Why do patients bypass the nearest hospital? An empirical analysis for orthopaedic care and neurosurgery in the Netherlands

Exploratory analysis of factors influencing hospital preferences among the Lebanese population: a cross-sectional study

OBJECTIVES

The primary aim of this research is to uncover the underlying factors that shape hospital selection criteria among individuals in Lebanon.

DESIGN

Cross-sectional study.

SETTING

A survey was circulated across social media platforms and messaging applications in Lebanon from February to May 2023. This questionnaire aimed to gauge participants' opinions on the importance of various factors in their hospital selection process.

PARTICIPANTS

A total of 746 participants filled out the survey. We targeted Lebanese adults who were not hospitalised at the time of survey submission.

MAIN OUTCOME MEASURES

We performed an exploratory factor analysis to examine the underlying structure of our 70-question survey. Reliability analysis was conducted using Cronbach's alpha and McDonald's omega. Factor scores were derived by aggregating raw scores and computing the mean.

RESULTS

The survey results identified eight key factors that accounted for 58.02% of the total variance, with excellent sampling adequacy (Kaiser-Meyer-Olkin=0.921, Bartlett's p<0.001). These factors exhibited good internal consistency, as indicated by Cronbach's alpha values for each factor. Ranked by importance for hospital selection, the factors are: staff qualities (α=0.773), administrative services (α=0.801), reputation (α=0.773), ease of access (α=0.704), room attributes (α=0.796), architectural and physical surroundings (α=0.828), luxury amenities (α=0.849) and affiliation and ownership (α=0.661).

CONCLUSION

This paper highlights the hospital characteristics that people may value before selecting a hospital. This insight provides an opportunity for hospital managers to refine their services, ensuring better resonance with people's anticipations. Beyond this, it sheds light on areas where hospitals could strategically invest to elevate their competitive edge in the healthcare market.

Freedom of choice for specialized consultation in Portugal: An observational analysis of response to hospital quality

BACKGROUND

Portugal introduced freedom of choice for initial specialist consultations in 2016 to boost quality via competition. However, for tangible benefits, specialized care demand must be quality-elastic. This research probes the relation between choosing hospital out the residence area and their quality traits.

METHODS

We used data for all primary consultation requests from primary care centres to hospitals from 1/1/2017 to 31/12/2018 (n = 3,346,335). We modelled the choice of a hospital as a function of its quality characteristics, adjusting for area-based socioeconomic variables using logistic regressions.

RESULTS

Results indicate that patients and their general practitioners consider quality indicators when choosing a hospital. Higher mortality, longer waiting times and higher readmission rates at the hospital of origin were positively associated with the patient's choice. Freedom of choice is less used when the distance to the hospital of origin increases. Similar patterns were observed for larger hospitals and those with academic status.

DISCUSSION

This study underscores the relevance of quality considerations in hospital selection by both patients and their general practitioners (GPs). The implications are two-fold. Firstly, improving quality appears as a factor to increase attractiveness, so that hospital competition may lead to improved health outcomes. Secondly, it highlights that hospital financing should include an activity dimension in which "money follows the patient", otherwise no financial incentive exists to improve quality. Hence, the current hospital financing model and the limited possibility to choose in certain areas limit the potential of quality improvement based on enhanced attractivity. Decision makers should be aware that quality is a driver of patient choice, as our study demonstrates, and adapt the system to take advantage of this reality.

Measuring Active Purchasing in Healthcare: Analysing Reallocations of Funds Between Providers to Evaluate Purchasing Systems Performance in the Netherlands

BACKGROUND

Purchasing systems aim to improve resource allocation in healthcare markets. The Netherlands is characterized by four different purchasing systems: managed competition in the hospital market, a non-competitive single payer system for long-term care (LTC), municipal procurement for home care and social services, and self-procurement via personal budgets. We hypothesize that managed competition and competitive payer reforms boost reallocations of provider market share by means of active purchasing, ie, redistributing funds from high-quality providers to low-quality providers.

