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Nevin Manimala Statistics

Epidemiological characteristics of human respiratory syncytial virus in influenza-like illness in Shenzhen City from 2019 to 2023

Zhonghua Yu Fang Yi Xue Za Zhi. 2024 Aug 6;58(8):1117-1123. doi: 10.3760/cma.j.cn112150-20240318-00223.

ABSTRACT

Objective: To understand the epidemiological characteristics of human respiratory syncytial virus (HRSV) among cases presenting with influenza-like illness (ILI) in Shenzhen City from 2019 to 2023. Methods: Respiratory specimens were collected from two national sentinel hospitals in Shenzhen from March 2019 to December 2023, specifically targeting cases of ILI. The real-time PCR method was used for the detection and genotyping of HRSV. Basic demographic information was collected and used for the epidemiological analysis. Results: A total of 9 278 respiratory specimens of influenza-like cases were collected and detected, with a total positive rate of 4.77% (443/9 278) for HRSV. In 2021 (8.48%, 167/1 970), the positive rate of HRSV was significantly higher than in 2019 (3.35%, 52/1 552), 2022 (1.80%, 39/2 169), and 2023 (4.49%, 133/2 960), and the difference was statistically significant (χ2=102.395, P<0.001). The prevalence of HRSV was mainly in summer and early autumn (September), and there was an abnormal increase in the positive rate of HRSV in winter 2022. The highest positive rate of HRSV was in children under five years old (9.84%, 330/335). The typing results showed that in 2022, the prevalence of HRSV-A was predominant (71.79%, 28/39), and in 2023, HRSV-A and HRSV-B subtypes coexisted. Conclusions: The prevalence of HRSV in Shenzhen from 2019 to 2023 has obvious seasonality, mainly in summer and early autumn. Children under five years old are the main population of HRSV infections.

PMID:39142877 | DOI:10.3760/cma.j.cn112150-20240318-00223

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Nevin Manimala Statistics

Why Are Family Physicians’ Panels Shrinking?

J Am Board Fam Med. 2024 May-Jun;37(3):502-503. doi: 10.3122/jabfm.2024.240101R0.

ABSTRACT

The average panel for family physicians dropped from about 2400 to about 1800 patients from 2013 to 2022. Likely reasons for this decline: 1) fewer people seeking primary care, and 2) fewer people receiving their care through a long-term continuity relationship with a primary care clinician.

PMID:39142874 | DOI:10.3122/jabfm.2024.240101R0

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Nevin Manimala Statistics

Why Opportunities for Tenure Matter for Minoritized Faculty in Academic Medicine

J Am Board Fam Med. 2024 May-Jun;37(3):497-501. doi: 10.3122/jabfm.2023.230207R1.

ABSTRACT

Academic medicine continues to characterize the experiences of Black and other minoritized faculty in medicine to enhance their careers and promote their advancement. An issue of discussion is tenure and its role in the advancement and retention of this group. Tenure is a sign of national presence, command of an area of study, and can demonstrate support from the institution in terms of permanent employment, eligibility to apply for awards, sit or vote on certain committees or qualify for certain leadership opportunities. Anecdotally there have been reports that tenure is a thing of the past that has lost relevance prompting some to end tenure in their institutions. Reasons for this are complex, however the literature does not include minoritized faculty as a reason for the need to revise or eliminate tenure and tenure earning tracks. The authors discuss 3 reasons why Black and other minoritized faculty should be afforded the opportunity to achieve permanent status in their academic health centers. They include histories of being denied freedom, having information concealed or being giving false information, and being denied permanent academic employment status.

PMID:39142872 | DOI:10.3122/jabfm.2023.230207R1

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Nevin Manimala Statistics

Telemedicine Adoption During COVID-19 Pandemic: Perspectives from Primary Care Clinicians in Safety-Net Settings

J Am Board Fam Med. 2024 May-Jun;37(3):409-417. doi: 10.3122/jabfm.2023.230339R1.

ABSTRACT

OBJECTIVE: The objective of this study is to describe the facilitators and barriers of telemedicine during the COVID-19 pandemic for primary care clinicians in safety-net settings.

