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Nevin Manimala Statistics

Family Medicine Clinician Screening and Barriers to Communication on Food Insecurity: A CERA General Membership Survey

J Am Board Fam Med. 2024 Mar-Apr;37(2):196-205. doi: 10.3122/jabfm.2023.230319R1.

ABSTRACT

PURPOSE: Food insecurity (FI) is a hidden epidemic associated with worsening health outcomes affecting 33.8 million people in the US in 2021. Although studies demonstrate the importance of health care clinician assessment of a patient’s food insecurity, little is known about whether Family Medicine clinicians (FMC) discuss FI with patients and what barriers influence their ability to communicate about FI. This study evaluated FM clinicians’ food insecurity screening practices to evaluate screening disparities and identify barriers that influence the decision to communicate about FI.

METHODS: Data were gathered and analyzed as part of the 2022 Council of Academic Family Medicine’s Educational Research Alliance survey of Family Medicine general membership.

RESULTS: The majority of respondents reported (66.9%) that their practice has a screening system for food insecurity, and most practices used a verbal screen with staff other than the clinician (41%) at specific visits (63.8%). Clinicians reported “rarely or never asking about FI” 40% of the time and only asking “always or frequently” 6.7% of the time. Inadequate time during appointments (44.5%) and other medical issues taking priority (29.4%) were identified as the most common barriers. The lack of resources available in the community was a significant barrier for clinicians who worked in rural areas.

CONCLUSIONS: This survey provides insight into food insecurity screening disparities and identifies obstacles to FMC screening, such as time constraints, lack of resources, and knowledge of available resources. Understanding current communication practices could create opportunities for interventions to identify food insecurity and impact “Food as Medicine.”

PMID:38740486 | DOI:10.3122/jabfm.2023.230319R1

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Nevin Manimala Statistics

Data Disaggregation of Asian-American Family Physicians

J Am Board Fam Med. 2024 Mar-Apr;37(2):349-350. doi: 10.3122/jabfm.2023.230326R1.

ABSTRACT

The singular label of “Asian” obscures socioeconomic differences between Asian ethnic groups that affect matriculation into the field of medicine. Using data from American Board of Family Medicine Examination candidates in 2023, we found that compared to the US population, among Asian-American family physicians, Indians were present at higher rates, while Chinese and Filipinos were underrepresented, suggesting the importance of continued disaggregation of Asian ethnicities in medicine.

PMID:38740485 | DOI:10.3122/jabfm.2023.230326R1

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Nevin Manimala Statistics

The Gender Wage Gap Among Early-Career Family Physicians

J Am Board Fam Med. 2024 Mar-Apr;37(2):270-278. doi: 10.3122/jabfm.2023.230218R1.

ABSTRACT

PURPOSE: Numerous studies have documented salary differences between male and female physicians. For many specialties, this wage gap has been explored by controlling for measurable factors that influence pay such as productivity, work-life balance, and practice patterns. In family medicine where practice activities differ widely between physicians, it is important to understand what measurable factors may be contributing to the gender wage gap, so that employers and policymakers and can address unjust disparities.

METHODS: We used data from the 2017 to 2020 American Board of Family Medicine (ABFM) National Graduate Survey (NGS) which is administered to family physicians 3 years after residency (n = 8608; response rate = 63.9%, 56.2% female). The survey collects clinical income and practice patterns. Multiple linear regression analysis was performed, which included variables on hours worked, degree type, principal professional activity, rural/urban, and region.

RESULTS: Although early-career family physician incomes averaged $225,278, female respondents reported incomes that were $43,566 (17%) lower than those of male respondents (P = .001). Generally, female respondents tended toward lower-earning principal professional activities and US regions; worked fewer hours (2.9 per week); and tended to work more frequently in urban settings. However, in adjusted models, this gap in income only fell to $31,804 (13% lower than male respondents, P = .001).

CONCLUSION: Even after controlling for measurable factors such as hours worked, degree type, principal professional activity, population density, and region, a significant wage gap persists. Interventions should be taken to eliminate gender bias in wage determinations for family physicians.

PMID:38740481 | DOI:10.3122/jabfm.2023.230218R1

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Nevin Manimala Statistics

Pakikisama: Filipino Patient Perspectives on Health Care Access and Utilization

J Am Board Fam Med. 2024 Mar-Apr;37(2):242-250. doi: 10.3122/jabfm.2023.230165R2.

ABSTRACT

PURPOSE: Filipinos have unique social determinants of health, cultural values, and beliefs that contribute to a higher prevalence of cardiovascular comorbidities such as hypertension, diabetes, and dyslipidemia. We aimed to identify Filipino values, practices, and belief systems that influenced health care access and utilization.

METHODS: We conducted 1-on-1 semistructured interviews with self-identified Filipino patients. Our qualitative study utilized a constant-comparative approach for data collection, thematic coding, and interpretive analysis.

