Impact of Multimorbidity Subgroups on the Health Care Use and Clinical Outcomes of Patients With Tuberculosis: A Population-Based Cohort Analysis

被引:10
|
作者
Chen, Qin [1 ]
Che, Yang [2 ]
Xiao, Yue [3 ]
Jiang, Feng [3 ]
Chen, Yanfei [3 ]
Zhou, Jifang [3 ]
Yang, Tianchi [2 ]
机构
[1] Univ Chinese Acad Sci, Hwa Mei Hosp, Ningbo, Peoples R China
[2] Inst TB Prevent & Control, Ningbo Municipal Ctr Dis Control & Prevent, Ningbo, Peoples R China
[3] China Pharmaceut Univ, Sch Int Pharmaceut Business, Nanjing, Peoples R China
关键词
tuberculosis; delivery of health care; health expenditures; multimorbidity-coordination of care-general practitioner; latent class analysis; DIABETES-MELLITUS; PREVALENCE;
D O I
10.3389/fpubh.2021.756717
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Multimorbidity is defined as the existence of two or more chronic health conditions in the same individual. While patients with tuberculosis commonly have multiple conditions at diagnosis, such as HIV, diabetes, and depression, to the authors' knowledge, there is limited information on the patterns of multimorbidity, and how the types and combinations of conditions could impact the healthcare utilization, expenditure, and TB outcomes. Methods: An observational cohort study of adult patients diagnosed with tuberculosis was conducted using the Chinese Center for Disease Control and Prevention (CDC)'s National TB Information System (NTBIS) linked to the Ningbo Regional Health Care Database (NRHCD) (2015-2020). Latent class analysis was used to identify comorbidity groups among the subset with >= 2 conditions including TB. Group-level health care use, expenditure, and treatment outcomes were compared with patients without chronic conditions using multivariate regression models. Results: A total of 9,651 patients with TB were identified, of whom approximately 61.4% had no chronic conditions, 17.4% had 1 chronic condition, and 21.3% had >= 2 chronic conditions. Among those with >= 1 chronic condition other than TB, 4 groups emerged: (1) general morbidity (54.4%); (2) cardiovascular morbidity without complications (34.7%); (3) cardiovascular morbidity with complications (5.0%); (4) respiratory morbidity (5.9%). The respiratory morbidity group experienced the highest expenditures, at 16,360 CNY more overall (95% CI, CNY 12,615-21,215) after adjustment compared with TB patients without chronic conditions. The respiratory morbidity and cardiovascular morbidity with complications group also had the lowest odds of favorable TB outcomes [adjusted odds ratio (aOR), 0.68; 95% CI, 0.49-0.93] and (aOR 0.59, 95% CI 0.42-0.83), respectively. The cardiovascular morbidity without complications group had the highest odds of successful TB treatment (aOR, 1.40; 95% CI, 1.15-1.71). Conclusions: Multimorbidity is common among patients with TB. The current study identified four distinct comorbidity subgroups, all of which experienced high, yet differential, rates of health care use. These findings highlight the need for urgent reforms to transform current fragmented TB care delivery and improve access to other specialists and financial assistance.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Impact of multi-morbidity subgroups on the health care use, expenditures, and clinical outcomes among patients with tuberculosis: A population-based cohort analysis
    Qin, Chen
    Yang, Tianchi
    Che, Yang
    Xiao, Yue
    Jiang, Feng
    Chen, Yanfei
    Zhou, Jifang
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2022, 31 : 636 - 637
  • [2] Multimorbidity in Patients with Sarcoidosis: A Population-Based Cohort Study
    Ungprasert, Patompong
    Matteson, Eric L.
    Crowson, Cynthia S.
    ARTHRITIS & RHEUMATOLOGY, 2017, 69
  • [3] Determinants of Health Care Use in a Population-Based Leukodystrophy Cohort
    Nelson, Clint
    Mundorff, Michael B.
    Korgenski, E. Kent
    Brimley, Cameron J.
    Srivastava, Rajendu
    Bonkowsky, Joshua L.
    JOURNAL OF PEDIATRICS, 2013, 162 (03): : 624 - +
  • [4] The Influence of Multimorbidity on Clinical Progression of Dementia in a Population-Based Cohort
    Melis, Rene J. F.
    Marengoni, Alessandra
    Rizzuto, Debora
    Teerenstra, Steven
    Kivipelto, Miia
    Angleman, Sara B.
    Fratiglioni, Laura
    PLOS ONE, 2013, 8 (12):
  • [5] Impact of multimorbidity subgroups on the health care use of early pediatric cancer survivors
    Harrington, Rachel L.
    Qato, Dima M.
    Antoon, James W.
    Caskey, Rachel N.
    Schumock, Glen T.
    Lee, Todd A.
    CANCER, 2020, 126 (03) : 649 - 658
  • [6] The impact of socioeconomic status and multimorbidity on mortality: a population-based cohort study
    Jensen, Nikoline Lund
    Pedersen, Henrik Sondergaard
    Vestergaard, Mogens
    Mercer, Stewart W.
    Glumer, Charlotte
    Prior, Anders
    CLINICAL EPIDEMIOLOGY, 2017, 9 : 279 - 289
  • [7] The Impact of Sepsis on the Outcomes of COPD Patients: A Population-Based Cohort Study
    Chen, Cheng-Hsin
    Lai, Chih-Cheng
    Wang, Ya-Hui
    Wang, Cheng-Yi
    Wang, Hao-Chien
    Yu, Chong-Jen
    Chen, Likwang
    JOURNAL OF CLINICAL MEDICINE, 2018, 7 (11)
  • [8] Mental health outcomes in a population-based cohort of patients with prostate cancer
    Hu, Siqi
    Chang, Chun-Pin
    Snyder, John
    Deshmukh, Vikrant
    Newman, Michael
    Date, Ankita
    Galvao, Carlos
    Haaland, Benjamin
    Porucznik, Christina A.
    Gren, Lisa H.
    Sanchez, Alejandro
    Lloyd, Shane
    O'Neil, Brock
    Hashibe, Mia
    JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2024, 116 (03): : 445 - 454
  • [9] The Impact of Cannabis Use on Clinical Outcomes in Inflammatory Bowel Disease: A Population-based Longitudinal Cohort Study
    Glickman, Danny
    Dalessio, Shannon
    Raup-Konsavage, Wesley M.
    Vrana, Kent E.
    Coates, Matthew D.
    INFLAMMATORY BOWEL DISEASES, 2023, 30 (07) : 1055 - 1061
  • [10] Use of Antiplatelet Agents and Survival of Tuberculosis Patients: A Population-Based Cohort Study
    Lee, Meng-Rui
    Lee, Ming-Chia
    Chang, Chia-Hao
    Liu, Chia-Jung
    Chang, Lih-Yu
    Zhang, Jun-Fu
    Wang, Jann-Yuan
    Lee, Chih-Hsin
    JOURNAL OF CLINICAL MEDICINE, 2019, 8 (07):