Physician network connections to specialists and HIV quality of care

Stigmatizing clinical setting erodes physician-patient interaction quality for sexual minority men through perceived HIV stigma and HIV infection concerns in Zambia

This study investigated whether perceived HIV stigma and HIV infection concerns among healthcare providers (HCPs) mediate the association between stigmatizing clinical setting and their interaction quality with sexual minority men (SMM) patients in Zambia. In 2021, a cross-sectional survey was conducted with 91 HCPs offering HIV-related services to SMM in Zambia. Path analysis was conducted to examine the potential mediation effect of "perceived HIV stigma" and "HIV infection concern" among HCPs in the association between "stigmatizing clinical setting" and their "interaction quality with SMM". Mediators i.e., "perceived HIV stigma" and "HIV infection concern" among HCPs, were associated positively with the stigmatizing clinical setting (β = 0.329, p < .01, β = 0.917, p < 0.01), and negatively with physician-patient interaction quality (β = -0.167, p = 0.051; β = -0.126, p < 0.05). Stigmatizing clinical setting had a significant and negative indirect effect on HCPs interaction quality with SMM through increased perceived HIV stigma (z = -1.966, p < 0.05) and increased HIV infection concern (z = -1.958, p = 0.050). To improve physician-patient interaction quality, stigma reduction interventions among HCPs, who serve SMM in Zambia, should target development of development of inclusive policies and the cultivation of cultural norms that are supportive and respectful to SMM, and protection of HCPs from enacted stigma due to offering care to SMM.

Physician patient sharing relationships within insurance plan networks

OBJECTIVE

To quantify shared patient relationships between primary care physicians (PCPs) and cardiologists and oncologists and the degree to which those relationships were captured within insurance networks.

DATA SOURCES

Secondary analysis of Vericred data on physician networks, CareSet data on physicians' shared Medicare patients, and insurance plan attributes from Health Insurance Compare. Data validation exercises used data from Physician Compare and IQVIA.

STUDY DESIGN

Cross-sectional study of the PCP-to-specialist in-network shared patient percentage (primary outcome). We also categorized networks by insurance market segment (Medicare Advantage [MA], Medicaid managed care, small-group or individually purchased), insurance plan type, and network breadth.

DATA EXTRACTION

We analyzed data on 219,982 PCPs, 29,400 cardiologists, and 22,745 oncologists who, in 2021, accepted MA (n = 941 networks), Medicaid managed care (n = 293), and individually-purchased (n = 332) and small-group (n = 501) plans.

PRINCIPAL FINDINGS

Networks captured, on average, 64.6% of PCP-cardiology shared patient ties, and 61.8% of PCP-oncologist ties. Less than half of in-network ties (44.5% and 38.9%, respectively) were among physicians with a common organizational affiliation. After adjustment for network breadth, we found no evidence of differences in the shared patient percentage across insurance market segments or networks of different types (p-value >0.05 for all comparisons). An exception was among national versus local and regional networks, where we found that national plans captured fewer shared patient ties, particularly among the narrowest networks (58.4% for national networksvs. 64.7% for local and regional networks for PCP-cardiology).

CONCLUSIONS

Given recent trends toward narrower networks, our findings underscore the importance of incorporating additional and nuanced measures of network composition to aid plan selection (for patients) and to guide regulatory oversight.

Universal Health Coverage for Antiretroviral Treatment: A Review

Universal health coverage is essential for the progress to end threats of the acquired immunodeficiency syndrome epidemic. The current review assesses the publication rate, strategies and barriers for antiretroviral therapy (ART) coverage, equity, quality of care, and financial protection. We searched Web of Science, PubMed, and Google Scholar. Of the available articles, 43.13% were on ART coverage, 40.28% were on financial protection, 10.43% were on quality of care, and 6.16% were on equity. A lack of ART, fear of unwanted disclosure, lack of transportation, unaffordable health care costs, long waiting time to receive care, and poverty were barriers to ART coverage. Catastrophic health care costs were higher among individuals who were living in rural settings, walked greater distances to reach health care institutions, had a lower socioeconomic status, and were immunocompromised. There were challenges to the provision of quality of care, including health care providers' inadequate salary, high workload and inadequate health workforce, inappropriate infrastructure, lack of training opportunities, unclear division of responsibility, and the presence of strict auditing. In conclusion, ART coverage was below the global average, and key populations were disproportionally less covered with ART in most countries. Huge catastrophic health expenditures were observed. UHC contexts of ART will be improved by reaching people with poor socioeconomic status, delivering appropriate services, establishing a proper health workforce and service stewardship.

The role of teams in shaping quality of obstetrical care: a cross-sectional study in Dire Dawa, Ethiopia

OBJECTIVES

To examine how characteristics of clinical colleagues influence quality of care.

DESIGN

We conducted a cross-sectional observational study examining the associations between quality of care and a provider's coworkers, controlling for individual provider's characteristics and contextual factors.

SETTING

Nine health facilities in Dire Dawa Administration, Ethiopia, from December 2020 to February 2021.

PARTICIPANTS

824 clients and 95 unique providers were observed across the 9 health facilities.

OUTCOME MEASURES

We examine the quality of processes of intrapartum and immediate postpartum care during five phases of the delivery (first examination, first stage of labour, third stage of labour, immediate newborn care and immediate maternal postpartum care).

RESULTS

For the average client, 50% of the recommended routine clinical actions were completed during the delivery overall, with immediate maternal postpartum care being the least well performed (17% of recommended actions). Multiple healthcare providers were involved in 55% of deliveries. The number of providers contributing to a delivery was unassociated with the quality of care, but a one standard deviation increase in the coworker's performance was associated with a 2% point increase in quality of care (p<0.01); this association was largest among providers in the middle quartiles of performance.

CONCLUSIONS

A provider's typical performance had a modest positive association with quality of delivery care given by their coworker. As delivery care is often provided by multiple healthcare providers, examining the dynamics of how they influence one another can provide important insights for quality improvement.

Regional medical inter-institutional cooperation in medical provider network constructed using patient claims data from Japan

The aging world population requires a sustainable and high-quality healthcare system. To examine the efficiency of medical cooperation, medical provider and physician networks were constructed using patient claims data. Previous studies have shown that these networks contain information on medical cooperation. However, the usage patterns of multiple medical providers in a series of medical services have not been considered. In addition, these studies used only general network features to represent medical cooperation, but their expressive ability was low. To overcome these limitations, we analyzed the medical provider network to examine its overall contribution to the quality of healthcare provided by cooperation between medical providers in a series of medical services. This study focused on: i) the method of feature extraction from the network, ii) incorporation of the usage pattern of medical providers, and iii) expressive ability of the statistical model. Femoral neck fractures were selected as the target disease. To build the medical provider networks, we analyzed the patient claims data from a single prefecture in Japan between January 1, 2014 and December 31, 2019. We considered four types of models. Models 1 and 2 use node strength and linear regression, with Model 2 also incorporating patient age as an input. Models 3 and 4 use feature representation by node2vec with linear regression and regression tree ensemble, a machine learning method. The results showed that medical providers with higher levels of cooperation reduce the duration of hospital stay. The overall contribution of the medical cooperation to the duration of hospital stay extracted from the medical provider network using node2vec is approximately 20%, which is approximately 20 times higher than the model using strength.