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本文引用的文献

1
Who is your prenatal care provider? An algorithm to identify the predominant prenatal care provider with claims data.你的产前保健提供者是谁?利用索赔数据识别主要产前保健提供者的算法。
BMC Health Serv Res. 2024 May 27;24(1):665. doi: 10.1186/s12913-024-11080-2.
2
On the geographic access to healthcare, beyond proximity.论医疗保健的地理可及性,超越邻近性。
Geospat Health. 2023 Sep 28;18(2). doi: 10.4081/gh.2023.1199.
3
Physician Referrals During Prenatal Care.产前保健期间的医师转介。
Matern Child Health J. 2021 Dec;25(12):1820-1828. doi: 10.1007/s10995-021-03236-x. Epub 2021 Oct 7.
4
Variation in guideline-based prenatal care in a commercially insured population.商业保险人群中基于指南的产前护理差异。
Am J Obstet Gynecol. 2022 Mar;226(3):413.e1-413.e19. doi: 10.1016/j.ajog.2021.09.038. Epub 2021 Oct 3.
5
Impact of the Transition from ICD-9-CM to ICD-10-CM on the Identification of Pregnancy Episodes in US Health Insurance Claims Data.从ICD-9-CM转换到ICD-10-CM对美国医疗保险理赔数据中妊娠事件识别的影响。
Clin Epidemiol. 2020 Oct 15;12:1129-1138. doi: 10.2147/CLEP.S269400. eCollection 2020.
6
A scoping review of patient-sharing network studies using administrative data.利用行政数据进行患者共享网络研究的范围综述。
Transl Behav Med. 2018 Jul 17;8(4):598-625. doi: 10.1093/tbm/ibx015.
7
Obstetric medical care in the United States of America.美利坚合众国的产科医疗护理。
Obstet Med. 2017 Mar;10(1):36-39. doi: 10.1177/1753495X16677403. Epub 2016 Nov 12.
8
Primary care and specialty providers: an assessment of continuity of care, utilization, and expenditures.初级保健和专科医疗服务提供者:对医疗连续性、利用率及费用的评估
Med Care. 2014 Dec;52(12):1042-9. doi: 10.1097/MLR.0000000000000246.
9
Determinants of patient choice of healthcare providers: a scoping review.患者选择医疗服务提供者的决定因素:范围综述。
BMC Health Serv Res. 2012 Aug 22;12:272. doi: 10.1186/1472-6963-12-272.
10
Initiation of and barriers to prenatal care use among low-income women in San Antonio, Texas.德克萨斯州圣安东尼奥市低收入妇女的产前护理使用的开始和障碍。
Matern Child Health J. 2010 Jan;14(1):133-40. doi: 10.1007/s10995-008-0419-0. Epub 2008 Oct 9.

南卡罗来纳州主要产前护理提供者选择过程中的提供者个体和网络属性:一项病例对照研究。

Provider's Individual and Network Attributes in the Selection Process of a Predominant Antenatal Care Provider in South Carolina: A Case-Control Study.

机构信息

University of South Carolina School of Medicine, Columbia, SC, USA.

出版信息

Inquiry. 2024 Jan-Dec;61:469580241273148. doi: 10.1177/00469580241273148.

DOI:10.1177/00469580241273148
PMID:39264039
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11402085/
Abstract

INTRODUCTION

This study aims to examine the association between provider attributes, including network (patient panel size, degree-number of peer connections, and community size- number of a closely connected group of peers) and individual attributes (travel distance, specialties, and rural practice), and a predominant (most visited) provider.

METHODS

This study utilized South Carolina's Medicaid claims data during 2014 to 2018, focusing on live births in hospitals. Samples were limited to pregnant women continuously enrolled in Medicaid throughout pregnancy. Predominant providers (total = 2153) were identified for 29 569 pregnancies. Network analyses involved 5520 providers, comprising 3667 antenatal care (ANC) providers and 1853 non-ANC providers. A Cartesian product (n = 45 929 845) combined five annual provider lists with all included pregnancies. Logistic regressions with repeated measures were applied to this retrospective case-control study.

RESULTS

The results demonstrated that a medium or large degree were associated with being a predominant provider if the community size was medium or large. A predominant provider was more likely to be located near, rather than far from, the served woman, and in rural areas rather than urban ones. They were also more likely to be specialists, midwives, and nurse practitioners than primary care physicians.

CONCLUSION

The results suggest that both individual and network attributes were significantly associated with being a predominant provider. Policies aimed at addressing access issues for antenatal care should consider both the individual and network attributes of providers, as providers may not be able to alter their individual attributes but can always optimize their social network.

摘要

简介

本研究旨在探讨提供者属性(包括网络属性[患者人数、同行连接度和社区大小-紧密连接的同行群体数量]和个体属性[旅行距离、专业和农村执业])与主要(就诊最多)提供者之间的关联。

方法

本研究利用了南卡罗来纳州 2014 年至 2018 年的医疗补助索赔数据,重点关注医院中的活产。样本仅限于在整个孕期持续参加医疗补助的孕妇。共确定了 29569 例妊娠的 2153 名主要提供者。网络分析涉及 5520 名提供者,包括 3667 名产前护理(ANC)提供者和 1853 名非 ANC 提供者。一个笛卡尔积(n=45929845)将五年的提供者名单与所有纳入的妊娠结合起来。该回顾性病例对照研究采用重复测量的逻辑回归。

结果

结果表明,如果社区规模中等或较大,则中等或较大的程度与成为主要提供者相关。主要提供者更有可能位于服务妇女的附近,而不是远离,并且位于农村地区而不是城市地区。他们也更有可能是专科医生、助产士和执业护士,而不是初级保健医生。

结论

结果表明,个体和网络属性都与成为主要提供者显著相关。旨在解决产前护理获取问题的政策应考虑提供者的个体和网络属性,因为提供者可能无法改变其个体属性,但始终可以优化其社交网络。