Journal of General Internal Medicine最新文献

Background: The Veterans Health Administration (VHA) implemented the Clinical Resource Hub (CRH) program to fill staffing gaps in primary care (PC) clinics via telemedicine and maintain veterans' healthcare access.

Objective: To evaluate PC wait times before and after CRH implementation.

Design: Comparative interrupted time series analysis among a retrospective observational cohort of PC clinics who did and did not use CRH during pre-implementation (October 2018-September 2019) and post-implementation (October 2019-February 2020) periods.

Participants: Clinics completing ≥10 CRH visits per month for 2 consecutive months and propensity matched control clinics.

Main measures: Two measures of patient access (i.e., established, and new patient wait times) and one measure of clinic capacity (i.e., third next available appointment) were assessed. Clinics using CRH were 1:1 propensity score matched across clinical and demographic characteristics. Comparative interrupted time series models used linear mixed effects regression with random clinic-level intercepts and triple interaction (i.e., CRH use, pre- vs. post-implementation, and time) for trend and point estimations.

Key results: PC clinics using CRH (N = 79) were matched to clinics not using CRH (N = 79). In the 12-month pre-implementation, third next available time increased in CRH clinics (0.16 days/month; 95% CI = [0.07, 0.25]), and decreased in the 5 months post-implementation (-0.58 days/month; 95% CI = [-0.90, -0.27]). Post-implementation third next available time also decreased in control clinics (-0.48 days/month; 95% CI = [-0.81, -0.17]). Comparative differences remained non-significant. There were no statistical differences in established or new patient wait times by CRH user status, CRH implementation, or over time.

Conclusions: In a national VHA telemedicine program developed to provide gap coverage for PC clinics, no wait time differences were observed between clinics using and not using CRH services. This hub-and-spoke telemedicine service is an effective model to provide gap coverage while maintaining access. Further investigation of quality and long-term access remains necessary.

Congressional hearings and public reports have drawn attention to problems afflicting Medicare Advantage (MA), the privatized version of Medicare. Private plans became a staple of Medicare through the passage of the Tax Equity and Fiscal Responsibility Act of 1982 (TEFRA). Congress passed this law during a furor of privatization, when think tanks and powerful financial interests emphasized the power of corporations' profit incentive to improve the efficiency and quality of social enterprise. Yet the surging criticism of MA suggests a misalignment between the financial interest of some MA plans and the well-being of their patient populations. The criticisms range from deceptive marketing, ghost networks, and patient cherry-picking to unethical prior authorization denials and defrauding the government. In total, MA plans cost the federal government 22% more per patient than if these patients in question were enrolled in traditional Medicare. Moreover, it is not clear that this additional funding is producing proportional benefits. These developments raise questions about the presence of a profit incentive in Medicare, and perhaps health care more broadly.

Workplace violence (WPV) is a commonly reported occupational hazard in healthcare and its prevalence is increasing. WPV occurs in all types of practice settings, but little is known about WPV in primary care settings in the United States (US). Because primary care practice settings differ from the inpatient settings, further examination of WPV in primary care is warranted. Our objective was to summarize the available literature highlight important gaps. We conducted a search using Pubmed and OVID for US studies of WPV in US-based adult primary care practices. Studies including only pediatric populations were excluded. Due to the lack of available literature conducted in US primary care settings, we expanded our search to include international studies. We identified 70 studies of which 5 were US based. Due to the lack of significant numbers of US-based studies, we opted to conduct a narrative review of all available studies. The evidence shows that WPV is a common occurrence in primary care settings in many countries and that the majority of primary care clinicians have experienced at least some form of non-physical violence in their careers. Most of the studies conducted were cross-sectional in design and reported on both non-physical and physical forms of WPV. There was not a consistent trend between genders in experiencing the major forms of WPV, but women were consistently more likely to be subjected to sexual harassment. Potential root causes for WPV could generally be categorized as patient-level, clinician-level, clinical encounter specific, and operational root causes. While most WPV was found to be non-physical, it still had significant emotional and job-related impacts on clinicians. These troubling results highlight the need for further studies to be conducted in the US.

Background: Studies have demonstrated patients hold different expectations for female physicians compared to male physicians, including higher expectations for patient-centered communication and addressing socioeconomic or emotional needs. Recent evidence indicates this gender disparity extends to the electronic health record (EHR). Similar studies have not been conducted with resident physicians.

Objective: This study seeks to characterize differences in EHR workload for female resident physicians compared to male resident physicians.

Design: This study evaluated 12 months of 156 Mayo Clinic internal medicine residents' inbasket data from July 2020 to June 2021 using Epic's Signal and Physician Efficiency Profile (PEP) data. Excel, BlueSky Statistics, and SAS analytical software were used for analysis. Paired t-tests and analysis of variance were used to compare PEP data by gender and postgraduate year (PGY). "Male" and "female" were used in substitute for "gender" as is precedent in the literature.

Subjects: Mayo Clinic internal medicine residents.

Main measures: Total time spent in EHR per day; time in inbasket and notes per day; time in notes per appointment; number of patient advice requests made through the portal; message turnaround time.

