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Hu Y, Sun Q, Han Y, Yu C, Guo Y, Sun D, Pang Y, Pei P, Yang L, Chen Y, Du H, Wang M, Stevens R, Chen J, Chen Z, Li L, Lv J. Role of lifestyle factors on the development and long-term prognosis of pneumonia and cardiovascular disease in the Chinese population. Chin Med J (Engl) 2024:00029330-990000000-01200. [PMID: 39193696 DOI: 10.1097/cm9.0000000000003160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND Whether adherence to a healthy lifestyle is associated with a lower risk of developing pneumonia and a better long-term prognosis remains unclear. This study aimed to investigate associations of individual and combined lifestyle factors (LFs) with the incidence risk and long-term prognosis of pneumonia hospitalization. METHODS Using data from the China Kadoorie Biobank study, we used the multistate models to investigate the role of five high-risk LFs, including smoking, excessive alcohol drinking, unhealthy dietary habits, physical inactivity, and unhealthy body shape, alone or in combination in the transitions from a generally healthy state at baseline to pneumonia hospitalization or cardiovascular disease (CVD, regarded as a reference outcome), and subsequently to mortality. RESULTS Most of the five high-risk LFs were associated with increased risks of transitions from baseline to pneumonia and from pneumonia to death, but with different risk estimates. The greater the number of high-risk LFs, the higher the risk of developing pneumonia and long-term mortality risk after pneumonia, with the strength of associations comparable to that of LFs and CVD. Compared to participants with 0-1 high-risk LF, the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for transitions from baseline to pneumonia and from pneumonia to death in those with five high-risk LFs were 1.43 (1.28-1.60) and 1.98 (1.61-2.42), respectively. Correspondingly, the respective HRs (95% CIs) for transitions from baseline to CVD and from CVD to death were 2.00 (1.89-2.11) and 1.44 (1.30-1.59), respectively. The risk estimates changed slightly when further adjusting for the presence of major chronic diseases. CONCLUSION In this Chinese population, unhealthy LFs were associated with an increased incidence and long-term mortality risk of pneumonia.
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Affiliation(s)
- Yizhen Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350000, China
| | - Qiufen Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yuting Han
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, Beijing 100037, China
| | - Dianjianyi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Huaidong Du
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX3 7LF, UK
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Mengwei Wang
- NCDs Prevention and Control Department, Henan CDC, Zhengzhou, Henan 450016, China
| | - Rebecca Stevens
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China
- State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China
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Liu T, Li F, Li Y, Li J, Chen L, Yang Z, Cao C. Epidemiological characteristics and factors influencing hospitalization burden among trauma patients: a retrospective analysis. Eur J Trauma Emerg Surg 2024; 50:425-437. [PMID: 37653128 DOI: 10.1007/s00068-023-02353-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 08/21/2023] [Indexed: 09/01/2023]
Abstract
PURPOSE This investigation aimed to understand the epidemiological characteristics and hospitalization burden and its possible influencing factors of patients with different injury mechanisms. METHODS All trauma patients admitted via the emergency department at a trauma center from November 1, 2020, to April 30, 2022, were identified. The hospitalization burden, including the number of hospitalizations, deaths and in-hospital mortality, length of stay (LOS), and medical costs, was calculated. Univariate and multivariate logistic regression models were used to analyze the factors influencing the hospitalization burden of trauma. The receiver-operating characteristic (ROC) curves were drawn to evaluate the predictive value of the multivariate model. RESULTS 16 485 trauma patients with 16 552 hospitalizations were included, with an in-hospital mortality rate of 1.269‰, median LOS of 7 days, and median hospitalization costs of 54 725.28 CNY. The median age was 52 years. 62.54% were hospitalized due to falls. The upper and lower extremities were the most common injury regions. There are differences between the demographic, injury, and hospitalization characteristics and factors influencing hospitalization burden across injury mechanisms, but there were also common influencing factors. Injury region, surgery, transfusion, and ICU treatment are influential factors for prolonged LOS. Age, injury region, surgery, and transfusion were influential factors for high hospitalization costs. CONCLUSIONS This study provided primary evidence on the hospitalization burden of trauma. Considering demographics, injury and hospitalization characteristics as additional discriminators could further intervene in LOS and medical costs. Targeted efforts to use more early prevention measures could potentially lower future hospitalization burden.