METHODS

We define a Market Activity Index (MAI) as the sum of funds reallocated between providers annually. Provider expenditures are extracted from provider financial statements between 2006 and 2019. We compare MAI in six healthcare sectors under four different purchasing systems, adjusting for reforms, and market entry/exit. Next, we perform in-depth analyses on the hospital market. Using multivariate linear regressions, we relate reallocations to selective contracting, provider quality, and market characteristics.

RESULTS

No difference was found between reallocations in the hospital care market under managed competition and the non-competitive single payer LTC (MAI between 2% and 3%), while MAI was markedly higher under procurement by municipalities and personal budget holders (between 5% and 15%). While competitive reforms temporarily increased MAI, no structural effects were found. Relatively low hospital MAI could not be explained by market characteristics. Furthermore, the extent of selective contracting or hospital quality differences had no significant effects on reallocations of funds.

CONCLUSION

Dutch managed competition and competitive purchaser reforms had no discernible effect on reallocations of funds between providers. This casts doubt on the mechanisms advocated by managed competition and active purchasing to improve allocative efficiency.

Capturing What Matters with Patients' Bypass Behavior? Evidence from a Cross-Sectional Study in China

BACKGROUND

In China, bypassing is becoming increasingly prevalent. Such behavior, as going directly to upper-level health-care facilities without a primary care provider (PCP) referral when facing non-critical diseases, contrasts to "expanding the role of PCPs as the first-contact of care", may cause unneglectable damage to the healthcare system and people's physical health.

OBJECTIVE

To examine the relationship between patient experience in primary health-care clinics (PHCs) and their bypass behavior.

METHODS

A cross-sectional study was designed for data collection. From July 2021 to August 2021, we conducted a questionnaire survey nationally. Fifty-three investigators were dispatched to 212 pre-chosen PHCs, around which 1060 interviewees were selected to gather information, using a convenience sampling. The primary independent variable was scores measured by Chinese Primary Care Assessment Tool (PCAT-C) to quantify patients' experience at PHCs. The dependent variable was a binary variable measured by a self-developed instrument to identify whether participants actually practiced bypassing. Covariates were well-screened determinants of patients' bypass behavior including socio-demographic factors, policy factors, and health-care suppliers. Binary logistic regression analysis was employed to evaluate the association of patients' experience with their bypass behavior.

FINDINGS

A total of 928 qualified questionnaires were obtained. The first contact dimension (OR 0.961 [95% CI 0.934 to 0.988], P = 0.005) and continuity dimension (OR 1.034 [95% CI 1.000 to 1.068], P = 0.047) of patients' experience were significantly associated with patients' bypass behavior (P < 0.05). In addition, age (OR 1.072, [95% CI 1.015-1.132], P = 0.013) and gender (OR 2.044, [95% CI 1.139-3.670], P = 0.017) also made a statistically significant difference.

CONCLUSION

Enhancement in patient experience at PHCs may help reduce their bypass behavior. Specifically, efforts are needed to improve primary care accessibility and utilization. The positive correlation between bypassing rates and continuity scores may require more attention on strengthening PCPs' technical quality besides the quality of interpersonal interactions.

Analyzing Factors Influencing Patient Selection of a Surgeon for Elective Surgery in Saudi Arabia: A Questionnaire-Based Survey

BACKGROUND

Nowadays patients are encouraged to partake in healthcare decision making and patient preferences are given increasing weight. Patient's choice is important to reduce waiting time and to encourage competition between providers, as most patients look for high-quality care while minimizing costs, according to different studies this may not be as simple as the attributes and factors that patients value when selecting a hospital or surgeon. Overall, Saudi Arabia has minimal research on how patients select surgeons or surgical facilities. Therefore, the goal of the current study was to evaluate the criteria Saudi population patients used to select their surgeons.