Key results: Female residents received more patient advice requests per year (p = 0.004) with an average of 86.7 compared to 68, resulting in 34% more patient advice requests per day worked (p < 0.001). Female residents spent more time in inbasket per day (p = 0.002), in notes per day (p < 0.001), and in notes per appointment (p = 0.001). Resident panel comparisons revealed equivocal sizes with significantly more female patients on female (n = 55) vs male (n = 34) resident panels (p < 0.001). There was no difference in message turnaround time, total messages, or number of results received.

Conclusions: Female resident physicians experience significantly more patient-initiated messages and EHR workload despite equivalent number of results and panel size. Gender differences in inbasket burden may disproportionally impact the resident educational experience.

Background: Diabetes self-management education and support can be effectively and efficiently delivered in primary care in the form of shared medical appointments (SMAs). Comparative effectiveness of SMA delivery features such as topic choice, multi-disciplinary care teams, and peer mentor involvement is not known.

Objective: To compare effects of standardized and patient-driven models of diabetes SMAs on patient-level diabetes outcomes.

Design: Pragmatic cluster randomized trial.

Participants: A total of 1060 adults with type 2 diabetes in 22 primary care practices.

Interventions: Practice personnel delivered the 6-session Targeted Training in Illness Management (TTIM) curriculum using either standardized (set content delivered by a health educator) or patient-driven SMAs (patient-selected topic order delivered by health educators, behavioral health providers [BHPs], and peer mentors).

Main measures: Outcomes included self-reported diabetes distress and diabetes self-care behaviors from baseline and follow-up surveys (assessed at 1st and final SMA session), and HbA1c, BMI, and blood pressure from electronic health records. Analyses used descriptive statistics, linear regression, and linear mixed models.

Key results: Both standardized and patient-driven SMAs effectively improved diabetes distress, self-care behaviors, BMI (- 0.29 on average), and HbA1c (- 0.45% (mmol/mol) on average, 8.3 to 7.8%). Controlling for covariates, there was a small, significant effect of condition on overall diabetes distress in favor of standardized SMAs (F(1,841) = 4.3, p = .04), attributable to significant effects of condition on emotion and regimen distress subscales. There was a small, significant effect of condition on diastolic blood pressure in favor of standardized SMAs (F(1,5199) = 4.50, p = .03). There were no other differences between conditions.

Conclusions: Both SMA models using the TTIM curriculum yielded significant improvement in diabetes distress, self-care, and HbA1c. Patient-driven diabetes SMAs involving BHPs and peer mentors and topic selection did not lead to better clinical or patient-reported outcomes than standardized diabetes SMAs facilitated by a health educator following a set topic order.

Nih trial registry number: NCT03590041.

Background: Low neighborhood socioeconomic status is associated with adverse health outcomes, but its association with health care costs in older adults is uncertain.

Objectives: To estimate the association of neighborhood Area Deprivation Index (ADI) with total, inpatient, outpatient, skilled nursing facility (SNF), and home health care (HHC) costs among older community-dwelling Medicare beneficiaries, and determine whether these associations are explained by multimorbidity, phenotypic frailty, or functional impairments.

Design: Four prospective cohort studies linked with each other and with Medicare claims.

Participants: In total, 8165 community-dwelling fee-for-service beneficiaries (mean age 79.2 years, 52.9% female).

Main measures: ADI of participant residence census tract, Hierarchical Conditions Category multimorbidity score, self-reported functional impairments (difficulty performing four activities of daily living), and frailty phenotype. Total, inpatient, outpatient, post-acute SNF, and HHC costs (US 2020 dollars) for 36 months after the index examination.

Key results: Mean incremental annualized total health care costs adjusted for age, race/ethnicity, and sex increased with ADI ($3317 [95% CI 1274 to 5360] for the most deprived vs least deprived ADI quintile, and overall p-value for ADI variable 0.009). The incremental cost for the most deprived vs least deprived ADI quintile was increasingly attenuated after separate adjustment for multimorbidity ($2407 [95% CI 416 to 4398], overall ADI p-value 0.066), frailty phenotype ($1962 [95% CI 11 to 3913], overall ADI p-value 0.22), or functional impairments ($1246 [95% CI -706 to 3198], overall ADI p-value 0.29).

Conclusions: Total health care costs are higher for older community-dwelling Medicare beneficiaries residing in the most socioeconomically deprived areas compared to the least deprived areas. This association was not significant after accounting for the higher prevalence of phenotypic frailty and functional impairments among residents of socioeconomically deprived neighborhoods.

Background: Champions of AI-facilitated clinical documentation have suggested that the emergent technology may decrease the administrative loads of physicians, thereby reducing cognitive burden and forestalling burnout. Explorations of physicians' experiences with automated documentation are critical in evaluating these claims.

Objective: To evaluate physicians' experiences with DAX Copilot (DAXC), a generative AI-facilitated clinical documentation tool.

Design: Semi-structured interviews were conducted in August and September of 2023 with physician-users of DAXC.