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Affiliation(s)
- Tao Liu
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
| | - Fangguo Li
- Department of Orthopaedic Surgery, Tianjin Hospital, Tianjin University, Tianjin, China
| | - Yue Li
- College of Management and Economics, Tianjin University, Tianjin, China
| | - Ji Li
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China
| | - Liming Chen
- Department of Anorectal Surgery, Tianjin Hospital, Tianjin University, Tianjin, China
| | - Zhao Yang
- Department of Orthopaedic Surgery, Tianjin Hospital, Tianjin University, Tianjin, China.
| | - Chunxia Cao
- Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
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Tong X, Gao L, Wong ICK, Chan VKY, Wong AYS, Mak JCW, Yuen JKY, Jit M, Hung IFN, Yiu KH, Li X. Effects of sequential vs single pneumococcal vaccination on cardiovascular diseases among older adults: a population-based cohort study. Int J Epidemiol 2024; 53:dyae005. [PMID: 38332579 PMCID: PMC10853609 DOI: 10.1093/ije/dyae005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 01/12/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Recommendations around the use of 23-valent pneumococcal polysaccharide vaccine (PPSV23) and 13-valent pneumococcal conjugate vaccine (PCV13) seldom focus on potential benefits of vaccine on comorbidities. We aimed to investigate whether sequential vaccination with PCV13 and PPSV23 among older adults would provide protection against cardiovascular diseases (CVD) compared with using a single pneumococcal vaccine. METHODS We conducted a Hong Kong-wide retrospective cohort study between 2012 and 2020. Adults aged ≥65 years were identified as receiving either a single or sequential dual vaccination and followed up until the earliest CVD occurrence, death or study end. To minimize confounding, we matched each person receiving a single vaccination to a person receiving sequential vaccination according to their propensity scores. We estimated the hazard ratio (HR) of CVD risk using Cox regression and applied structural equation modelling to test whether the effect of sequential dual vaccination on CVD was mediated via the reduction in pneumonia. RESULTS After matching, 69 390 people remained in each group and the median (interquartile range) follow-up time was 1.89 (1.55) years. Compared with those receiving a single vaccine, those receiving sequential dual vaccination had a lower risk of CVD [HR (95% CI): 0.75 (0.71, 0.80), P < 0.001]. Post-hoc mediation analysis showed strong evidence that the decreased CVD risk was mediated by the reduction in all-cause pneumonia. CONCLUSIONS Sequential dual pneumococcal vaccination was associated with lower risk of CVD compared with single-dose PCV13 or PPSV23 in older adults. Such additional CVD benefits should be considered when making decisions about pneumococcal vaccination.
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Affiliation(s)
- Xinning Tong
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Orthopaedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Le Gao
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Ian C K Wong
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- Aston School of Pharmacy, Aston University, Birmingham, UK
| | - Vivien K Y Chan
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Angel Y S Wong
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- London School of Hygiene and Tropical Medicine, London, UK
| | - Judith C W Mak
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Jacqueline K Y Yuen
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Mark Jit
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
- London School of Hygiene and Tropical Medicine, London, UK
| | - Ivan F N Hung
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Kai Hang Yiu
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Xue Li
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China
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Lv C, Pan T, Shi W, Peng W, Gao Y, Muhith A, Mu Y, Xu J, Deng J, Wei W. Establishment of risk model for elderly CAP at different age stages: a single-center retrospective observational study. Sci Rep 2023; 13:12432. [PMID: 37528213 PMCID: PMC10393957 DOI: 10.1038/s41598-023-39542-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/26/2023] [Indexed: 08/03/2023] Open
Abstract
Community-acquired pneumonia (CAP) is one of the main reasons of mortality and morbidity in elderly population, causing substantial clinical and economic impacts. However, clinically available score systems have been shown to demonstrate poor prediction of mortality for patients aged over 65. Especially, no existing clinical model can predict morbidity and mortality for CAP patients among different age stages. Here, we aimed to understand the impact of age variable on the establishment of assessment model and explored prognostic factors and new biomarkers in predicting mortality. We retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University. We used univariate and multiple logistic regression analyses to study the prognostic factors of mortality in each age-based subgroup. The prediction accuracy of the prognostic factors was determined by the Receiver Operating Characteristic curves and the area under the curves. Combination models were established using several logistic regressions to save the predicted probabilities. Four factors with independently prognostic significance were shared among all the groups, namely Albumin, BUN, NLR and Pulse, using univariate analysis and multiple logistic regression analysis. Then we built a model with these 4 variables (as ABNP model) to predict the in-hospital mortality in all three groups. The AUC value of the ABNP model were 0.888 (95% CI 0.854-0.917, p < 0.000), 0.912 (95% CI 0.880-0.938, p < 0.000) and 0.872 (95% CI 0.833-0.905, p < 0.000) in group 1, 2 and 3, respectively. We established a predictive model for mortality based on an age variable -specific study of elderly patients with CAP, with higher AUC value than PSI, CURB-65 and qSOFA in predicting mortality in different age groups (66-75/ 76-85/ over 85 years).