METHODS: We selected 5 surveys fielded between September 2020 and March 2023 from the national “Quick COVID-19 Primary Care Survey” by the Larry A. Green Center, with the Primary Care Collaborative. We used an explanatory sequential mixed method approach. We compared safety-net practices (free & charitable organization, federally qualified health center (FQHC), clinics with a 50% or greater Medicaid) to all other settings. We discuss: 1) telemedicine services provided; 2) clinician motivations; 3) and telemedicine access.

RESULTS: All clinicians were similarly motivated to implement telemedicine. Safety-net clinicians were more likely to report use of phone visits. These clinicians felt less “confident in my use of telemedicine” (covariate-adjusted OR = 0.611, 95% CI 0.43 – 0.87) and were more likely to report struggles with televisits in March 2023 (covariate-adjusted OR = 1.73, 95% CI 1.16 – 2.57), particularly with physical examinations. Safety-net clinicians were more likely to endorse reductions in no-shows (covariate-adjusted OR = 1.77, 95% CI 1.17 – 2.68). Telemedicine increased access and new patient-facing demands including portal communications.

CONCLUSIONS: This study enhances our understanding of the use of telemedicine within the safety-net setting. Clinician perceptions are important for identifying barriers to telemedicine following the end of the Federal COVID-19 Public Health Emergency. Clinicians highlighted significant limitations to its use including clinical appropriateness, quality of physical examinations, and added patient-facing workload.

PMID:39142866 | DOI:10.3122/jabfm.2023.230339R1

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Nevin Manimala Statistics

Addressing the Marketing Practices of Medicare Advantage Plans

J Am Board Fam Med. 2024 May-Jun;37(3):494-496. doi: 10.3122/jabfm.2023.230384R1.

ABSTRACT

The Medicare Advantage (MA) Program, home to nearly half of the eligible Medicare population, has recently come under increased scrutiny. Recent investigations conducted by the United States Senate Committee on Finance and Centers for Medicare & Medicaid Services (CMS) have uncovered marketing practices of MA insurance agents that “were not complying with current regulation and unduly pressuring beneficiaries, as well as failing to provide accurate or enough information to assist a beneficiary in making an informed enrollment decision.” These findings come at a time in which MA programs are under investigation for denials of prior authorization requests that fall within Medicare guidelines for covered health services. In this Commentary we consider the backdrop for the growing scrutiny of the MA program and the implications thereof to its future trajectory.

PMID:39142865 | DOI:10.3122/jabfm.2023.230384R1

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Nevin Manimala Statistics

How An Academic Direct Primary Care Clinic Served Patients from Vulnerable Communities

J Am Board Fam Med. 2024 May-Jun;37(3):455-465. doi: 10.3122/jabfm.2023.230346R1.

ABSTRACT

PURPOSE: Direct primary care (DPC) critics are concerned that the periodic fee precludes participation from vulnerable populations. The purpose is to describe the demographics and appointments of a, now closed, academic DPC clinic and determine whether there are differences in vulnerability between census tracts with and without any clinic patients.

METHODS: We linked geocoded data from the DPC’s electronic health record with the social vulnerability index (SVI). To characterize users, we described their age, sex, language, membership, diagnoses, and appointments. Descriptive statistics included frequencies, proportions or medians, and interquartile ranges. To determine differences in SVI, we calculated a localized SVI percentile within Harris County. A t test assuming equal variances and Mann-Whitney U Tests were used to assess differences in SVI and all other census variables, respectively, between those tracts with and without any clinic patients.

RESULTS: We included 322 patients and 772 appointments. Patients were seen an average of 2.4 times and were predominantly female (58.4%). More than a third (37.3%) spoke Spanish. There was a mean of 3.68 ICD-10 codes per patient. Census tracts in which DPC patients lived had significantly higher SVI scores (ie, more vulnerable) than tracts where no DPC clinic patients resided (median, 0.60 vs 0.47, p-value < 0.05).

CONCLUSION: This academic DPC clinic cared for individuals living in vulnerable census tracts relative to those tracts without any clinic patients. The clinic, unfortunately, closed due to multiple obstacles. Nevertheless, this finding counters the perception that DPC clinics primarily draw from affluent neighborhoods.

PMID:39142864 | DOI:10.3122/jabfm.2023.230346R1

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Factors Associated with Patient Engagement in a Health and Social Needs Case Management Program

J Am Board Fam Med. 2024 May-Jun;37(3):418-426. doi: 10.3122/jabfm.2023.230388R1.

