Subjective and objective quality and choice of hospital: Evidence from maternal care services in Germany

The geography of healthcare: Mapping patient flow and medical resource allocation in China

The misallocation of medical resources leads to interregional patient flow in search of better healthcare. Using out-of-pocket medical expenditure data and a delineating method, this paper identifies spatial clusters of medical services in China based on patient flow across cities. Our findings indicate that healthcare resources are more concentrated in northern China, while southern China is divided into several large healthcare clusters at the same threshold. The provincial capital and economically significant cities are more likely to serve as medical cluster centers. We further apply the gravity model to examine the effects of healthcare disparity on cross-city medical expenditure. The results reveal that geographic disparities in high-quality medical resources encourage remote healthcare-seeking behavior, and the shorter the distance between locations, the higher the level of medical consumption. Patients are inclined to seek medical services within their own province and within specific medical clusters identified through delineation methods. This effect is more pronounced among patients from non-central cities. This study highlights healthcare inequality by examining cross-regional medical expenditure, providing valuable insights for future healthcare policy.

Too many cooks could spoil the broth: choice overload and the provision of ambulatory health care

Patient empowerment calls for an intensified participation of (informed) patients with more treatment opportunities to choose from. A growing body of literature argues that confronting consumers with too many opportunities can lead to a choice overload (CO) resulting in uncertainty that the selected alternative dominates all other options in the choice set. We examine whether there is a CO effect in the demand for ambulatory health care in Germany by analyzing the association of medical specialists supply on so-called patients' health uncertainty. Further, we investigate if the CO effect is smaller in areas with a higher density of general practitioners (GPs). We find that patients who live in an area with a large supply of specialists are subject to a CO effect that is expressed by an increased health uncertainty. The coordinating role of GPs seems to be effective to reduce the CO effect, while preserving free consumer choice.

Hospital competition when patients learn through experience

We study competing hospitals' incentives for quality provision in a dynamic setting where healthcare is an experience good. In our model, the utility a patient derives from choosing a particular provider depends on a subjective component specific to the match between the patient and the provider, which can only be learned through experience. We find that the experience-good nature of healthcare can either reinforce or dampen the demand responsiveness to quality and the hospitals' incentives for quality provision, depending on two key factors: the shape of the distribution of match-specific utilities and the cost relationship between quality provision and treatment volume. We establish conditions under which ignoring the experience dimension of healthcare leads to inaccurate assessments of the competitiveness of hospital markets.

Social Medical Insurances, Choices of Medical Institutions and the 'Siphon Effect' in the Health Service Market: Evidence from 2021 Yangtze River Delta Region of China

Purpose

The siphon effect in the health service market is notably pronounced in many countries. How to measure and identify the determinants contributing to the siphon effect presents a substantial challenge. This study aimed to analyse the effect of two different social medical insurances, the Basic Medical Insurance System for Urban Employees (BMISUE), and the Basic Medical Insurance System for Urban and Rural Residents (BMISURR), on the siphon effect in the health services market.

Methods

The data used in this study were from the 2021 Health Life Satisfaction Survey of Yangtze River Delta (HLSSYRD) conducted by Shanghai Jiao Tong University. The logistic model was used to evaluate the association between social medical insurances and individual choices of medical institutions, and the Propensity Score Matching method (PSM) was used to check the robustness of basic results.

Results

Residents covered by BMISUE were more likely to choose a general hospital when they first sought medical treatment (OR = 5.377, 95% CI: 4.887, 5.915) relative to those insured by BMISURR. Further analysis showed that BMISUE would accelerate the siphon effect of general hospitals, people insured by BMISUE were still more likely to choose general hospitals despite being close to primary hospitals compared to those insured by BMISURR (OR = 3.240, 95% CI: 2.945, 3.565). Heterogeneity analysis indicated BMISUE had a greater impact on residents aged 15-59 years and those with high income compared to older people and individuals with low income.

Conclusion

Different social medical insurances can substantially affect residents' first choice of medical institutions. BMISUE with higher benefits level could exacerbate the siphon effect in the health service market. More equitable medical security system should be strengthened to bridge the benefits gap between BMISUE and BMISURR.

Choosing a maternity hospital: a matter of travel distance or quality of care?

BACKGROUND

The choice of a hospital should be based on individual need and accessibility. For maternity hospitals, this includes known or expected risk factors, the geographic accessibility and level of care provided by the hospital. This study aims to identify factors influencing hospital choice with the aim to analyze if and how many deliveries are conducted in a risk-appropriate and accessible setting in Bavaria, Germany.

