Dataset Information

Drivers of high-cost persistence in rural China: A population-based retrospective study.

ABSTRACT:

Purpose

High-cost patients account for over 70% of total health expenditures in rural China and have become a key focus of health insurers. Persistently high-cost patients constitute a substantial proportion of medical resources. Hence, exploring high-cost persistence (HCP) and what drives it is considered meaningful and necessary.

Patients and methods

A population-based retrospective study was carried out. The annual healthcare utilization data of Dangyang New Rural Cooperative Medical Scheme from 2012 to 2017 were analyzed. Patients in the top 10% of spending in a given year were considered high-cost patients. Persistence level was estimated using Markov matrices. A total of 19,405 patients categorized as high-cost patients in 2016 were divided into two groups according to whether or not they kept high-cost status in 2017. Finally, a multilevel logistic regression model was used in examining the determinants of HCP.

Results

On average, about 31.48% of high-cost patients each year still maintained high-cost status in the subsequent year from 2012 to 2017. The elderly (OR = 2.150), families with more non-labor members (OR = 2.307), families applying for subsistence allowances (OR = 1.245), and patients with blood and immune diseases (OR = 2.614) or malignant tumors (OR = 2.077) were more likely to maintain high-cost status. Hospitalization frequency was found to be a mediator.

Conclusion

About one-third of high-cost patients in a given year had persistently high cost status in the subsequent year. Health status and family support were considered the main drivers of HCP. High inpatient service utilization as a mediator was a prominent manifestation of persistently high-cost patients. The accurate identification of persistently high-cost patients is the basis for our management.

SUBMITTER: Wang C

PROVIDER: S-EPMC9763318 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Drivers of high-cost persistence in rural China: A population-based retrospective study.

Wang Chenzhou C Lu Shan S Zhang Yan Y

Frontiers in public health 20221206

<h4>Purpose</h4>High-cost patients account for over 70% of total health expenditures in rural China and have become a key focus of health insurers. Persistently high-cost patients constitute a substantial proportion of medical resources. Hence, exploring high-cost persistence (HCP) and what drives it is considered meaningful and necessary.<h4>Patients and methods</h4>A population-based retrospective study was carried out. The annual healthcare utilization data of Dangyang New Rural Cooperative M ...[more]

PMID: 36561866

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Project description:BackgroundHigh-cost (HC) patients, defined as the small percentage of the population that accounts for a high proportion of health care expenditures, are a concern worldwide. Previous studies have found that the occurrence of HC population is partially preventable by providing a greater scope of primary health care services. However, no study has examined the association between the service scope of primary care facilities and the prevalence of HC populations. Therefore, this study aimed to investigate the association between the service scope of primary care facilities (PCFs) and the prevalence of HC populations within the same communities.MethodsA multistage, stratified, clustered sampling method was used to identify the service scope of PCFs as of 2017 in rural Guizhou, China. The claims data of 299,633 patients were obtained from the local information system of the New Rural Cooperation Medical Scheme. Patients were sorted by per capita inpatient medical expenditures in descending order, and the top 1%, top 5% and top 10% of patients who had incurred the highest costs were defined as the HC population. Logistic regression models were used to assess the association between the service scope of PCFs and the prevalence of the HC population.ResultsCompared with those in the 95% of the sample deemed as the general population, those in the top 5% of the sample deemed as the HC population were more likely to be over the age of 30 (P < 0.001), to be female (P = 0.014) and to be referred to high-level hospitals (P < 0.001). After controlling for other covariates, patients who lived in the communities serviced by the PCFs with the smallest service scope were more likely to be in the top 1%, top 5% and top 10% of the HC population.ConclusionA greater PCF service scope was associated with a reduction in the prevalence of the HC population, which would mean that providing a broader PCF service scope could reduce some preventable costs, thus reducing the prevalence of the HC population. Future policy efforts should focus on expanding the service scope of primary care providers to achieve better patient outcomes.