OBJECTIVE

The objective is to determine the relative importance of the following aspects that patients may consider when selecting a surgeon: (a) physician-related considerations; (b) elements relating to healthcare service and access; (c) the perspectives of patients on various factors.

METHODS

This observational cross-sectional study attempts to investigate the criteria that people in Saudi Arabia considered most important while selecting their surgeons. This study was conducted between August and November 2022. The questionnaire is also given in English along with Arabic.

RESULTS

Six hundred nine completed the survey with a response rate of 91.6%. Concerning physician-related factors considered when choosing a surgeon attitudes of the physician were the factor most significantly contributed to physician selection rather than reputation or professional experience and physician social media: (84.7%) mentioned that paying attention to patient's needs and opinions is important; sparing enough time for patients is important as reported by 83.9% of the participants; Personal care and hygiene is important for 83.4% of the participants; Communication skills were considered to be important as stated by 82.6% of the participants. Regarding healthcare services/access-related factors considered by patients in physician selection; it was found that patients considered hospital hygiene-cleanliness (91.3 %) as the most significant healthcare service/access-related factor in physician selection and then it comes Ease of obtaining an appointment (89.7%), reasonable scheduling and wait for time (87.7%) and cost of surgery (82.1%). Physician selection was deemed crucial to the success of the therapy by 87.7% of patients, while 88.3% of patients thought it was crucial to research the doctor before contacting her or him for the current admission.

CONCLUSION

Patients consider a wide range of variables when selecting their surgeons and the location of their procedure. Depending on sociodemographic, cultural, and other aspects, the conditions surrounding patients' decisions may vary. Overall, the selection of a surgeon by surgery patients appears to be more influenced by the doctor's attitudes than by his or her reputation, professional experience, or social media presence. In order to elicit preferences across a wider range of surgical subspecialties and patient demographics, more study is necessary.

Stable Two-Sided Satisfied Matching for Hospitals and Patients Based on the Disappointment Theory

With the global spread of COVID-19 and the shortage of medical resources, the key to improve the quality of medical services is to solve the problem of hospital–patient matching. This paper constructs a two-sided matching (TSM) model based on the psychological perceptions of hospitals and patients to realize effective matching that maximizes the satisfaction of hospitals and patients. First, we determine the influencing factors of mutual choice between hospitals and patients through investigation and literature and establish a TSM evaluation system to obtain the preference order of hospitals and patients. Then, using disappointment theory, the preference order value is transformed into preference utility, and the preference utility of hospitals and patients is transformed into the perceived utility of hospital and patient satisfaction. Finally, under the constraint of stable matching, a multiobjective optimization model of TSM is established with the goal of maximizing the sum of the perceived utility of hospitals and patients. The optimal TSM results are obtained by solving the model, and an example is given to verify the practicability and effectiveness of the model. The results show that the stable bilateral satisfaction matching model considering the psychological factors of both sides can fully meet the expectations of hospitals and patients and has certain practical value.

Modeling Health Seeking Behavior Based on Location-Based Service Data: A Case Study of Shenzhen, China

Understanding residents’ health seeking behavior is crucial for the planning and utilization of healthcare resources. With the support of emerging location-based service (LBS) data, this study proposes a framework for inferring health seeking trips, measuring observed spatial accessibility to healthcare, and interpreting the determinants of health seeking behavior. Taking Shenzhen, China as a case study, a supply–demand ratio calculation method based on observed data is developed to explore basic patterns of health seeking, while health seeking behavior is described using a spatial analysis framework based on the Huff model. A total of 95,379 health seeking trips were identified, and their analysis revealed obvious differences between observed and potential spatial accessibility. In addition to the traditional distance decay effect and number of doctors, the results showed health seeking behavior to be determined by hospital characteristics such as hospital scale, service quality, and popularity. Furthermore, this study also identified differences in health seeking behavior between subgroups with different ages, incomes, and education levels. The findings highlight the need to incorporate actual health seeking behavior when measuring the spatial accessibility of healthcare and planning healthcare resources. The framework and methods proposed in this study can be applied to other contexts and other types of public facilities.