METHODS

This is a cross-sectional secondary data analysis based on all first births in Bavaria (2015-18) provided by the Bavarian Quality Assurance Institute for Medical Care. Information on the mother and on the hospital were included. The Bavarian Index of Multiple Deprivation 2010 was used to account for area-level socioeconomic differences. Multiple logistic regression models were used to estimate the strength of association of the predicting factors and to adjust for confounding.

RESULTS

We included 195,087 births. Distances to perinatal centers were longer than to other hospitals (16 km vs. 12 km). 10% of women with documented risk pregnancies did not deliver in a perinatal center. Regressions showed that higher age (OR 1.03; 1.02-1.03 95%-CI) and risk pregnancy (OR 1.44; 1.41-1.47 95%-CI) were associated with choosing a perinatal center. The distances travelled show high regional variation with a strong urban-rural divide.

CONCLUSION

In a health system with free choice of hospitals, many women chose a hospital close to home and/or according to their risks. However, this is not the case for 10% of mothers, a group that would benefit from more coordinated care.

What is a star worth to Medicare beneficiaries? A discrete choice experiment of hospital quality ratings

Hospital quality ratings are widely available to help Medicare beneficiaries make an informed choice about where to receive care. However, how beneficiaries' trade-off between different quality domains (clinical outcomes, patient experience, safety, efficiency) and other considerations (out-of-pocket cost, travel distance) is not well understood. We sought to study how beneficiaries make trade-offs when choosing a hypothetical hospital. We administered an online survey that included a discrete choice experiment to a nationally representative sample of 1025 Medicare beneficiaries. On average, beneficiaries were willing to pay $1698 more for a hospital with a 1-star higher rating on clinical outcomes. This was over twice the value of the patient experience ($691) and safety ($615) domains and nearly 8 times the value of the efficiency domain ($218). We also found that the value of a 1-star improvement depends not only on the quality domain but also the baseline level of performance of the hospital. Generally, it is more valuable for low-performing hospitals to achieve average performance than for average hospitals to achieve excellence.

Driving time drives the hospital choice: choice models for pelvic organ prolapse surgery in Italy

OBJECTIVE

The Italian healthcare jurisdiction promotes patient mobility, which is a major determinant of practice variation, thus being related to the equity of access to health services. We aimed to explore how travel times, waiting times, and other efficiency- and quality-related hospital attributes influenced the hospital choice of women needing pelvic organ prolapse (POP) surgery in Tuscany, Italy.

METHODS

We obtained the study population from Hospital Discharge Records. We duplicated individual observations (n = 2533) for the number of Tuscan hospitals that provided more than 30 POP interventions from 2017 to 2019 (n = 22) and merged them with the hospitals' list. We generated the dichotomous variable "hospital choice" assuming the value one when hospitals where patients underwent surgery coincided with one of the 22 hospitals. We performed mixed logit models to explore between-hospital patient choice, gradually adding the women's features as interactions.

RESULTS

Patient choice was influenced by travel more than waiting times. A general preference for hospitals delivering higher volumes of interventions emerged. Interaction analyses showed that poorly educated women were less likely to choose distant hospitals and hospitals providing greater volumes of interventions compared to their counterpart. Women with multiple comorbidities more frequently chose hospitals with shorter average length of stay.

CONCLUSION

Travel times were the main determinants of hospital choice. Other quality- and efficiency-related hospital attributes influenced hospital choice as well. However, the effect depended on the socioeconomic and clinical background of women. Managers and policymakers should consider these findings to understand how women behave in choosing providers and thus mitigate equity gaps.

"The reputation premium": does hospital ranking improvement lead to a higher healthcare spending?

Global health systems have often disclosed hospital quality and performance information via hospital ranking or rating programs over the last 20 years. This study aims to examine the relationship between hospital ranking and healthcare spending. Using the Basic Medical Insurance claims data from a big city in central China and the hospital ranking data from the Fudan Chinese Hospital League Table from 2016 to 2018, this study exploits the variation of hospital reputable ranking across hospitals and periods to employ the difference-in-differences (DiD) design. To alleviate the self-selection bias emerging from inpatients' selection of hospitals and the extrapolation bias emerging from the potential mis-specification of our linear model, we combine the DiD design with the 3-to-1 optimal Mahalanobis metric matching method. This study finds that ceteris paribus one hospital ascending from the Regional Famous Hospital Group to the National Famous Hospital Group significantly increases inpatients' total healthcare costs, reimbursement costs, and out-of-pocket costs by 5.9%, 6.2%, and 4.0%, respectively. Mechanism analysis reveals that it should be attributed more to physician moral hazard than patient willingness-to-pay. Leads and lags (event study) analysis validates our DiD identification framework and shows that the impact materializes slowly but significantly. In the robustness check, we transfer the outcome variables from the log value to the level value and control five digits of ICD-10 for the disease fixed-effects. The results are highly robust.