Project description:BackgroundHigh-cost patients account for most healthcare costs and are highly heterogeneous. This study aims to classify high-cost patients into clinically homogeneous subgroups, describe healthcare utilization patterns of subgroups, and identify subgroups with relatively high preventable inpatient cost (PIC) in rural China.MethodsA population-based retrospective study was performed using claims data in Xi county, Henan province. 32 108 high-cost patients, representing the top 10% of individuals with the highest total spending, were identified. A density-based clustering algorithm combined with expert opinions were used to group high-cost patients. Healthcare utilization (including admissions, length of stay, and outpatient visits) and spending characteristics (including total spending, and the proportion of PIC, inpatient and out-of-pocket spending on total spending) were described among subgroups. PIC was calculated based on potentially preventable hospitalizations (PPHs) which were identified according to the Agency for Healthcare Research and Quality Prevention Quality Indicators algorithm.ResultsHigh-cost patients were more likely to be older (Mean=51.87, SD=22.28), male (49.03%) and from poverty-stricken families (37.67%) than non-high-cost patients, with 2.49 (SD=2.47) admissions and 3.25 (SD=4.52) outpatient visits annually. Fourteen subgroups of high-cost patients were identified: chronic disease, non-trauma diseases which need surgery, female disease, cancer, eye disease, respiratory infection/inflammation, skin disease, fracture, liver disease, vertigo syndrome and cerebral infarction, mental disease, arthritis, renal failure, and other neurological disorders. The annual admissions ranged from 1.83 (SD=1.23, fracture) to 12.21 (SD=9.26, renal failure), and the average length of stay ranged from 6.61 (SD=10.00, eye disease) to 32.11 (SD=28.78, mental disease) days among subgroups. The chronic disease subgroup showed the largest proportion of PIC on total spending (10.57%).ConclusionHigh-cost patients were classified into 14 clinically distinct subgroups which had different healthcare utilization and spending characteristics. Different targeted strategies may be needed for subgroups to reduce preventable hospitalizations. Priority should be given to high-cost patients with chronic diseases.

Project description:ObjectiveTo identify the characteristics of high-cost (HC) patients and the determinants of the annual medical expenditures of Chinese rural residents.MethodsMedical expenditure clustering was performed by Lorentz curve and Gini index. T and X2 tests were performed to identify the characteristics of the respondents, and a multilevel regression model examined the determinants of their annual medical expenditures.DesignA cluster sampling study was performed to identify those residents who availed healthcare services and to assign them to HC (top 5%), moderate-cost (top 30%) and low-cost (others) groups based on their annual medical expenditures.SettingThe annual healthcare utilisation was calculated by using data from the population-based database of the 2014 New Rural Cooperative Medical System.ParticipantsA total of 478 051 residents who availed healthcare services were recruited for the retrospective study in 2014. The annual medical expenditures of these residents were used as the research object.ResultsThe total medical expenditures of Macheng city residents for the year 2014 have a Gini index of 0.81 and around 68.01% of these expenditures can be attributed to HC patients. Female residents (51.5%) and persons aged over 60 years (34.48%) who are suffering from diseases that are difficult to diagnose have a high tendency to accumulate high medical costs. The annual medical expenditures of people living in the same village or town tend to be approximated. Age, disease category, inpatient status, healthcare utilisation and utilisation level are identified as the determinants of annual medical expenditures.ConclusionsThe medical expenditures of rural residents are clustered at a remarkably high level, and HC patients are suffering from high economic burden. Therefore, policy-makers must guide these patients in seeking appropriate healthcare services and improve their management of healthcare quality to reduce the unnecessary healthcare utilisation of these patients.Trial registration numberChiCTR-OOR-14005563.

Project description:INTRODUCTION:Routine inpatient care (RIC) for patients with cancer forms various pathways of clinical procedures. Although most individual procedures comprising the pathways have been tested via clinical trials, little is known about the collective cost and effectiveness of the pathways as a whole. This study aims at exploring RIC pathways for patients with lung cancer from rural Anhui, China, and their determinants and economic impacts. METHODS AND ANALYSIS:The study adopts a retrospective cohort design and proceeds in five steps. Step 1 defines the four main categories of study variables, including clinical procedures, direct cost and effectiveness of procedures, and factors affecting use of these procedures and their cost and effectiveness. Step 2 selects a cohort of 5000 patients with lung cancer diagnosed between 1 July 2015 and 30 June 2016 from rural Anhui by clustered random sampling. Step 3 retrieves the records of all the inpatient care episodes due to lung cancer and extracts data about RIC procedures, proximate variables (eg, Karnofsky Performance Status, Lung Function Score) of patient outcomes and related factors (eg, stage of cancer, age, gender), by two independent clinician researchers using a web-based form. Step 4 estimates the direct cost of each of the RIC procedures using micro-costing and collects data about ultimate patient outcomes (survival and progression-free survival) through a follow-up survey of patients and/or their close relatives. Step 5 analyses the data collected and explores pathways of RIC procedures and their relations with patient outcomes, costs, cost:effect ratios, and a whole range of clinical and sociodemographic factors using multivariate regression and path models. ETHICS AND DISSEMINATION:The study protocol has been approved by an authorised ethics committee of Anhui Medical University (reference number: 20170312). Findings from the study will be disseminated through conventional academic routes such as peer-reviewed publications and presentations at regional, national and international conferences. TRIAL REGISTRATION NUMBER:ISRCTN25595562.

Dataset Information

Drivers of high-cost persistence in rural China: A population-based retrospective study.

Purpose

Patients and methods

Results

Conclusion

Publications

Drivers of high-cost persistence in rural China: A population-based retrospective study.

Similar Datasets

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