[Access to health care throughout the country]

The legal basis for describing the regional care situation is based on the adjusted supply rate of the 'demand planning guideline'. However, it provides only limited information about the accessibility of medical care which is crucial for the reality of patients' lives. The aim of this review is to present geographic approaches that spatially measure access to dermatological care in its physical and digital dimension. Here, on the one hand, the classical geographic parameter 'accessibility' is addressed, and on the other hand, data from the Federal Ministry of Transport and Digital Infrastructure (BMVI) on broadband coverage are presented as access parameters of teledermatological applications. In addition to the methodological approach, limitations and potentials in the interpretation of the results, minimum standards are also considered. The access parameters presented here make it possible to investigate spatial disparities and to present them clearly via cartographic representations. While the example of accessibility with a car shows almost area-wide access to the nearest dermatology practice (≤ 30 min), investigations on public transport accessibility reveal rather heterogeneous accessibility. Particularly in the identification of 'dual care gaps', sub-areas with poor physical and digital accessibility, these approaches could support and advance the application of alternative care models. However, the approaches presented here focus on potential accessibility. Further dimensions on actual physician utilisation or availability-also with regard to minimum standards-should be the subject of future research.

Bypassing primary care facilities: health-seeking behavior of middle age and older adults in China

BACKGROUND

With economic development, aging of the population, improved insurance coverage, and the absence of a formal referral system, bypassing primary healthcare facilities appear to have become more common. Chinese patients tend to visit the secondary or tertiary healthcare facilities directly leading to overcrowding at the higher-level facilities. This study attempts to analyze the factors associated with bypassing primary care facilities among patients of age 45 years or older in China.

METHODS

Random effects logistic models were used to examine bypassing of primary health facilities among rural-urban patients. Data from 2011 to 2015 waves of the China Health and Retirement Longitudinal Study were used.

RESULTS

Two in five older patients in China bypass primary health centers (PHC) to access care from higher-tier facilities. Urban patients were nearly twice as likely as rural patients to bypass PHC. Regardless of rural-urban residence, our analysis found that a longer travel time to primary facilities compared to higher-tier facilities increases the likelihood of bypassing. Patients with higher educational attainment were more likely to bypass PHCs. In rural areas, patients who reported their health as poor or those who experienced a recent hospitalization had a higher probability of bypassing PHC. In urban areas, older adults (age 65 years or older) were more likely to bypass PHC than the younger group. Patients with chronic conditions like diabetes also had a higher probability of bypassing.

CONCLUSIONS

The findings indicate the importance of strengthening the PHCs in China to improve the efficiency and effectiveness of the health system. Significantly lower out-of-pocket costs at the PHC compared to costs at the higher tiers had little or no impact on increasing the likelihood of utilizing the PHCs. Improving service quality, providing comprehensive person-centered care, focusing on family health care needs, and providing critical preventive services will help increase utilization of PHCs as well as the effectiveness and efficiency of the health system.

Choice, quality and patients' experience: evidence from a Finnish physiotherapy service

We study the relationship between patient choices and provider quality in a rehabilitation service for disabled patients who receive the service frequently but do not have access to quality information. Previous research has found a positive relationship between patient choices and provider quality in health services that patients typically do not have previous experience or use frequently. We contribute by examining choices of new patients and experienced patients who were either forced to switch or actively switched their provider. In the analysis, we combine register data on patients' choices and switches with provider quality data from a competitive bidding, and estimate conditional logit choice models. The results show that all patients prefer high-quality providers within short distances. We find that the willingness to travel for quality is highest among new patients and active switchers. These results suggest that new patients and active switchers compare different alternatives more thoroughly, whereas forced switchers choose their new provider in limited time leading into poorer choices.

