Trajectories of Hospitalization Cost Among Patients of End-Stage Lung Cancer: A Retrospective Study in China

Is there a change in the appropriateness of admission after patients were admitted? Evidence from four county hospitals in rural China

Objective

This study aims to investigate the changes in admission appropriateness after patients were admitted and provide a reference for physicians to make admission decisions and for the supervision of medical service behavior by the medical insurance regulatory department.

Methods

Medical records of 4,343 inpatients were obtained based on the largest and most capable public comprehensive hospital in four counties in central and western China for this retrospective study. The binary logistic regression model was employed to examine the determinants of changes in admission appropriateness.

Results

Nearly two-in-thirds (65.39%) of the 3,401 inappropriate admissions changed to appropriate at discharge. Age, type of medical insurance, medical service type, severity of the patient upon admission, and disease category were found to be associated with the changes in the appropriateness of admission. Older patients (OR = 3.658, 95% CI [2.462-5.435]; P < 0.001) were more likely to go from "inappropriate" to "appropriate" than younger counterparts. Compared with circulatory diseases, the case evaluated as "appropriate" at discharge was more frequent in the urinary diseases (OR = 1.709, 95% CI [1.019-2.865]; P = 0.042) and genital diseases (OR = 2.998, 95% CI [1.737-5.174]; P < 0.001), whereas the opposite finding was observed for patients with respiratory diseases (OR = 0.347, 95% CI [0.268-0.451]; P < 0.001) and skeletal and muscular diseases (OR = 0.556, 95% CI [0.355-0.873]; P = 0.011).

Conclusions

Many disease characteristics gradually emerged after the patient was admitted, thus the appropriateness of admission changed. Physicians and regulators need to take a dynamic view of disease progression and inappropriate admission. Aside from referring to the appropriateness evaluation protocol (AEP), they both should pay attention to individual and disease characteristics to make a comprehensive judgment, and strict control and attention should be paid to the admission of respiratory, skeletal, and muscular diseases.

Determinants of place of death for end-stage cancer patients: evidence from China

OBJECTIVE

To determine factors influence place of death (POD) for end-stage cancer patients and investigate how the healthcare utilization mediates on the effect of socioeconomic status (SES) on POD.

DESIGN

A population-based, retrospective study from July 2015 to June 2017.

SETTING

Yichang, China.

PARTICIPANTS

894 end-stage cancer patients.

MAIN OUTCOME MEASURE

POD.

RESULTS

Patients of hospital death experience more inpatient hospitalization services (IHS) and emergency department visits. Patients enrolled in the New Rural Cooperative Medical Scheme (OR = 7.60, P < 0.001) and Urban Employee Basic Medical Insurance (OR = 28.0, P < 0.001) have higher rates of hospital death than those in the Urban Resident-based Basic Medical Insurance. Living with spouse (OR = 1.72, P = 0.019) and receiving higher education (OR = 1.92, P = 0.004), increase the likelihood of hospital death by 72% and 92%, respectively. The probability of hospital death will increase by 14% and decrease by 4% per IHS and outpatient services occur, respectively. Outpatient services (Z = -2.28, P < 0.001), and IHS (Z = 2.17, P < 0.001) mediate 1.81% and 1.89%, respectively, of the effect of health insurance on POD. The overall effect of the mediators is non-statistically significant (Z = 0.09, P = 0.825).

CONCLUSION

POD is mainly driven by SES. The relationship between health insurance and POD is partly mediated by outpatient services and IHS, respectively. The results corroborated that hospital and home services should be coherently bridged. Furthermore, benefit packages for end-stage cancer patients could be redesigned.

Disparities in end-of-life care, expenditures, and place of death by health insurance among cancer patients in China: a population-based, retrospective study

Background

Disparities in the utilization, expenditures, and quality of care by insurance types have been well documented. Such comparisons have yet to be investigated in end-of-life (EOL) settings in China, where public insurance covers over 95% of the Chinese population. This study examined the associations between health insurance and EOL care in the last six months of life: outpatient visits, emergency department (ED) visits, inpatient services, intensive care unit (ICU) admissions, expenditures, and place of death among the cancer patients.