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Affiliation(s)
- Chunxin Lv
- Oncology Department, Shanghai Punan Hospital of Pudong New District, No 279, Linyi Road, Pudong, Shanghai, China
| | - Teng Pan
- Longgang District Maternity & Child Healthcare Hospital of Shenzhen City, Shenzhen, China
- Faculty of Life Sciences and Medicine, School of Cancer and Pharmaceutical Sciences, King's College London, London, UK
| | - Wen Shi
- Department of Dermatology, Shanghai Punan Hospital of Pudong New District, No 279, Linyi Road, Shanghai, China
| | - Weixiong Peng
- Hunan Zixing Artificial Intelligence Technology Group Co., Ltd., Hunan Province, Changsha City, China
| | - Yue Gao
- Hunan Zixing Artificial Intelligence Technology Group Co., Ltd., Hunan Province, Changsha City, China
| | - Abdul Muhith
- Department of Oncology, Royal Marsden Hospital, London, UK
| | - Yang Mu
- Hunan Zixing Artificial Intelligence Technology Group Co., Ltd., Hunan Province, Changsha City, China
| | - Jiayi Xu
- Geriatric Department, Minhang Hospital, Fudan University, No 170, Xinsong Road, Shanghai, China
| | - Jinhai Deng
- Hunan Zixing Artificial Intelligence Technology Group Co., Ltd., Hunan Province, Changsha City, China.
- Richard Dimbleby Department of Cancer Research, Comprehensive Cancer Centre, Kings College London, London, SE1 1UL, UK.
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC), Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou, Chongqing, China.
| | - Wei Wei
- Oncology Department, Shanghai Punan Hospital of Pudong New District, No 279, Linyi Road, Pudong, Shanghai, China.
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Cilloniz C, Pericas JM, Curioso WH. Interventions to improve outcomes in community-acquired pneumonia. Expert Rev Anti Infect Ther 2023; 21:1071-1086. [PMID: 37691049 DOI: 10.1080/14787210.2023.2257392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/25/2023] [Accepted: 09/06/2023] [Indexed: 09/12/2023]
Abstract
INTRODUCTION Community-acquired pneumonia (CAP) is a common infection associated with high morbimortality and a highly deleterious impact on patients' quality of life and functionality. We comprehensively review the factors related to the host, the causative microorganism, the therapeutic approach and the organization of health systems (e.g. setting for care and systems for allocation) that might have an impact on CAP-associated outcomes. Our main aims are to discuss the most controversial points and to provide some recommendations that may guide further research and the management of patients with CAP, in order to improve their outcomes, beyond mortality. AREA COVERED In this review, we aim to provide a critical account of potential measures to improve outcomes of CAP and the supporting evidence from observational studies and clinical trials. EXPERT OPINION CAP is associated with high mortality and a highly deleterious impact on patients' quality of life. To improve CAP-associated outcomes, it is important to understand the factors related to the patient, etiology, therapeutics, and the organization of health systems.
