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Benson J, Wolfson D, van den Broek-Altenburg E. Tradeoffs in Triage of Motor Vehicle Trauma by Rural 911 Emergency Medical Services Practitioners. Med Decis Making 2023; 43:311-324. [PMID: 36597349 DOI: 10.1177/0272989x221145677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
PURPOSE Identification and triage of severely injured patients to trauma centers is paramount to survival. Many patients are undertriaged in rural areas and do not receive proper care. The decision-making processes involved in triage are not well understood and should be assessed to improve the triage process and outcomes. METHODS Triage decision-making processes were explored through emergency medical services (EMS) practitioner focus groups and a discrete choice experiment (DCE). Attributes of trauma determined from focus groups and the literature included patient demography, injury mechanism, and trauma center distance. DCE data were analyzed using mixed logit models. RESULTS High-risk mechanism, decreased age, multiple comorbidities, and pregnancy were found to increase the preference for triage. Greater trauma center distance was found to decrease preference for triage, but practitioners were willing to trade off up to 2 h of travel time to transport a third-trimester pregnancy and 48 min of travel time to transport a 25-y-old than they would a 50-y-old with the same comorbidities, injuries, and stability. CONCLUSIONS Our findings suggest that current forms of EMS protocols may not be appropriately tailored to support the mechanisms underlying practitioner decision making. Public health professionals and researchers should consider using DCEs to better understand EMS practitioner decision making and identify structures and incentives that may improve patient outcomes and optimally guide appropriate triage decisions. HIGHLIGHTS Discrete choice experiments are an effective method to elicit prehospital practitioners' preferences around transport of the traumatized patient.Practitioner biases observed in EMS transport data are recovered in stated preference models incorporating individual preference heterogeneity.There is a discrepancy between the triage priorities recommended by protocol and those measured from prehospital practitioners' decisions-this may have implications in over- and undertriage rates and prehospital protocol design.
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Affiliation(s)
- Jamie Benson
- Department of Radiology, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.,Department of Surgery, Division of Acute Care Surgery, Larner College of Medicine at the University of Vermont, Burlington, VT, USA
| | - Daniel Wolfson
- Department of Surgery, Division of Emergency Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.,Vermont Department of Health, Division of Emergency Preparedness, Response & Injury Prevention, Burlington, VT, USA
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Yan N, Liu T, Xu Y, Fang X, Ma X, Yang M, Du J, Tan Z, Fan EW, Huang J, Akinwunmi B, Zhang CJP, Ming WK, Luo L. Healthcare preferences of the general Chinese population in the hierarchical medical system: A discrete choice experiment. Front Public Health 2022; 10:1044550. [PMID: 36466449 PMCID: PMC9713319 DOI: 10.3389/fpubh.2022.1044550] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 10/26/2022] [Indexed: 11/18/2022] Open
Abstract
Background Chinese health insurance system faces resource distribution challenges. A patient-centric approach allows decision-makers to be keenly aware of optimized medical resource allocation. Objective This study aims to use the discrete choice model to determine the main factors affecting the healthcare preferences of the general Chinese population and their weights in the three scenarios (chronic non-communicable diseases, acute infectious diseases, and major diseases). Methods This study firstly identified the key factors affecting people's healthcare preferences through literature review and qualitative interviews, and then designed the DCE questionnaire. An online questionnaire produced by Lighthouse Studio (version 9.9.1) software was distributed to voluntary respondents recruited from mainland China's entire population from January 2021 to June 2021. Participants were required to answer a total of 21 questions of three scenarios in the questionnaire. The multinomial logit model and latent class model were used to analyze the collected data. Results A total of 4,156 participants from mainland China were included in this study. The multinomial logit and latent class model analyses showed that medical insurance reimbursement is the most important attribute in all three disease scenarios. In the scenario of "non-communicable diseases," the attributes that participants valued were, from the most to the least, medical insurance reimbursement (45.0%), hospital-level (21.6%), distance (14.4%), cost (9.7%), waiting time (8.3%), and care provider (1.0%). As for willingness to pay (WTP), participants were willing to pay 204.5 yuan, or 1,743.8 yuan, to change from private hospitals or community hospitals to tertiary hospitals, respectively. Conclusions This study explores the healthcare preferences of Chinese residents from a new perspective, which can provide theoretical reference for the refinement of many disease medical reimbursement policies, such as developing different reimbursement ratios for various common diseases and realizing rational configuration of medical resources.