Methods

A total of 398 patients diagnosed with cancer who survived more than 6 months after diagnosis and died from July 2015 to June 2017 in urban Yichang, China, were included. Descriptive analysis and multivariate regression models were used to investigate the bivariate and independent associations, respectively, between health insurance with EOL healthcare utilization, expenditures and place of death.

Results

Urban Employee Basic Medical Insurance (UEBMI) beneficiaries visited EDs more frequently than Urban Resident-based Basic Medical Insurance (URBMI) and New Rural Cooperative Medical Scheme (NRCMS) beneficiaries (marginal effects [95% Confidence Interval]: 2.15 [1.81–2.48] and 1.92 [1.59–2.26], respectively). NRCMS and UEBMI beneficiaries had more hospitalizations than URBMI beneficiaries (1.01 [0.38–1.64] and 0.71 [0.20–1.22], respectively). Compared to URBMI beneficiaries, NRCMS beneficiaries and UEBMI beneficiaries had ¥15,722 and ¥43,241 higher expenditures. Similarly, UEBMI beneficiaries were most likely to die in hospitals, followed by NRCMS (UEBMI vs. NRCMS: 0.23 [0.11–0.36]) and URBMI (UEBMI vs. URBMI: 0.67 [0.57–0.78]) beneficiaries.

Conclusions

The disproportionately lower utilization of EOL care among NRCMS and URBMI beneficiaries, compared to UEBMI beneficiaries, raised concerns regarding quality of EOL care and financial burdens of NRCMS and URBMI beneficiaries. Purposive hospice care intervention might be warranted to address EOL care for these beneficiaries in China.

Poverty and health-related quality of life: a cross-sectional study in rural China

BACKGROUND

The association between poverty and health has been widely assessed. However, whether the association between poverty and health-related quality of life (HRQOL) holds among different groups is unknown. This study aimed to 1) assess the association between poverty and HRQOL among rural residents in China and 2) examine whether the association holds among different populations, thereby supporting policy-making and implementation.

METHODS

A multistage, stratified, random household survey was conducted with self-administered questionnaires. Matched samples were generated by the censored exact matching method to reduce selection bias between the poverty and comparison groups. We applied Tobit and ordinal logit regression models to evaluate the association between poverty and HRQOL measured by the EQ-5D-3 L among different groups.

RESULTS

The health utility score of the poverty group was 6.1% lower than that of comparison group (95% CI = - 0.085, - 0.037), with anxiety/depression being most common (95% CI = 1.220, 1.791). The association between poverty and HRQOL was significantly stronger among residents from central China, males, people who were middle-aged, elderly, highly educated, married, or widowed, those living far from healthcare facilities, and those without chronic disease. Male and highly educated subjects reported worse mobility, self-care, usual activities, pain/discomfort and anxiety/depression dimensions than the other respondents. Middle-aged (95% CI = 1.692, 2.851) and married respondents (95% CI = 1.692, 2.509) and respondents with chronic diseases (95% CI = 1.770, 2.849) were most affected in the anxiety/depression.

CONCLUSIONS

The HRQOL of individuals living in poverty is lower than that of the general population, and the mental health dimension is most affected by poverty among respondents who are middle-aged or married and respondents with chronic diseases. The identification of populations that are more affected by poverty is critical to improve their HRQOL. Various associations have indicated the need for integrated policies and specific decision-making.

Trajectories of Outpatient Service Utilisation of Hypertensive Patients in Tertiary Hospitals in China

This study aims to identify the characteristics and trajectories of outpatient service utilisation for hypertensive patients in tertiary hospitals. This study also attempts to investigate the determinants of the trajectories of outpatient service utilisation. A total of 9822 patients with hypertension and hypertension-related medical utilisation were recruited in Yichang, China from January 1 to December 31 in 2016. The latent trajectories of outpatient service utilisation were identified through latent class growth analysis. Differences in the demographic characteristics and medical utilisation among patients in different trajectories were tested by one-way ANOVA and chi-square analysis. The predictors of the trajectory groups of outpatient service utilisation were identified through multinomial logistic regression. Four trajectory groups were determined as stable-low (34.7%), low-fluctuating (13.4%), high-fluctuating (22.5%), and stable-high (29.4%). Significant differences were observed in all demographic characteristics (p < 0.001) and medical service utilisation variables (p < 0.001) among the four trajectories except for inpatient cost (p = 0.072). Determinants for outpatient service utilisation patterns include the place of residence, education level, outpatient visit times, inpatient service utilisation, and outpatient cost. Overall, hypertensive patients visiting outpatient units in the tertiary hospital were middle-aged, elderly, and well-educated, and they received poor follow-up services. The four identified latent trajectories have different characteristics and medical utilisation patterns. Trajectory group-based measurements are necessary for hypertension management and economic burden reduction.