Participants: A purposive sample of 12 interviewees, selected from 116 primary care physicians, employed at a multi-site academic learning health system.

Approach: After completing all 12 interviews, three study personnel independently analyzed and coded the transcripts. Reconciliation sessions were then held to merge the three analyses into one summary, eliminating redundant codes, and grouping findings into themes.

Key results: For a majority of interviewees, DAXC reduced the amount of time spent documenting encounters, and alleviated anxieties of having to retain important clinical details until there was time to make notes. DAXC also allowed physicians to be more engaged during appointments, resulting in more personable provider-patient encounters. However, some physicians weighed these benefits against an uneasy feeling that interviewees might be asked to see more patients if DAXC was mandated. Physicians also noted that the tool would occasionally imagine or misgender patients, offer unsolicited and inappropriate diagnoses, and mistake critical details in transcription. The few physicians less enthusiastic about the generative technology portrayed themselves as creatures of habit who had cultivated long-standing workflows and particular notation practices that DAXC could neither improve upon nor reproduce.

Conclusions: According to physician interviewees, automated AI-driven clinical documentation has the potential to significantly reduce the administrative burden associated with particular types of provider-patient encounters. Addressing the growing pains of the incipient technology, identified here, may allow for a broader applicability for clinical practice.

Background: The opioid overdose epidemic disproportionately impacts people experiencing homelessness. Outpatient-based opioid treatment (OBOT) programs have been established in homeless health care settings across the USA, but little is known about the success of these programs in engaging and retaining this highly marginalized patient population in addiction care.

Objective: To evaluate predictors of initial engagement and subsequent attendance in a homeless-tailored OBOT program.

Design: Prospective cohort study with 4 months of follow-up.

Participants: A total of 148 homeless-experienced adults (≥18 years) who newly enrolled in the Boston Healthcare for the Homeless Program (BHCHP) OBOT program over a 1-year period (1/6/2022-1/5/2023).

Main measures: The primary outcomes were (1) initial OBOT program engagement, defined as having ≥2 additional OBOT visits within 1 month of OBOT enrollment, and (2) subsequent OBOT program attendance, measured monthly from months 2 to 4 of follow-up.

Key results: The average age was 41.7 years (SD 10.2); 23.6% were female, 35.8% were Hispanic, 12.8% were non-Hispanic Black, and 43.9% were non-Hispanic White. Over one-half (57.4%) were initially engaged. OBOT program attendances during months 2, 3, and 4 were 60.8%, 50.0%, and 41.2%, respectively. One-quarter (24.3%) were initially engaged and then attended the OBOT program every month during the follow-up period. Participants in housing or residential treatment programs (vs. unhoused; adjusted odds ratios (aORs) = 2.52; 95% CI = 1.17-5.44) and those who were already on or initiated a medication for opioid use disorder (OUD) (aOR = 6.53; 95% CI = 1.62-26.25) at the time of OBOT enrollment had higher odds of engagement. Older age (aOR = 1.74 per 10-year increment; 95% CI = 1.28-2.38) and initial engagement (aOR = 3.50; 95% CI = 1.86-6.59) conferred higher odds of attendance.

Conclusions: In this study, over half initially engaged with the OBOT program, with initial engagement emerging as a strong predictor of subsequent OBOT program attendance. Interventions aimed at enhancing initial OBOT program engagement, including those focused on housing and buprenorphine initiation, may improve longer-term outcomes in this marginalized population.

Background: Latine people, comprising 18.5% of the US population, constitute the largest ethnic minority group, with nearly one-third self-identifying as having non-English language preference (NELP). Despite the importance of the telephone in health care access, there is limited understanding of how NELP patients navigate telephone calls with primary and specialty care clinics.

Objective: This qualitative study aims to capture how Spanish speakers with NELP characterize their telephone call experiences with primary and specialty care clinics.

Design: Semi-structured interviews were conducted with 24 Spanish-speaking participants from primary care clinics with a sizeable proportion of patients who prefer to communicate in a language other than English at an urban academic medical center in Boston, MA.

Participants: Participants were selected from primary care clinics that were well-equipped to serve Spanish-speaking patients. A total of 24 Spanish-speaking patients with NELP, mainly women (83%), with a mean age of 55.8 years, participated. They represented diverse countries of origin, with an average length of time in the USA of 21.7 years.

Approach: Interview questions prompted participants to describe their telephone call experiences with front desk staff, with attention to interpreter availability, ancillary assistance, health outcomes stemming from a lack of language services, and emotional consequences of language discordance on calls.

Key results: Patients perceived primary care clinics as providing familiarity and language concordance during telephone interactions, contrasting with specialty care clinics, seen as sources of monolingual English communication. Participants utilized various strategies, such as requesting interpreters, using concise English phrases, or seeking assistance from acquaintances, relatives, or primary care clinic staff, to mitigate language barriers.

Conclusions: The findings underscore significant challenges faced by Spanish-speaking patients with NELP in ambulatory specialty care telephone calls. The study emphasizes the importance of creating inclusive multilingual telephone environments, standardizing interpreter access, and reflecting the diversity of the communities served.