RESULTS: We interviewed 20 Filipinos in a remote rural community to assess structural and social challenges experienced when interacting with the health care system. Our results suggest that Filipinos regard culture and language as pillars of health access. Filipinos trust clinicians who exhibited positive tone and body language as well as relatable and understandable communication. These traits are features of Pakikisama, a Filipino trait/value of “comfortableness and getting along with others.” Relatability and intercultural values familiarity increased Filipino trust in a health care clinician. Filipinos may lack understanding about how to navigate the US Health care system, which can dissuade access to care.

CONCLUSIONS: For the Filipino community, culture and language are fundamental components of health access. Health care systems have the opportunity to both improve intercultural clinical training and increase representation among clinicians and support staff to improve care delivery and navigation of health services. Participants reported not routinely relying on health care navigators.

PMID:38740480 | DOI:10.3122/jabfm.2023.230165R2

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Nevin Manimala Statistics

Clinician Barriers to Ordering Pulmonary Function Tests for Adults with Suspected Asthma

J Am Board Fam Med. 2024 Mar-Apr;37(2):321-323. doi: 10.3122/jabfm.2023.230347R1.

ABSTRACT

BACKGROUND: Primary care clinicians do not adhere to national and international guidelines recommending pulmonary function testing (PFTs) in patients with suspected asthma. Little is known about why that occurs. Our objective was to assess clinician focused barriers to ordering PFTs.

METHODS: An internet-based 11-item survey of primary care clinicians at a large safety-net institution was conducted between August 2021 and November 2021. This survey assessed barriers and possible electronic health record (EHR) solutions to ordering PFTs. One of the survey questions contained an open-ended question about barriers which was analyzed qualitatively.

RESULTS: The survey response rate was 59% (117/200). The top 3 reported barriers included beliefs that testing will not change management, distance to testing site, and the physical effort it takes to complete testing. Clinicians were in favor of an EHR intervention to prompt them to order PFTs. Responses to the open-ended question also conveyed that objective testing does not change management.

DISCUSSION: PFTs improve diagnostic accuracy and reduce inappropriate therapies. Of the barriers we identified, the most modifiable is to educate clinicians about how PFTs can change management. That in conjunction with an EHR prompt, which clinicians approved of, may lead to guideline congruent and improved quality in asthma care.

PMID:38740479 | DOI:10.3122/jabfm.2023.230347R1

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Nevin Manimala Statistics

Differences in Receipt of Time Alone with Healthcare Providers Among US Youth Ages 12-17

J Am Board Fam Med. 2024 Mar-Apr;37(2):309-315. doi: 10.3122/jabfm.2023.230222R1.

ABSTRACT

BACKGROUND: Time to meet privately with a health care provider can support optimal adolescent health, but numerous barriers exist to implementing this practice routinely.

METHODS: We examined parent reports on their children aged 12 to 17 from a nationally generalizable sample to quantify the presence of time alone with health care providers at the state and national level, as well as socio-contextual correlates using logistic regression analysis.

RESULTS: We estimated that only 1 in 2 adolescents had a confidential discussion at their last medical visit. Certain child, family, and health care factors were associated with lower likelihood for having had confidential discussions. Specifically, adolescents who were Asian; did not have mental, emotional, or behavioral problems; were uninsured; or lived in households with parents who were immigrants, less educated, or did not speak English had significantly lower odds for having had time alone compared with referent groups.

DISCUSSION: Clinical and structural efforts to rectify these gaps may assist a broader share of youth in benefiting from private health care discussions with providers.

PMID:38740477 | DOI:10.3122/jabfm.2023.230222R1

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Nevin Manimala Statistics

The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan

J Am Board Fam Med. 2024 Mar-Apr;37(2):251-260. doi: 10.3122/jabfm.2023.230221R1.

ABSTRACT

INTRODUCTION: Multimorbidity rates are both increasing in prevalence across age ranges, and also increasing in diagnostic importance within and outside the family medicine clinic. Here we aim to describe the course of multimorbidity across the lifespan.

METHODS: This was a retrospective cohort study across 211,953 patients from a large northeastern health care system. Past medical histories were collected in the form of ICD-10 diagnostic codes. Rates of multimorbidity were calculated from comorbid diagnoses defined from the ICD10 codes identified in the past medical histories.

RESULTS: We identify 4 main age groups of diagnosis and multimorbidity. Ages 0 to 10 contain diagnoses which are infectious or respiratory, whereas ages 10 to 40 are related to mental health. From ages 40 to 70 there is an emergence of alcohol use disorders and cardiometabolic disorders. And ages 70 to 90 are predominantly long-term sequelae of the most common cardiometabolic disorders. The mortality of the whole population over the study period was 5.7%, whereas the multimorbidity with the highest mortality across the study period was Circulatory Disorders-Circulatory Disorders at 23.1%.

CONCLUSION: The results from this study provide a comparison for the presence of multimorbidity within age cohorts longitudinally across the population. These patterns of comorbidity can assist in the allocation to practice resources that will best support the common conditions that patients need assistance with, especially as the patients transition between pediatric, adult, and geriatric care. Future work examining and comparing multimorbidity indices is warranted.