Spatial accessibility of general inpatient care in Germany: an analysis of surgery, internal medicine and neurology

Improving spatial accessibility to hospitals is a major task for health care systems which can be facilitated using recent methodological improvements of spatial accessibility measures. We used the integrated floating catchment area (iFCA) method to analyze spatial accessibility of general inpatient care (internal medicine, surgery and neurology) on national level in Germany determining an accessibility index (AI) by integrating distances, hospital beds and morbidity data. The analysis of 358 million distances between hospitals and population locations revealed clusters of lower accessibility indices in areas in north east Germany. There was a correlation of urbanity and accessibility up to r = 0.31 (p < 0.001). Furthermore, 10% of the population lived in areas with significant clusters of low spatial accessibility for internal medicine and surgery (neurology: 20%). The analysis revealed the highest accessibility for heart failure (AI = 7.33) and the lowest accessibility for stroke (AI = 0.69). The method applied proofed to reveal important aspects of spatial accessibility i.e. geographic variations that need to be addressed. However, for the majority of the German population, accessibility of general inpatient care was either high or at least not significantly low, which suggests rather adequate allocation of hospital resources for most parts of Germany.

Competition between Public and Private Maternity Care Providers in France: Evidence on Market Segmentation

The purpose of this paper is to investigate the potential for segmentation in hospital markets, using the French case where private for-profit providers play an important role having nearly 25% of market shares, and where prices are regulated, leading to quality competition. Using a stylized economic model of hospital competition, we investigate the potential for displacement between vertically differentiated public and private providers, focusing on maternity units where user choice is central. Building over the model, we test the following three hypotheses. First, the number of public maternity units is likely to be much larger in less populated departments than in more populated ones. Second, as the number of public maternity units decreases, the profitability constraint should allow more private players into the market. Third, private units are closer substitutes to other private units than to public units. Building an exhaustive and nationwide data set on the activity of maternity services linked to detailed data at a hospital level, we use an event study framework, which exploits two sources of variation: (1) The variation over time in the number of maternity units and (2) the variation in users' choices. We find support for our hypotheses, indicating that segmentation is at work in these markets with asymmetrical effects between public and private sectors that need to be accounted for when deciding on public market entry or exit.

Optimal cost adjustment for a selfish routing healthcare network

South Korea's large hospitals are severely burdened by patient congestion because patients throng to these places expecting to get treated better given their higher-quality healthcare. Effective cost management of the healthcare system is one way to reduce patient congestion in a large hospital. This study proposes methods that can help direct patient flows in a desirable direction and suggests ways to effectively manage the cost of healthcare. The study also discusses how selfish patients act in ways that maximize their benefits by choosing a specific hospital and in turn forcing the hospital and the healthcare network to bear more costs than is necessary. The study proposes a model describing the need for intervention from the government to control the cost escalation resulting from selfish routing. The study proposes two heuristic algorithms to solve the suggested model. The flow-based algorithm addresses the target quantum of flows, and the utility-based algorithm targets the value of cost functions. Performances of heuristics are evaluated through numerical experiments. The utility-based algorithm yields higher values for objectives, while the flow-based algorithm controls the extent of investment. A case study based on data from the Seoul city database is also analyzed. The cost adjustment policy is compared with simple, uniformly improved network policies, and findings show that such policies have the strength needed to improve the cost-effectiveness of the healthcare system if implemented fully and effectively.

Interpretation of China's 2017 health expenditure: a latent profile analysis of panel data

OBJECTIVE

To explore the latent structure of health financing and the institutional distribution of health expenditure (focused on hospital expenditure) in provinces, autonomous regions and municipalities of mainland China, and to examine how these profiles may be related to their externalising and internalising characteristics.

STUDY DESIGN

The study used panel data harvested from the China National Health Accounts Report 2018.

METHODS

Mainland China's provincial data on health expenditure in 2017 was studied. A latent profile analysis was conducted to identify health financing and hospital health expenditure profiles in China. Additionally, rank-sum tests were used to understand the difference of socioeconomic indicators between subgroups.

