Impact of the PCMH model on post-stroke healthcare utilization

被引:0
|
作者
Ko-Shin Chen
Meng Wu
Linda S. Efferen
机构
[1] New York State Department of Health,
[2] Center for Applied Research and Evaluation,undefined
[3] Office of Quality and Patient Safety,undefined
来源
关键词
Patient-centered care; Patient centered medical home; Stroke; Primary care;
D O I
10.1007/s44250-024-00066-w
中图分类号
学科分类号
摘要
The patient-centered medical home (PCMH) model has aimed to enhance chronic care in a primary care setting where providers are expected to provide timely post-discharge follow-up and decrease potentially preventable hospital readmissions through coordinated disease management. The study examined PCMH and other (risk) factors associated with 30-day unplanned readmission as well as 7- and 28-day follow-up visit with primary care providers (PCPs). We identified 8424 New York State Medicaid patients having initial stroke discharges during 2016–2018 from the Medicaid claims database and Statewide Planning and Research Cooperative System. A patient was in the PCMH group if the attributed provider had a valid National Committee for Quality Assurance PCMH recognition upon patient’s discharge. Cox regression and competing risk analyses were used to estimate the hazard ratios of readmissions and follow-up visits between PCMH and non-PCMH groups. The PCMH group had slightly but not statistically significant lower all-cause and recurrent stroke unplanned readmission rates. While the general follow-up rates between the two groups are similar, the PCMH group had significantly higher rates of stroke-specific 7-day (HR = 1.27, P < 0.01) and 28-day follow-up visits (HR = 1.22, P < 0.01). PCPs play an essential role in post stroke care. Our findings show a significantly higher rate of stroke-specific follow-up visits and a trend towards lower readmissions among patients in the PCMH group. The intervals between stroke discharge and follow-up visit time in our study population were generally greater than the recommended timeframe. We recommend the PCMH care model to improve patients’ primary care follow-up and prevent potential readmissions.
引用
收藏
相关论文
共 50 条
  • [1] Healthcare utilization and cost trajectories post-stroke: role of caregiver and stroke factors
    Tyagi, Shilpa
    Koh, Gerald Choon-Huat
    Nan, Luo
    Tan, Kelvin Bryan
    Hoenig, Helen
    Matchar, David B.
    Yoong, Joanne
    Finkelstein, Eric A.
    Lee, Kim En
    Venketasubramanian, N.
    Menon, Edward
    Chan, Kin Ming
    De Silva, Deidre Anne
    Yap, Philip
    Tan, Boon Yeow
    Chew, Effie
    Young, Sherry H.
    Ng, Yee Sien
    Tu, Tian Ming
    Ang, Yan Hoon
    Kong, Keng Hee
    Singh, Rajinder
    Merchant, Reshma A.
    Chang, Hui Meng
    Yeo, Tseng Tsai
    Ning, Chou
    Cheong, Angela
    Ng, Yu Li
    Tan, Chuen Seng
    BMC HEALTH SERVICES RESEARCH, 2018, 18 : 881
  • [2] Healthcare utilization and cost trajectories post-stroke: role of caregiver and stroke factors
    Shilpa Tyagi
    Gerald Choon-Huat Koh
    Luo Nan
    Kelvin Bryan Tan
    Helen Hoenig
    David B. Matchar
    Joanne Yoong
    Eric A. Finkelstein
    Kim En Lee
    N. Venketasubramanian
    Edward Menon
    Kin Ming Chan
    Deidre Anne De Silva
    Philip Yap
    Boon Yeow Tan
    Effie Chew
    Sherry H. Young
    Yee Sien Ng
    Tian Ming Tu
    Yan Hoon Ang
    Keng Hee Kong
    Rajinder Singh
    Reshma A. Merchant
    Hui Meng Chang
    Tseng Tsai Yeo
    Chou Ning
    Angela Cheong
    Yu Li Ng
    Chuen Seng Tan
    BMC Health Services Research, 18
  • [3] Racial Differences in Neurocognitive Outcomes Post-Stroke: The Impact of Healthcare Variables
    Johnson, Neco X.
    Marquine, Maria J.
    Flores, Ilse
    Umlauf, Anya
    Baum, Carolyn M.
    Wong, Alex W. K.
    Young, Alexis C.
    Manly, Jennifer J.
    Heinemann, Allen W.
    Magasi, Susan
    Heaton, Robert K.
    JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY, 2017, 23 (08) : 640 - 652
  • [4] The Stroke Transitions Education and Prevention (STEP) Clinic: A Learning Healthcare Model for Post-Stroke Care
    Hinojosa, Evelyn
    Okpala, Munachi N.
    Cooksey, Gail
    Denny, M. C.
    Savitz, Sean, I
    Sharrief, Anjali Z.
    STROKE, 2019, 50
  • [5] The impact of aging on post-stroke depression
    Buga, A. M.
    Surugiu, R.
    Dumbrava, D.
    Gresita, A.
    Zavaleanu, A.
    Tudorica, V.
    Popa-Wagner, A.
    EXPERIMENTAL GERONTOLOGY, 2017, 94 : 112 - 113
  • [6] Post-Stroke Fatigue: Impact on Outcomes
    Lindsay, M. P.
    Foley, N.
    Eskes, G.
    CEREBROVASCULAR DISEASES, 2015, 40 : 9 - 10
  • [7] Telemedicine Impact On Post-stroke Outpatient Follow-up In An Academic Healthcare Network
    Lemuel-Clarke, Manet
    Antwan, Marlyn
    Henriquez, Laura
    Belagaje, Samir R.
    Rangaraju, Srikant
    Mosley, Ashlee
    Cabral, Jacqueline
    Walczak, Teri
    Ido, Moges
    Hashima, Patricia
    Bayakly, Rana
    Jaffe, James
    Sutherly-Bhadsavle, Loretta
    Brasher, Cyndy
    Danaie, Elham, I
    Victor, Patricia
    Westover, Deborah
    Webb, Mark
    Skukalek, Susana L.
    Barrett, A. M.
    Esper, Gregory J.
    Nahab, Fadi
    STROKE, 2022, 53
  • [8] Post-stroke seizure and post-stroke epilepsy
    Myint, P. K.
    Staufenberg, E. F. A.
    Sabanathan, K.
    POSTGRADUATE MEDICAL JOURNAL, 2006, 82 (971) : 568 - 572
  • [9] Impact of Post-Stroke Aphasia on Prognosis after Stroke
    Tanaka, Tomotaka
    Saito, Satoshi
    Bhaskar, Sonu
    Abe, Soichiro
    Ishiyama, Hiroyuki
    Fukuma, Kazuki
    Yamaguchi, Eriko
    Nakazawa, Shinsaku
    Yamauchi, Miho
    Nakaoku, Yuriko
    Ogata, Soshiro
    Nishimura, Kunihiro
    Yokota, Chiaki
    Koga, Masatoshi
    Toyoda, Kazunori
    Ihara, Masafumi
    CEREBROVASCULAR DISEASES, 2024, 53 : 104 - 104
  • [10] Post-stroke depression and post-stroke dementia
    Erkinjuntti, T
    Pohjasvaara, T
    Vataja, R
    INTERNATIONAL PSYCHOGERIATRICS, 2005, 17 : 51 - 51