End-of-life cost and its determinants for cancer patients in urban China: a population-based retrospective study

OBJECTIVE

This study aimed to define the end-of-life (EOL) healthcare utilisation and its cost and determinants for cancer patients and to proactively inform related strategies in mainland China.

DESIGN

A population-based retrospective study.

SETTING AND PARTICIPANTS

Data from 894 cancer patients were collected in urban Yichang, China from 01 July 2015 to 30 June 2017.

OUTCOME MEASURES

Emergency department (ED) visits, outpatient and inpatient hospitalisation services, intensive care unit (ICU) admission and total costs were used as the main outcomes.

RESULTS

In this study, 66.8% of the 894 patients were male, and the average age was 60.4 years. Among these patients, 37.6% died at home, and patients had an average of 4.86 outpatient services, 2.23 inpatient hospitalisation services and 1.44 ED visits. Additionally, 5.9% of these patients visited the ICU at least once. During the EOL periods, the costs in the last 6 months, 3 months, 1 month and 1 week were US$18 234, US$13 043, US$6349 and US$2085, respectively. The cost increased dramatically as death approached. The estimation results of generalised linear regression models showed that aggressive care substantially affected expenditure. Patients with Urban Employee Basic Medical Insurance spent more than those with Urban Resident-based Basic Medical Insurance or the New Rural Cooperative Medical Scheme. The place of death and the survival time are also risk factors for increased EOL cost.

CONCLUSION

The findings suggested that the EOL cost for cancer patients is associated with aggressive care, insurance type and survival time. Timing palliative care is urgently needed to address ineffective and irrational healthcare utilisation and to reduce costs.

ETHICS AND DISSEMINATION

This study was approved by the Ethics Committee of the Tongji Medical College, Huazhong University of Science and Technology (IORG No.: IORG0003571). All the data used in this study were de-identified.

Patient Preferences For Chemotherapy In The Treatment Of Non-Small Cell Lung Cancer: A Multicenter Discrete Choice Experiment (DCE) Study In China

OBJECTIVE

The study aims to quantify patients' risk-benefit preferences for chemotherapy in the treatment of non-small cell lung cancer (NSCLC), and to elicit their willingness to pay (WTP) for treatment outcomes.

METHODS

A face-to-face discrete choice experiment (DCE) was conducted on NSCLC patients in four tertiary hospitals each from Beijing, Shanghai, Guangzhou and Chengdu in China. Patients were invited to complete choice questions that constructed by seven attributes: progression-free survival (PFS), disease control rate (DCR), rash, nausea and vomiting, tiredness, mode of administration and out-of-pocket costs. A mixed logit model was used to evaluate the choice model. Estimates of relative preferences and marginal willingness to pay for each attribute were then explored.

RESULTS

A total of 361 patients completed the survey. Improvements in PFS (10, 95% CI: 8.4-11.6) were the most important attribute for patients, followed by increase in DCR (4.6, 95% CI: 3.4-5.8). Tiredness (3.9, 95% CI: 2.9-5.1) was judged to be the most important risk. While remaining attributes were ranked in decreasing order of importance: nausea and vomiting (1.9, 95% CI: 0.9-3.0), mode of administration (0.8, 95% CI: 0.2-1.4) and rash (0.5, 95% CI: -0.6-1.5). There was little variation in preferences among patients with different sociodemographic characteristics. Patients were monthly willing to pay $2304 (95% CI, $1916-$2754) that guaranteed 11 months of PFS, followed by $1465 (95% CI, $1163-$1767) per month to improve their disease control rate by 90%.

CONCLUSION

The results suggested that efficacy was the most important attribute for patients. Side effects, mode of administration and treatment cost significantly influenced patient preferences. Patient engagement in prioritizing their treatment preferences should be emphasized during the clinical decision-making process and regimen implementation.