Category: Statistics

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

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

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

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

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

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

J Am Board Fam Med. 2024 May-Jun;37(3):504-505. doi: 10.3122/jabfm.2023.230421R1.

ABSTRACT

Underinvestment in primary care and erosion of the primary care physician workforce are resulting in patients across the US experiencing growing difficulty in obtaining access to primary care. Compounding this access problem, we find that the average patient panel size among US family physicians may have decreased by 25% over the past decade (2013 to 2022). Reversing the decline in access to primary care in the face of decreasing panel sizes requires both better supporting family physicians to manage larger panels, such as by expanding primary care teams, and substantially increasing the supply of family physicians.

PMID:39142856 | DOI:10.3122/jabfm.2023.230421R1

Rozhl Chir. 2024;103(7):263-268. doi: 10.48095/ccrvch2024263.

ABSTRACT

INTRODUCTION: For many years, the gold standard in the localization of non-palpable malignant breast tumors has been the use of wire-guided method. However, this has recently been replaced by more modern localization techniques in many institutions.

METHODS: This is a retrospective case-control study comparing two localization techniques (iodine seed 125I and wire-guided localization) for localizing non-palpable tumors in patients with histologically verified breast carcinoma.

RESULTS: The study included 62 patients – 31 with localization of malignant breast tumor by iodine seed (subgroup 125I) and 31 by wire-guided localization (subgroup FV). The average volume of the resected tissue in subgroup 125I (46.2 cm3) was statistically significantly smaller compared to subgroup FV (83.7 cm3; P = 0.0063). R0 resection was achieved in 29 cases (93.5%) in subgroup 125I and in 24 cases (77.4%) in subgroup FV (P = 0.0714). In subgroup 125I, re-resection was not indicated in any case, while in subgroup FV, re-resection due to tumor reaching the margin was indicated in 6 cases (19.4%; P = 0.01).

CONCLUSION: Our initial experience show that the use of iodine seeds for localizing non-palpable breast tumors is associated with the removal of a smaller volume of resected tissue compared to wire-guided localization, with a trend towards more frequent achievement of R0 resection. In the subgroup of patients localized with iodine seeds, there was a smaller proportion of re-resections due to inadequate safety margins.

PMID:39142852 | DOI:10.48095/ccrvch2024263

Genomics Proteomics Bioinformatics. 2024 Jul 3;22(2):qzae031. doi: 10.1093/gpbjnl/qzae031.

ABSTRACT

Genetic susceptibility to metabolic associated fatty liver disease (MAFLD) is complex and poorly characterized. Accurate characterization of the genetic background of hepatic fat content would provide insights into disease etiology and causality of risk factors. We performed genome-wide association study (GWAS) on two noninvasive definitions of hepatic fat content: magnetic resonance imaging proton density fat fraction (MRI-PDFF) in 16,050 participants and fatty liver index (FLI) in 388,701 participants from the United Kingdom (UK) Biobank (UKBB). Heritability, genetic overlap, and similarity between hepatic fat content phenotypes were analyzed, and replicated in 10,398 participants from the University Medical Center Groningen (UMCG) Genetics Lifelines Initiative (UGLI). Meta-analysis of GWASs of MRI-PDFF in UKBB revealed five statistically significant loci, including two novel genomic loci harboring CREB3L1 (rs72910057-T, P = 5.40E-09) and GCM1 (rs1491489378-T, P = 3.16E-09), respectively, as well as three previously reported loci: PNPLA3, TM6SF2, and APOE. GWAS of FLI in UKBB identified 196 genome-wide significant loci, of which 49 were replicated in UGLI, with top signals in ZPR1 (P = 3.35E-13) and FTO (P = 2.11E-09). Statistically significant genetic correlation (rg) between MRI-PDFF (UKBB) and FLI (UGLI) GWAS results was found (rg = 0.5276, P = 1.45E-03). Novel MRI-PDFF genetic signals (CREB3L1 and GCM1) were replicated in the FLI GWAS. We identified two novel genes for MRI-PDFF and 49 replicable loci for FLI. Despite a difference in hepatic fat content assessment between MRI-PDFF and FLI, a substantial similar genetic architecture was found. FLI is identified as an easy and reliable approach to study hepatic fat content at the population level.

PMID:39142818 | DOI:10.1093/gpbjnl/qzae031

BMJ. 2024 Aug 14;386:q1797. doi: 10.1136/bmj.q1797.

NO ABSTRACT

PMID:39142808 | DOI:10.1136/bmj.q1797