RESULTS

A best-fitting three-profile solution for per capita health financing was identified, with government health expenditure (χ²=10.137, p=0.006) and social health expenditure (χ²=6.899, p=0.032) varying significantly by profiles. Health expenditure in hospitals was subject to a two-profile solution with health expenditure flow to urban hospitals, county hospitals and community health service centres having significant differences between the two profiles (p<0.001).

CONCLUSIONS

Per capita health financing and health expenditure spent in hospitals have discrepant socioeconomic characteristics in different profiles, which may be attributed to macroeconomic factors and government policies. The study provided new and explicit ideas for health financing and health policy regulation in China.

Ethics in contemporary health care management and medical education

RATIONALE

The health care landscape is changing: it has become the largest part of the economy and changes in public management systems will greatly affect how we practice medicine in the future. Medical education will be more important than ever to ensure patients get the best care with empathy. However, new public management systems implemented without thorough analysis might challenge medical education. An increasing number of public health care institutions provide services based on competitive market rules and express their goals in financial terms and have set financial gains as their main goal, which contradicts the fundamental nature of medical ethics and practice.

AIMS AND OBJECTIVES

To explore new public management to identify potential problems and offer possible solutions for medical education and health care institutions.

METHODS

A scoping review of the literature on public administration, hospital management, professionalism, ethics, and medical education was undertaken to map evidence on the topic and identify main concepts and knowledge gaps in the influence of management systems on the quality of medical educational practices.

RESULTS

If the accelerating changes in public management are cursorily analysed, medical education may lose the esteem in which it has long been held globally. Without precautions, the so-called new public management medical faculties will-at best-generate economic benefit, following a business model with strict quality rules, regulations, standardized products, and complex analysis and measurement systems. However, these faculties will function at a level far below the ideal of teaching institutions distinguished for their outstanding components, creativity, and ambience.

CONCLUSIONS

Patients and teaching values are not reducible to financial terms only and the acknowledgement of non-financial values is fundamental to achieve quality in health care and education. The most essential step could be selecting managers who will implement public management principles while taking into account both business requirements and medical ethics.

Simulating the impact of centralization of prostate cancer surgery services on travel burden and equity in the English National Health Service: A national population based model for health service re-design

Introduction

There is limited evidence on the impact of centralization of cancer treatment services on patient travel burden and access to treatment. Using prostate cancer surgery as an example, this national study analysis aims to simulate the effect of different centralization scenarios on the number of center closures, patient travel times, and equity in access.

Methods

We used patient‐level data on all men (n = 19,256) undergoing radical prostatectomy in the English National Health Service between January 1, 2010 and December 31, 2014, and considered three scenarios for centralization of prostate cancer surgery services A: procedure volume, B: availability of specialized services, and C: optimization of capacity. The probability of patients travelling to each of the remaining centers in the choice set was predicted using a conditional logit model, based on preferences revealed through actual hospital selections. Multivariable linear regression analysed the impact on travel time according to patient characteristics.

Results

Scenarios A, B, and C resulted in the closure of 28, 24, and 37 of the 65 radical prostatectomy centers, respectively, affecting 3993 (21%), 5763 (30%), and 7896 (41%) of the men in the study. Despite similar numbers of center closures the expected average increase on travel time was very different for scenario B (+15 minutes) and A (+28 minutes). A distance minimization approach, assigning patients to their next nearest center, with patient preferences not considered, estimated a lower impact on travel burden in all scenarios. The additional travel burden on older, sicker, less affluent patients was evident, but where significant, the absolute difference was very small.

Conclusion

The study provides an innovative simulation approach using national patient‐level datasets, patient preferences based on actual hospital selections, and personal characteristics to inform health service planning. With this approach, we demonstrated for prostate cancer surgery that three different centralization scenarios would lead to similar number of center closures but to different increases in patient travel time, whilst all having a minimal impact on equity.