Robotic-assisted surgery for prostatectomy - does the diffusion of robotic systems contribute to treatment centralization and influence patients' hospital choice?

BACKGROUND

Between 2008 and 2018, the share of robotic-assisted surgeries (RAS) for radical prostatectomies (RPEs) has increased from 3 to 46% in Germany. Firstly, we investigate if this diffusion of RAS has contributed to RPE treatment centralization. Secondly, we analyze if a hospital's use of an RAS system influenced patients' hospital choice.

METHODS

To analyze RPE treatment centralization, we use (bi-) annual hospital data from 2006 to 2018 for all German hospitals in a panel-data fixed effect model. For investigating RAS systems' influence on patients' hospital choice, we use patient level data of 4614 RPE patients treated in 2015. Employing a random utility choice model, we estimate the influence of RAS as well as specialization and quality on patients' marginal utilities and their according willingness to travel.

RESULTS

Despite a slight decrease in RPEs between 2006 and 2018, hospitals that invested in an RAS system could increase their case volumes significantly (+ 82% compared to hospitals that did not invest) contributing to treatment centralization. Moreover, patients are willing to travel longer for hospitals offering RAS (+ 22% than average travel time) and for specialization (+ 13% for certified prostate cancer treatment centers, + 9% for higher procedure volume). The influence of outcome quality and service quality on patients' hospital choice is insignificant or negligible.

CONCLUSIONS

In conclusion, centralization is partly driven by (very) high-volume hospitals' investment in RAS systems and patient preferences. While outcome quality might improve due to centralization and according specialization, evidence for a direct positive influence of RAS on RPE outcomes still is ambiguous. Patients have been voting with their feet, but research yet has to catch up.

Ways to Improve Hospital Quality - A Health System Perspective Comment on "Hospitals Bending the Cost Curve With Increased Quality: A Scoping Review Into Integrated Hospital Strategies"

Wackers and colleagues' scoping review provides an informative and well-structured overview of hospital-based case studies focusing on integrated hospital strategies that seek to improve quality, while reducing or containing costs. Wackers et al take a hospital level perspective and evaluate facilitators and barriers to the successful implementation of those hospital strategies. I complement the hospital level perspective of Wackers et al with an analysis from a health system perspective. Regulations at the superordinate system level might influence decisions at the hospital level that are relevant for costs and quality of care. In this commentary, I discuss how interventions at the system level might affect hospital quality. The results suggest that especially competition between hospitals, pay for performance (PfP) initiatives in combination with publication of quality information, but also greater experience of hospital staff (as proxied by the volume outcome relationship) may provide impulses for improving quality of care.

Can competition improve hospital quality of care? A difference-in-differences approach to evaluate the effect of increasing quality transparency on hospital quality

Public reporting on the quality of care is intended to guide patients to the provider with the highest quality and to stimulate a fair competition on quality. We apply a difference-in-differences design to test whether hospital quality has improved more in markets that are more competitive after the first public release of performance data in Germany in 2008. Panel data from 947 hospitals from 2006 to 2010 are used. Due to the high complexity of the treatment of stroke patients, we approximate general hospital quality by the 30-day risk-adjusted mortality rate for stroke treatment. Market structure is measured (comparatively) by the Herfindahl-Hirschman index (HHI) and by the number of hospitals in the relevant market. Predicted market shares based on exogenous variables only are used to compute the HHI to allow a causal interpretation of the reform effect. A homogenous positive effect of competition on quality of care is found. This effect is mainly driven by the response of non-profit hospitals that have a narrow range of services and private for-profit hospitals with a medium range of services. The results highlight the relevance of outcome transparency to enhance hospital quality competition.

Consumer choice and public-private providers: The role of perceived prices

Governments often encourage health service providers to improve quality of care and reduce prices through competition. The efficacy of competition hinges on the assumption that consumers demand high quality care at low prices for any given health condition. In this paper, we examine this assumption by investigating the role of perceived price and quality on consumer choice for four different health conditions across public and private providers. We use a nationally representative survey in Malaysia to elicit respondents' perception on prices and quality, and their preferred choice of provider. We estimate a mixed logit model and show that consumers value different dimensions of quality depending on the health condition. Furthermore, increasing perceived prices for private providers reduces demand for minor, more frequent health conditions such as flu fever or cough, but increases demand for more complex, severe conditions such as coronary artery bypass graft. These findings provide empirical support for price regulation which differentiates the severity of underlying health conditions.

