not been studied.
•  Main statements:  • GPs in our study were involved in two simultaneous interactions, one with patients’ symptoms in the encounter – and the other with CPPs within the healthcare organization.
•  • Symbolic interactionism helped capture how GPs deliberated about conflicting and paradoxical aspects of the encounter, in terms of balancing two contradictory ways of action that GPs face when providing patient/person-centered care and linking to CPPs.
•  • Based on our results, primary care needs support from healthcare organizations to build capacity about CPPs and how to use them.