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Affiliation(s)
- Catia Cilloniz
- IDIBAPS, Center for Biomedical Research in Respiratory Diseases Network (CIBERES), Barcelona, Spain
- Facultad de Ciencias de la Salud, Universidad Continental, Huancayo, Peru
| | - Juan Manuel Pericas
- Liver Unit, Internal Medicine Department, Vall d'Hebron University Hospital, Vall d'Hebron Institute for Research (VHIR), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (Ciberehd), Barcelona, Spain
| | - Walter H Curioso
- Facultad de Ciencias de la Salud, Universidad Continental, Huancayo, Peru
- Health Services Administration, Continental University of Florida, Margate, FL, USA
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Pi Z, Aoyagi K, Arima K, Wu X, Ye Z, Jiang Y. Optimization of Elderly Influenza and Pneumococcal Immunization Programs in Beijing, China Using Health Economic Evaluations: A Modeling Study. Vaccines (Basel) 2023; 11:vaccines11010161. [PMID: 36680005 PMCID: PMC9863432 DOI: 10.3390/vaccines11010161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 01/04/2023] [Accepted: 01/09/2023] [Indexed: 01/15/2023] Open
Abstract
(1) Background: Currently, residents ≥ 60 and ≥65 years old in Beijing, China, are eligible for free influenza and pneumococcal polysaccharide vaccines (PPSV23), respectively. The present study aimed to assess the cost-effectiveness of current and alternative strategies of dual influenza and PPSV23 vaccination among the elderly in Beijing. (2) Methods: We developed a Markov state-transition model to compare the costs and the quality-adjusted life years (QALYs) associated with four influenza and PPSV23 vaccination strategies among the elderly in Beijing. The strategies were as follows: (1) no vaccination; (2) only flu vaccine for people ≥ 60 years old; (3) flu vaccine for people ≥ 60 years old and PPSV23 for people ≥ 65 years old; and (4) dual influenza vaccines and PPSV23 for people ≥ 60 years old. Incremental costs and QALYs were quantified to determine the optimal option. If dominant strategies emerged, the Chinese gross domestic product per capita in 2021 (80,976 CNY) was used as the willingness-to-pay (WTP) threshold to covert QALYs into the monetary equivalent. (3) Results: The current program saved costs and increased QALYs compared to no vaccination or flu vaccine-only strategies. However, extending free PPSV23 to people ≥ 60 years old saved 0.35 CNY additionally while increasing QALYs marginally compared with the current policy. Results were robust in all sensitivity analyses. (4) Conclusion: Beijing's current dual influenza and pneumococcal vaccination program was cost-effective among the elderly compared with the preceding policies of no vaccination and flu-only immunization programs. However, the program can further save money while enhancing the population health by extending PPSV23 to all people ≥ 60 years old.
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Affiliation(s)
- Zhenfei Pi
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan
| | - Kiyoshi Aoyagi
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan
| | - Kazuhiko Arima
- Department of Public Health, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki 852-8523, Japan
| | - Xiaoliang Wu
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Zhaojia Ye
- Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Yawen Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Room 533, West Wing of Medical Complex #1, 66 Gongchang Road, Guangming District, Shenzhen 518107, China
- Correspondence: ; Tel.: +86-13632974660
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Wang Q, Yang L, Chen J, Tu X, Sun Q, Li H. Quality of Care in Public County Hospitals: A Cross-Sectional Study for Stroke, Pneumonia, and Heart Failure Care in Eastern China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9144. [PMID: 35897514 PMCID: PMC9332810 DOI: 10.3390/ijerph19159144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 07/22/2022] [Accepted: 07/23/2022] [Indexed: 11/17/2022]
Abstract
There are very few studies about the quality of care (QoC) in Chinese county hospitals. Using 7, 6, and 6 standard operations from clinical pathways as the process indicators, we evaluated the quality of stroke, pneumonia, and heart failure care, respectively. We also conducted chi-squared tests to detect differences of quality between selected counties or hospitals. We extracted relevant information from medical records of 421 stroke cases, 329 pneumonia cases, and 341 heart failure cases, which were sampled from 6 county hospitals in 3 counties of eastern China. The average proportion of recommended care delivered included stroke, pneumonia, and heart failure patients at 55.36%, 41.64%, and 49.56%, respectively. Great variation of QoC was detected not only across selected counties but between comprehensive county hospitals and traditional Chinese medicine county hospitals. We deny the widely-accepted assumptions that poor QoC should be blamed on defectively-equipped facilities or medicine and overwhelmed care providers. Instead, we speculate the low qualifications of medical workers, failed clinical knowledge translation, incorrect diagnosis, and a lack of electronic systems could be the reasons behind poor QoC. It is high time for China to put QoC as the national health priority.
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Affiliation(s)
- Quan Wang
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Health Commission (NHC) Key Lab of Health Economics and Policy Research, Shandong University, Jinan 250012, China
| | - Li Yang
- School of Public Health, Peking University, Beijing 100191, China
| | - Jialin Chen
- Shandong Provincial Hospital for Skin Diseases & Shandong Provincial Institute of Dermatology and Venerology, Shandong Academy of Medical Sciences, Jinan 250022, China
| | - Xi Tu
- School of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100005, China
| | - Qiang Sun
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Health Commission (NHC) Key Lab of Health Economics and Policy Research, Shandong University, Jinan 250012, China
| | - Hui Li
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- National Health Commission (NHC) Key Lab of Health Economics and Policy Research, Shandong University, Jinan 250012, China
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