Influence of Supervisors’ Fairness on Work Climate, Job Satisfaction, Task Performance, and Helping Behavior of Health Workers During COVID-19 Outbreak

The need for supervisors to exhibit fairness was a key motivating tool for effective health service delivery during the initial stages of the COVID-19 outbreak. Nonetheless, the number of deaths and hospitalization was alarming health workers were actively working throughout the time. This study explores the role of supervisors’ fairness in creating a work climate and job satisfaction that promote workers’ task performance and helping behaviors. The researchers adopted a quantitative method with a questionnaire used for data collection. SPSS and AMOS were used for data analysis, and statistical models of correlation and hierarchical regression were used to examine relationships among the variables. The study established that supervisors’ fairness has a positive effect on work climate, job satisfaction, task performance, and helping behavior of health workers. Work climate has positive effects of task performance and helping behaviors, whereas job satisfaction also has positive effects on employees’ task performance and helping behavior. The researchers recommended the need for supervisors to exhibit fairness to workers at all times and create room for the workers to appeal their decision to avoid the feeling of supervisors’ biasness.

Does Internet Use Affect Medical Decisions among Older Adults in China? Evidence from CHARLS

Background: The rapid growth of the elderly population poses a huge challenge for people to access medical services. The key to get rid of the dilemma is for patients to go firstly to primary medical institutions. Existing studies have identified numerous factors that can affect patients’ health institution choice. However, we currently know little about the role of Internet use in the patients’ medical decisions. The objective of this study is to explore health-seeking behavior and institution choice under the background of the Internet era from the perspective of older adults, and to analyze whether the Internet could guide patients to the appropriate medical institution so as to accomplish hierarchical treatment. Methods: The dataset comprises 9416 people aged 45 or above from the China Health and Retirement Longitudinal Survey (CHARLS), which, through multistage cluster sampling, was conducted in 2011, 2013, and 2015. Logistic regression, PSM, and FE model are used to estimate the influence of Internet use on the health care decision-making behavior. Results: Internet use has a significant positive impact on the self-treatment of common diseases (β = 0.05, p < 0.05). In terms of medical institution choices, those who use Internet are more inclined to choose top-level hospitals than community health service institutions to treat common diseases (β = 0.06, p < 0.01). Conclusions: The Internet has lowered the obstacles to learning about common ailments, resulting in a substitution impact of self-treatment for hospital care. However, Internet use may aggravate older adults’ perception of the risk of disease, which exacerbates the tendency of going to higher-level medical institutions for medical treatment. The finding of the study is useful for further rational planning and utilization of the Internet in order to guide patients to appropriate medical institution, which helps to improve the efficiency of the overall medical and health services.

Simply the best? The impact of quality on choice of primary healthcare provider in Sweden

OBJECTIVE

One of the more important objectives with the patient choice reform, introducing non-price competition in Swedish primary healthcare, was to improve performance and quality of care. However, in order for choice to lead to quality improvements, citizens need to consider quality aspects in their choices of provider. We hypothesize that quality of care influences choice of provider and the objective of this study is to investigate if citizens are willing to make a trade-off between distance to chosen provider and quality of care.

METHODS

We use conditional logit models to analyse if quality and other provider attributes influence choice of provider. The study population includes all citizens of Region Stockholm with at least one primary healthcare contact (N ~1.4 million).

RESULTS

The results show that distance is the most important factor in choosing a primary healthcare provider but that there seems to be a willingness to make a trade-off between distance and quality measures. However, other provider attributes, such as the Care Need Index of the registered population, seem to influence choice to a greater extent than quality.

CONCLUSION

The results point in the same direction as the arguments behind the patient choice reform. However, the effects are marginal. To enhance quality competition, policy makers should consider making quality information at the provider level more accessible.

The impact of quality on hospital choice. Which information affects patients' behavior for colorectal resection or knee replacement?

Quality competition among hospitals, induced by patients freely choosing their hospital in a price regulated market, can only be realized if quality differences between hospitals are transparent, understandable, and thus influence patients' hospital choice. We use data from ~145,000 German patients and ~ 900 hospitals for colorectal resections and knee replacements to investigate whether patients value quality and specialization when choosing their hospital. Using a random utility choice model, we estimate patients' marginal utilities, willingness to travel and change in hospital demand for quality improvements. Patients respond to service quality and specialization and thus, quality competition seems to be present. Colorectal resection patients are willing to travel longer for more specialized hospitals (+9% for procedure volume, +9% for certification). Knee replacement patients travel longer for hospitals with better service quality (+6%) and higher procedure volume (+12%). However, clinical quality indicators, often difficult to access and interpret, barely play a role in patients' hospital choice. Furthermore, we find that competition on quality for colorectal resection is rather local, whereas for knee replacement we observe regional competition patterns.