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Affiliation(s)
- Ni Yan
- Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Taoran Liu
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Yuan Xu
- Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Xuanbi Fang
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Xinyang Ma
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Meng Yang
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Jianhao Du
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Zijian Tan
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Er-wen Fan
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China
| | - Jian Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research (A*STAR), Singapore, Singapore,Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Babatunde Akinwunmi
- Department of Obstetrics and Gynecology, Brigham and Women's Hospital Boston, Boston, MA, United States,Center for Genomic Medicine (CGM), Massachusetts General Hospital and Harvard Medical School, Harvard University, Boston, MA, United States
| | - Casper J. P. Zhang
- School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Wai-Kit Ming
- Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China,*Correspondence: Wai-Kit Ming
| | - Liangping Luo
- Department of Medical Imaging Center, The First Affiliated Hospital, Jinan University, Guangzhou, China,Liangping Luo
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Geng J, Bao H, Feng Z, Meng J, Yu X, Yu H. Investigating patients' preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China. BMC Public Health 2022; 22:1860. [PMID: 36199056 PMCID: PMC9533494 DOI: 10.1186/s12889-022-14244-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/21/2022] [Indexed: 11/15/2022] Open
Abstract
Background Diabetes is a major public health concern with a considerable impact on healthcare expenditures. Deciding on health insurance coverage for new drugs that meet patient needs is a challenge facing policymakers. Our study aimed to assess patients’ preferences for public health insurance coverage of new anti-diabetic drugs in China. Methods We identified six attributes of new anti-diabetic drugs and used the Bayesian-efficient design to generate choice sets for a discrete choice experiment (DCE). The DCE was conducted in consecutive samples of type 2 diabetes patients in Jiangsu Province. The mixed logit regression model was applied to estimate patient-reported preferences for each attribute. The interaction model was used to investigate preference heterogeneity. Results Data from 639 patients were available for analysis. On average, the most valued attribute was the improvement in health-related quality of life (HRQoL) (β = 1.383, p < 0.001), followed by positive effects on extending life years (β = 0.787, p < 0.001), and well-controlled glycated haemoglobin (β = 0.724, p < 0.001). The out-of-pocket cost was a negative predictor of their preferences (β = -0.138, p < 0.001). Elderly patients showed stronger preferences for drugs with a lower incidence of serious side effects (p < 0.01) and less out-of-pocket costs (p < 0.01). Patients with diabetes complications favored more in the length of extended life (p < 0.01), improvement in HRQoL (p < 0.05), and less out-of-pocket costs (p < 0.001). Conclusion The new anti-diabetic drugs with significant clinical effectiveness and long-term health benefits should become the priority for public health insurance. The findings also highlight the value of accounting for preference heterogeneity in insurance policy-making. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-022-14244-z.
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Affiliation(s)
- Jinsong Geng
- Medical School of Nantong University, 226001, Nantong, Jiangsu, China.
| | - Haini Bao
- Medical School of Nantong University, 226001, Nantong, Jiangsu, China.,The First People's Hospital of Lianyungang, 222061, Lianyungang, Jiangsu, China
| | - Zhe Feng
- Medical School of Nantong University, 226001, Nantong, Jiangsu, China
| | - Jingyi Meng
- Medical School of Nantong University, 226001, Nantong, Jiangsu, China
| | - Xiaolan Yu
- Medical School of Nantong University, 226001, Nantong, Jiangsu, China
| | - Hao Yu
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 02215, Boston, MA, USA
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Li X, Jiang M, Peng Y, Shen X, Jia E, Xiong J. Community residents' preferences for chronic disease management in Primary Care Facilities in China: a stated preference survey. Arch Public Health 2021; 79:211. [PMID: 34823590 PMCID: PMC8620165 DOI: 10.1186/s13690-021-00728-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Accepted: 11/05/2021] [Indexed: 11/16/2022] Open
Abstract
Background Although Chinese government has dedicated the past decades to treating chronic diseases by primary healthcare system, many more residents are apt to choose higher-tier facilities to treat minor chronic diseases. Understanding residents’ preferences for chronic disease management in primary care facilities can bridge the gap between residents’ choices and policy implementation. This study aims to elicit residents’ preferences for chronic disease management in primary care facilities in the hypothetical minor chronic disease scenario. Methods Six hundred eighty residents were administered a discrete choice experiment that elicited preferences for chronic disease management in primary care facilities. Services attributes were service mode, treatment measure, out-of-pocket expenditure (OOP), traveling time to healthcare facility and title of physician. Mixed logit models were used to estimate stated preferences and willingness to pay for attributes. WTP confidence intervals were estimated by the delta method. Results A total of 94.44% of the completed questionnaires were valid (680 of 720 respondents). The participants preferred chronic disease management service with modern medicine, traveling time ≤ 30mins, and less OOP expenditure. Compared with Traditional Chinese Medicine (TCM), residents prefer modern medicine, willing to pay 155.53 CNY ($21.97) to change from TCM to modern medicine. Compensation about 86.02 CNY ($12.15) was needed to enable residents to change the choice of the nearer primary care facility to a further one. Integrated medicine in community clinics by experts was residents’ most preferred scenario while TCM in the tertiary hospital was their least preferred one. Conclusion In order to increase the utilization of primary healthcare services in chronic diseases management, policy makers need to concern more about the services of medical treatment type, price and convenience. Therefore, we advise policy makers to provide nearer primary healthcare services for residents especially for residents in surrounding areas. Furthermore, balancing the resource allocation between Traditional Chinese Medicine and modern medicine is worthy of consideration. Supplementary Information The online version contains supplementary material available at 10.1186/s13690-021-00728-8.
