John R Bowblis

Dados Biográficos

ID256529
NOMEJohn R Bowblis
PRENOMESJohn R
SOBRENOMEBowblis
ASSINATURABOWBLIS J R
AFILIAÇÕESMiami University
ORCID0000-0003-4776-4182
VERIFICADOSim
TOTAL DE OBRAS11
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR11
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2007
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1

  • Demographic and Health Sorting Among Nursing Home Residents

    Megdalynn Fisher, M Mustaine et al.ARTICLEJournal of Aging & Social Policy2026

    Despite major policy and societal changes over two decades, trends in the demographic and health sorting of nursing home residents remain underexplored. This study focuses on sorting by one demographic factor - race - over time between nursing homes and local communities, and within nursing homes, by another demographic factor - age - as well as health status. Racial sorting is measured using the dissimilarity index, including novel measures of B…

  • Does Medicaid Cover the Cost of Nursing Home Care? Variation By Ownership Status, Payer-Mix, and Staffing Level

    John R Bowblis, Elizabeth A Miller et al.ARTICLEMedical Care2026Referências: 19

    OBJECTIVES: This paper examines whether Medicaid payment rates are aligned with the cost of caring for Medicaid residents and how this relationship varies by facility characteristics. BACKGROUND: Medicaid is the primary payer for most nursing home residents, but limited information exists on the relationship between payment rates and costs of caring for Medicaid beneficiaries. METHODS: Per diem Medicaid payment rates were obtained directly from s…

  • Developing a Machine Learning Risk-adjustment Method for Hospitalizations and Emergency Department Visits of Nursing Home Residents With Dementia

    Huiwen Xu, John R Bowblis et al.ARTICLEMedical Care2023Referências: 32

    BACKGROUND: Long-stay nursing home (NH) residents with Alzheimer disease and related dementias (ADRD) are at high risk of hospital transfers. Machine learning might improve risk-adjustment methods for NHs. OBJECTIVES: The objective of this study was to develop and compare NH risk-adjusted rates of hospitalizations and emergency department (ED) visits among long-stay residents with ADRD using Extreme Gradient Boosting (XGBoost) and logistic regres…

  • Rural-Urban Differences in Nursing Home Risk-adjusted Rates of Emergency Department Visits

    Huiwen Xu, John R Bowblis et al.ARTICLEMedical Care2021Referências: 36

    BACKGROUND: Higher risk-adjusted rate of emergency department (ED) visits might reflect poor quality of nursing home (NH) care; however, existing evidence is limited regarding rural-urban differences in ED rates of NHs, especially for long-stay residents. OBJECTIVES: To determine and quantify sources of rural-urban differences in NH risk-adjusted rates of any ED visit, ED without hospitalization or observation stay (outpatient ED), and potentiall…

  • Occupational Licensing of Social Services and Nursing Home Quality

    Open AccessJohn R Bowblis, Austin C SmithARTICLEIndustrial and Labor Relations…2021Referências: 31

    Occupational licensing has grown dramatically in recent years, with more than 25% of the US workforce having a license as of 2008, up from 5% in 1950. Has licensing improved quality or is it simply rent-seeking behavior by incumbent workers? To estimate the impact of increased licensure of social workers in skilled nursing facilities (SNFs) on service quality, the authors exploit a federal staffing provision that requires SNFs of a certain size t…

  • Changes over Time in Racial/Ethnic Differences in Quality of Life for Nursing Home Residents

    Open AccessTetyana Shippee, Weiwen Ng et al.ARTICLEJournal of Aging and Health2020Citada por: 1Referências: 3

    Objectives: To investigate trends in racial/ethnic differences in nursing home (NH) residents' quality of life (QoL) and assess these patterns within and between facilities. Method: Data include resident-reported QoL surveys ( n = 60,093), the Minimum Data Set, and facility-level characteristics ( n = 376 facilities) for Minnesota. Hierarchical linear models were estimated to identify differences in QoL by resident race/ethnicity and facility rac…

  • Construction and Validation of Risk-adjusted Rates of Emergency Department Visits for Long-stay Nursing Home Residents

    Huiwen Xu, John R Bowblis et al.ARTICLEMedical Care2020Referências: 30

    BACKGROUND: Long-stay nursing home (NH) residents are at high risk of having emergency department (ED) visits, but current knowledge regarding risk-adjusted ED rates is limited. OBJECTIVES: To construct and validate 3 quarterly risk-adjusted rates of long-stay residents' ED use: any ED visit, ED visits without hospitalization or observation stay (outpatient ED), and potentially avoidable ED visits (PAED). RESEARCH DESIGN: The authors calculated q…

  • Geographic Market Definition

    Open AccessJohn R Bowblis, Phillip NorthARTICLEINQUIRY The Journal of Health…2011

    Correct geographic market definition is important to study the impact of competition. In the nursing home industry, most studies use geopolitical boundaries to define markets. This paper uses the Minimum Data Set to generate an alternative market definition based on patient flows for Medicare skilled nursing facilities. These distances are regressed against a range of nursing home and area characteristics to determine what influences market size.…

  • The Decline in Infant Death Rates, 1878-1913

    Open AccessJohn R BowblisARTICLEThe Journal of Economic History2010Referências: 21

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  • Racial and ethnic disparities in the use of drug therapy

    Open AccessJohn R Bowblis, Myeong‐su Yun et al.ARTICLESocial Science Research2010Referências: 32

  • Adherence to Antidepressant Treatment Among Privately Insured Patients Diagnosed With Depression

    Ayse Akincigil, Ayşe Akıncıgil et al.ARTICLEMedical Care2007Referências: 33

    BACKGROUND: Antidepressants are effective in treatment of depression, but poor adherence to medication is a major obstacle to effective care. OBJECTIVE: We sought to describe patient and provider level factors associated with treatment adherence. METHODS: This was a retrospective, observational study using medical and pharmacy claims from a large health plan, for services provided between January 2003 and January 2005. We studied a total of 4312 …