Is it worth outsourcing essential public health services in China?-Evidence from Beilin District of Xi'an

BACKGROUND

Essential public health services (EPHS) is general welfare public health interventions led by the Chinese government and provided by the primary medical institutions to all residents. In Beilin District, Xi'an, EPHS producers can be divided into outsourced institutions and public institutions.

OBJECTIVE

Can outsourcing EPHS reduce costs and improve efficiency and quality? There is still no definite answer to this question. This paper compares the performance of outsourced institutions and public institutions in terms of efficiency and quality, explains the reasons for this phenomenon.

METHODS

This paper uses a theoretical and two-stage DEA model Based on a "triple subject" research framework.

RESULTS

The results show that the difference between public institutions and outsourced institutions is mainly reflected in service quality. When the quality is not measured, outsourced institutions' production efficiency is higher than that of public institutions. When there are quality measurements, the production efficiency of outsourced institutions is lower than that of public institutions.

CONCLUSIONS

Outsourced institutions perform worse than public institutions. The reason is that a bilateral monopolistic market structure has formed between local governments and outsourced institutions. This situation makes it difficult for the government to replace poor quality outsourced institutions under the constraints of a limited budget.

Impact of the Internet on Medical Decisions of Chinese Adults: Longitudinal Data Analysis

BACKGROUND

The internet has caused the explosive growth of medical information and has greatly improved the availability of medical knowledge. This makes the internet one of the main ways for residents to obtain medical information and knowledge before seeking medical treatment. However, little has been researched on how the internet affects medical decisions.

OBJECTIVE

The purpose of this study was to explore the associations between internet behaviors and medical decisions among Chinese adults aged 18 or over, including whether to go to the hospital and which level of medical institution to choose.

METHODS

With the adult residents (≥18 years old) in 12 regions including urban and rural areas taken as the research objects, the differences in medical choices of adults with various characteristics were analyzed, and generalized linear mixed models were adopted to analyze the longitudinal data of the China Health Nutrition Survey from 2006 to 2015.

RESULTS

Adult groups with different ages, genders, education levels, regions, places of residence, severities of illness and injury, years of suffering from hypertension, and history of chronic diseases showed diverse medical decisions, and the differences were statistically significant (P<.05). After controlling for these potential confounding factors and taking self-care as the reference, the probability of Chinese adults who participated in online browsing activities selecting hospital care was 0.82 (95% CI 0.69-0.98; P=.03) times that of residents who did not participate in online browsing activities. In terms of medical institution choices, adults who participated in online browsing activities were 1.86 (95% CI 1.35-2.58; P<.001) times more likely to opt for municipal medical treatment than primary care. However, the effect of online browsing on the selection probability of county-level hospitals was not significant compared with primary hospitals (P=.59). Robust analysis verified that accessing the internet had a similar effect on Chinese adults' medical decisions.

CONCLUSIONS

Chinese adults who use the internet are a little less likely to go to the hospital than self-care. The internet has broken down the barriers to obtain knowledge of common diseases and thus has a slight substitution effect of self-care on hospital care. Internet use may increase the probability of adults going to municipal hospitals. The rising tendency of visiting high-level medical institutions may be consequently exacerbated due to knowledge monopoly of severe and complicated diseases that is difficult to eliminate, and the increase in inconsistent and incomplete medical information online will blur the residents' cognitive boundary of common diseases and severe diseases. Exploring the substantive impact of the internet on medical decision making is of great significance for further rational planning and utilization of the internet, in order to guide patients to appropriate medical institution.

Determinants of nursing home choice: Does reported quality matter?

Quality report cards addressing information asymmetry in the health care market have become a popular strategy used by policymakers to improve the quality of care for older people. Using individual level data from the largest German sickness fund merged with institutional level data, we examine the relationship between reported nursing home quality, as measured by recently introduced report cards, nursing home prices, nursing home's location, and the individual choice of nursing homes. Report cards were stepwise introduced as of 2009, and we use a sample of 2010 that includes both homes that had been evaluated at that time and that had not yet been. Thus, we can distinguish between institutions with above and below average ratings as well as nonrated nursing homes. We find that the probability of choosing a nursing home decreases in distance and price. However, we find no economically significant effect of reported quality on individuals' choice of nursing homes.