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Affiliation(s)
- Xianglin Li
- The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Mingzhu Jiang
- The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Yingying Peng
- The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Xiao Shen
- The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Erping Jia
- The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China
| | - Juyang Xiong
- The School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, Hubei, China.
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Preferences of Iranians to select the emergency department physician at the time of service delivery. BMC Health Serv Res 2021; 21:1155. [PMID: 34696787 PMCID: PMC8547076 DOI: 10.1186/s12913-021-07183-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 10/18/2021] [Indexed: 01/20/2023] Open
Abstract
Background Understanding patient preferences in emergency departments (EDs) can provide useful information to enhance patient-centred care and improve patient’s experience in hospitals. This study sought to find evidence about patients’ preference for physicians when receiving services in EDs in Iran. Methods In this discrete choice experiment survey, 811 respondents completed the scenarios with 5 attributes, including type of physicians, price of services, time to receive services, physician work experience, and physician responsibility. Analyses were conducted for different social and economic groups as well as for the total population. Results This study showed that the willingness to pay (WTP) for being visited by a physician with a high sense of responsibility was 67.104US$. WTP for being visited by an emergency medicine specialist (EMS) was 22.148US$. WTP for receiving ED services 1 min earlier was 0.417US$ and for being visited by 1 year higher experienced physician was 0.866US$. WTP varied across different age groups, sex, health status, education, and income groups. Conclusion As the expertise and experience of providers are important factors in selecting physicians in EDs by the patients, providing this information to patients when they want to select their providers can promote patient-centred care. This information can decrease patients’ uncertainty in the selection of their services and improve their experience in hospitals.
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Geng J, Chen X, Bao H, Qian D, Shao Y, Yu H. Patients' preferences for health insurance coverage of new technologies for treating chronic diseases in China: a discrete choice experiment. BMJ Open 2020; 10:e038051. [PMID: 32967882 PMCID: PMC7513632 DOI: 10.1136/bmjopen-2020-038051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES Our study aimed to inform insurance decision-making in China by investigating patients' preferences for insurance coverage of new technologies for treating chronic diseases. DESIGN We identified six attributes of new medical technologies for treating chronic diseases and used Bayesian-efficient design to generate choice sets for a discrete choice experiment (DCE). After conducting the DCE, we analysed the data by mixed logit regression to examine patient-reported preferences for each attribute. SETTING The DCE was conducted with patients in six tertiary hospitals from four cities in Jiangsu province. PARTICIPANTS Patients aged 18 years or older with a history of diabetes or hypertension and taking medications regularly for more than 1 year were recruited (n=408). RESULTS The technology attributes regarding expected gains in health outcomes from the treatment, high likelihood of effective treatment and low incidence of serious adverse events were significant, positive predictors of choice by the study patients (p<0.01). The out-of-pocket cost was a significant, negative attribute for the entire study sample (β = -0.258, p<0.01) and for the patients with Urban-Rural Residents Basic Medical Insurance (URRBMI) (β = -0.511, p<0.01), but not for all the patients with Urban Employees Basic Medical Insurance (UEBMI) (β = -0.071, p>0.05). The severity of target disease was valued by patients with lower EQ-5D-5L index value as well as URRBMI enrollees. CONCLUSIONS Patients highly valued the health benefits and risks of new technologies, which were closely linked to their feelings of disease and perceptions of health-related quality of life. However, there existed heterogeneity in preferences between URRBMI and UEBMI patients. Further efforts should be made to reduce the gap between insurance schemes and make safe and cost-effective new technologies as a priority for health insurance reimbursement.