PMID:38740476 | DOI:10.3122/jabfm.2023.230221R1

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Nevin Manimala Statistics

Machine Learning to Identify Clusters in Family Medicine Diplomate Motivations and Their Relationship to Continuing Certification Exam Outcomes: Findings and Potential Future Implications

J Am Board Fam Med. 2024 Mar-Apr;37(2):279-289. doi: 10.3122/jabfm.2023.230369R1.

ABSTRACT

BACKGROUND: The potential for machine learning (ML) to enhance the efficiency of medical specialty boards has not been explored. We applied unsupervised ML to identify archetypes among American Board of Family Medicine (ABFM) Diplomates regarding their practice characteristics and motivations for participating in continuing certification, then examined associations between motivation patterns and key recertification outcomes.

METHODS: Diplomates responding to the 2017 to 2021 ABFM Family Medicine continuing certification examination surveys selected motivations for choosing to continue certification. We used Chi-squared tests to examine difference proportions of Diplomates failing their first recertification examination attempt who endorsed different motivations for maintaining certification. Unsupervised ML techniques were applied to generate clusters of physicians with similar practice characteristics and motivations for recertifying. Controlling for physician demographic variables, we used logistic regression to examine the effect of motivation clusters on recertification examination success and validated the ML clusters by comparison with a previously created classification schema developed by experts.

RESULTS: ML clusters largely recapitulated the intrinsic/extrinsic framework devised by experts previously. However, the identified clusters achieved a more equal partitioning of Diplomates into homogenous groups. In both ML and human clusters, physicians with mainly extrinsic or mixed motivations had lower rates of examination failure than those who were intrinsically motivated.

DISCUSSION: This study demonstrates the feasibility of using ML to supplement and enhance human interpretation of board certification data. We discuss implications of this demonstration study for the interaction between specialty boards and physician Diplomates.

PMID:38740475 | DOI:10.3122/jabfm.2023.230369R1

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Nevin Manimala Statistics

Data Disaggregation of Asian Americans: Implications for the Physician Workforce

J Am Board Fam Med. 2024 Mar-Apr;37(2):346-348. doi: 10.3122/jabfm.2023.240102R0.

NO ABSTRACT

PMID:38740473 | DOI:10.3122/jabfm.2023.240102R0

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Nevin Manimala Statistics

Quality Improvement Intervention Using Social Prescribing at Discharge in a University Hospital in France: Quasi-Experimental Study

JMIR Form Res. 2024 May 13;8:e51728. doi: 10.2196/51728.

ABSTRACT

BACKGROUND: Social prescription is seen as a public health intervention tool with the potential to mitigate social determinants of health. On one side, social prescription is not yet well developed in France, where social workers usually attend to social needs, and historically, there is a deep divide between the health and social sectors. On the other side, discharge coordination is gaining attention in France as a critical tool to improve the quality of care, assessed indirectly using unplanned rehospitalization rates.

OBJECTIVE: This study aims to combine social prescription and discharge coordination to assess the need for social prescription and its effect on unplanned rehospitalization rates.

METHODS: We conducted a quasi-experimental study in two departments of medicine in a French university hospital in a disadvantaged suburb of Paris over 2 years (October 2019-October 2021). A discharge coordinator screened patients for social prescribing needs and provided services on the spot or referred the patient to the appropriate service when needed. The primary outcome was the description of the services delivered by the discharge coordinator and of its process, as well as the characteristics of the patients in terms of social needs. The secondary outcome was the comparison of unplanned rehospitalization rates after data chaining.

RESULTS: A total of 223 patients were included in the intervention arm, with recruitment being disrupted by the COVID-19 pandemic. More than two-thirds of patients (n=154, 69.1%) needed help understanding discharge information. Slightly less than half of the patients (n=98, 43.9%) seen by the discharge coordinator needed social prescribing, encompassing language, housing, health literacy, and financial issues. The social prescribing covered a large range of services, categorized into finding a general practitioner or private sector nurse, including language-matching; referral to a social worker; referral to nongovernmental organization or group activities; support for transportation issues; support for health-related administrative procedures; and support for additional appointments with nonmedical clinicians. All supports were delivered in a highly personalized way. Ethnic data collection was not legally permitted, but for 81% (n=182) of the patients, French was not the mother tongue. After data chaining, rehospitalization rates were compared between 203 patients who received the intervention (n=5, 3.1%) versus 2095 patients who did not (n=51, 2.6%), and there was no statistical difference.

CONCLUSIONS: First, our study revealed the breadth of patient’s unmet social needs in our university hospital, which caters to an area where the immigrant population is high. The study also revealed the complexity of the discharge coordinator’s work, who provided highly personalized support and managed to gain trust. Hospital discharge could be used in France as an opportunity in disadvantaged settings. Eventually, indicators other than the rehospitalization rate should be devised to evaluate the effect of social prescribing and discharge coordination.

PMID:38739912 | DOI:10.2196/51728