ABSTRACT

INTRODUCTION: Many patients offered case management services to address their health and social needs choose not to engage. Factors that drive engagement remain unclear. We sought to understand patient characteristics associated with engagement in a social needs case management program and variability by case manager.

METHODS: Between August 2017 and February 2021, 43,347 Medicaid beneficiaries with an elevated risk of hospital or emergency department use were offered case management in Contra Costa County, California. Results were analyzed in 2022 using descriptive statistics and multilevel logistic regression models to examine 1) associations between patient engagement and patient characteristics and 2) variation in engagement attributable to case managers. Engagement was defined as responding to case manager outreach and documentation of at least 1 topic to mutually address. A sensitivity analysis was performed by stratifying the pre-COVID-19 and COVID-19 cohorts.

RESULTS: A total of 16,811 (39%) of eligible patients engaged. Adjusted analyses indicate associations between higher patient engagement and female gender, age 40 and over, Black/African American race, Hispanic/Latino ethnicity, history of homelessness, and a medical history of certain chronic conditions and depressive disorder. The intraclass correlation coefficient indicates that 6% of the variation in engagement was explained at the case manager level.

CONCLUSIONS: Medicaid patients with a history of housing instability and specific medical conditions were more likely to enroll in case management services, consistent with prior evidence that patients with greater need are more receptive to assistance. Case managers accounted for a small percentage of variation in patient engagement.

PMID:39142863 | DOI:10.3122/jabfm.2023.230388R1

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Nevin Manimala Statistics

Outbreak of Hand, Foot, and Mouth Disease Among University Residential Students

J Am Board Fam Med. 2024 May-Jun;37(3):513. doi: 10.3122/jabfm.2023.230447R0.

NO ABSTRACT

PMID:39142862 | DOI:10.3122/jabfm.2023.230447R0

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Relationship Between Primary Care Physician Capacity and Usual Source of Care

J Am Board Fam Med. 2024 May-Jun;37(3):436-443. doi: 10.3122/jabfm.2023.230400R1.

ABSTRACT

BACKGROUND: The NASEM Primary Care Report and Primary Care scorecard highlighted the importance of primary care physician (PCP) capacity and having a usual source of care (USC). However, research has found that PCP capacity and USC do not always correlate. This exploratory study compares geographic patterns and the characteristics of counties with similar rates of PCP capacity but varying rates of USC.

METHODS: Our county-level, cross-sectional approach includes estimates from the Robert Graham Center and data from the Robert Wood Johnson County Health Rankings (CHR). We utilized conditional mapping methods to first identify US counties with the highest rates of social deprivation (SDI). Next, counties were stratified based on primary care physician (PCP) capacity and usual source of care (USC) terciles, allowing us to identify 4 types of counties: (1) High-Low (high PCP capacity, low USC); (2) High-High (high PCP capacity, high USC); (3) Low-High (low PCP capacity, high USC); and (4) Low-Low (low PCP capacity, low USC). We use t test to explore differences in the characteristics of counties with similar rates of primary care capacity.

RESULTS: The results show clear geographic patterns: High-High counties are located primarily in the northern and northeastern US; High-Low counties are located primarily in the southwestern and southern US. Low-High counties are concentrated in the Appalachian and Great Lakes regions; Low-Low counties are concentrated in the southeastern US and Texas. Descriptive results reveal that rates of racial and ethnic minorities, the uninsured, and social deprivation are highest in counties with low rates of USC for both high PCP and low PCP areas.

CONCLUSIONS: Recognizing PCP shortages and improving rates of USC are key strategies for increasing access to high-quality, primary care. Targeting strategies by geographic region will allow for tailored models to improve access to and continuity of primary care. For example, we found that many of the counties with the lowest rates of USC are found in non-Medicaid expansion states (Texas, Georgia, and Florida) with high rates of uninsured populations, suggesting that expanding Medicaid and improving access to health insurance are key strategies for increasing USC in these states.

PMID:39142860 | DOI:10.3122/jabfm.2023.230400R1

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Nevin Manimala Statistics

Re: Early-Career Compensation Trends Among Family Physicians

J Am Board Fam Med. 2024 May-Jun;37(3):514. doi: 10.3122/jabfm.2024.230402R0.

NO ABSTRACT

PMID:39142858 | DOI:10.3122/jabfm.2024.230402R0