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Affiliation(s)
- Jinsong Geng
- Department of Medical Informatics, Nantong University Medical School, Nantong, Jiangsu, China
| | - Xiaowei Chen
- Department of Medical Informatics, Nantong University Medical School, Nantong, Jiangsu, China
- Library and Reference Department, Zhejiang University School of Medicine First Affiliated Hospital, Hangzhou, Zhejiang, China
| | - Haini Bao
- Department of Medical Informatics, Nantong University Medical School, Nantong, Jiangsu, China
| | - Danmin Qian
- Department of Medical Informatics, Nantong University Medical School, Nantong, Jiangsu, China
| | - Yuting Shao
- Department of Ophthalmology, Tongji University School of Medicine, Shanghai, China
| | - Hao Yu
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
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Salih T, Martin P, Poulton T, Oliver CM, Bassett MG, Moonesinghe SR. Distance travelled to hospital for emergency laparotomy and the effect of travel time on mortality: cohort study. BMJ Qual Saf 2020; 30:bmjqs-2019-010747. [PMID: 32576606 PMCID: PMC8070618 DOI: 10.1136/bmjqs-2019-010747] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 04/22/2020] [Accepted: 05/25/2020] [Indexed: 12/21/2022]
Abstract
OBJECTIVES To evaluate whether distance and estimated travel time to hospital for patients undergoing emergency laparotomy is associated with postoperative mortality. DESIGN National cohort study using data from the National Emergency Laparotomy Audit. SETTING 171 National Health Service hospitals in England and Wales. PARTICIPANTS 22 772 adult patients undergoing emergency surgery on the gastrointestinal tract between 2013 and 2016. MAIN OUTCOME MEASURES Mortality from any cause and in any place at 30 and 90 days after surgery. RESULTS Median on-road distance between home and hospital was 8.4 km (IQR 4.7-16.7 km) with a median estimated travel time of 16 min. Median time from hospital admission to operating theatre was 12.7 hours. Older patients live on average further from hospital and patients from areas of increased socioeconomic deprivation live on average less far away.We included estimated travel time as a continuous variable in multilevel logistic regression models adjusting for important confounders and found no evidence for an association with 30-day mortality (OR per 10 min of travel time=1.02, 95% CI 0.97 to 1.06, p=0.512) or 90-day mortality (OR 1.02, 95 % CI 0.97 to 1.06, p=0.472).The results were similar when we limited our analysis to the subgroup of 5386 patients undergoing the most urgent surgery. 30-day mortality: OR=1.02 (95% CI 0.95 to 1.10, p=0.574) and 90-day mortality: OR=1.01 (95% CI 0.94 to 1.08, p=0.858). CONCLUSIONS In the UK NHS, estimated travel time between home and hospital was not a primary determinant of short-term mortality following emergency gastrointestinal surgery.
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Affiliation(s)
- Tom Salih
- Department of Anaesthesia, University College London Hospitals NHS Foundation Trust, London, UK
- Division of Surgery and Interventional Science, Department for Targeted Intervention, Surgical Outcomes Research Centre, Centre for Perioperative Medicine, University College London, London, UK
| | - Peter Martin
- Department of Applied Heath Research, University College London, London, UK
| | - Tom Poulton
- Health Services Research Centre, National Institute for Academic Anaesthesia, London, UK
| | - Charles M Oliver
- Department of Anaesthesia, University College London Hospitals NHS Foundation Trust, London, UK
- Division of Surgery and Interventional Science, Department for Targeted Intervention, Surgical Outcomes Research Centre, Centre for Perioperative Medicine, University College London, London, UK
| | - Mike G Bassett
- Department of Anaesthesia, Manchester University NHS Foundation Trust, Manchester, UK
| | - S Ramani Moonesinghe
- Division of Surgery and Interventional Science, Department for Targeted Intervention, Surgical Outcomes Research Centre, Centre for Perioperative Medicine, University College London, London, UK
- Health Services Research Centre, National Institute for Academic Anaesthesia, London, UK
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Preferences for life expectancy discussions following diagnosis with a life-threatening illness: a discrete choice experiment. Support Care Cancer 2020; 29:417-425. [PMID: 32383072 DOI: 10.1007/s00520-020-05498-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 04/24/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE To explore in a sample of adult cancer patients: (1) the relative influence of initiation source, information format and consultation format on preferred approach to life expectancy disclosure using a discrete choice experiment (DCE); and (2) whether patient age, cancer type and perceived prognosis were associated with preferences within the three attributes. METHODS A DCE survey of adult solid tumour and haematological cancer patients. Participants chose between three hypothetical scenarios about life expectancy disclosure consisting of three attributes: initiation source (i.e. doctor versus patient-initiated discussion), information content (i.e. estimate presented as best-worst-typical length of life case scenario versus median survival time) and consultation format (i.e. two 20-min versus one 40-min consultation). Respondents selected their most preferred scenario within each question. RESULTS Three hundred and two patients completed the DCE (78% consent rate). Initiation source was the most influential predictor of patient choice. More preferred a doctor deliver life expectancy information as soon as it is available rather than waiting for the patient to ask (59% vs 41% z = - 7.396, p < 0.01). More patients preferred the two 20-min rather than the one 40-min consultation format (55% vs 45%, z = 4.284, p < 0.01). Information content did not influence choice. Age, cancer type, and patient-perceived prognosis were not associated with preferences. CONCLUSION Healthcare professionals should assess cancer patients' preferences for engaging in life expectancy discussions as soon as they have this information, and ensure patients have adequate time to consider the information they receive, seek additional information and involve others if they wish.
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