Are patients willing to accept longer travel times to decrease their risk associated with surgical procedures? A systematic review

Background

Distance to a hospital is an influencing factor for patients´ decision making when choosing a hospital for surgery. It is unclear whether patients prefer to travel further to regional instead of local hospitals if the risk associated with elective surgery is lower in the farther hospital. The aim of our systematic review was to investigate patient preferences for the location of care, taking into consideration surgical outcomes and hospital distance.

Methods

MEDLINE (PubMed), EconLit, PsycInfo and EMBASE were searched until November 2019. We included experimental choice studies in which participants were asked to make a hypothetical decision where to go for elective surgery when surgical risk and/or distance to the hospitals vary. There was no restriction on the type of intervention or study. Reviewers independently extracted data using a standardized form. The number and proportion of participants willing to accept additional risk to obtain surgery in the local hospital was recorded. We also extracted factors associated with the decision.

Results

Five studies exploring participants´ preferences for local care were included. In all studies, there were participants who, independently of a decreased mortality risk or a higher survival benefit in the regional hospital, adhered to the local hospital. The majority of the patients were willing to travel longer to lower their surgical risk. Older age and fewer years of formal education were associated with a higher risk tolerance in the local hospital.

Conclusions

Whether patients were willing to travel for a lower surgery-associated risk could not be answered in a straightforward manner. The studies we identified showed that decision making also relies on factors other than on rational information on risk or distance to hospital.

Trial registration

International prospective register of ongoing systematic reviews (PROSPERO): CRD42016033655. Registered 1 January 2016.

Is there scope for mixed markets in the provision of hospital care?

Market oriented reforms in hospital care have produced a variety of quasi markets that differ for the type of providers that are allowed to compete. Mixed markets, where public hospitals compete alongside private ones, are increasingly common, but the literature does not agree on their performances and their desirability. We review the contributions in this field by proposing a common framework which allows to account for the different approaches proposed to model public hospitals. In this paper we show under which conditions mixed markets perform better in terms of average quality, and we review the empirical literature to determine whether these conditions are met. In general, pure forms (private or public competition) are superior to mixed markets, unless patients interpret public hospitals as reference suppliers, and quality of care is important. The empirical evidence on these key questions shows that public hospitals behave differently from private organisations, but they are not necessarily less efficient. Research into patients choices seems to suggest that ownership is a value, but the empirical literature is still rather scant. From a policy point of view, our review suggests that there does not seem to be a clear answer to whether this market form should be used. Local conditions are going to play an important role.

Sub-Standard Pharmaceutical Services in Private Healthcare Facilities Serving Low-Income Settlements in Nairobi County, Kenya

Background: Quality pharmaceutical services are an integral part of primary healthcare and a key determinant of patient outcomes. The study focuses on pharmaceutical service delivery among private healthcare facilities serving informal settlements within Nairobi County, Kenya and aims at understanding the drug procurement practices, task-shifting and ethical issues associated with drug brand preference, competition and disposal of expired drugs. Methods: Forty-five private facilities comprising of hospitals, nursing homes, health centres, medical centres, clinics and pharmacies were recruited through purposive sampling. Structured electronic questionnaires were administered to 45 respondents working within the study facilities over an 8-week period. Results: About 50% of personnel carrying out drug procurement belonged to non-pharmaceutical cadres namely; doctors, clinical officers, nurses and pharmacy assistants. Drug brand preferences among healthcare facilities and patients were mainly pegged on perceived quality and price. Unethical business competition practices were recorded, including poor professional demeanour and waiver of consultation fees veiled to undercut colleagues. Government subsidized drugs were sold at 100% profit in fifty percent of the facilities stocking them. In 44% of the facilities, the disposal of expired drugs was not in conformity to existing government regulatory guidelines. Conclusions: There is extensive task-shifting and delegation of pharmaceutical services to non-pharmaceutical cadres and poor observance of ethical guidelines in private facilities. Strict enforcement of regulations is required for optimal practices.

Factors associated with the choice of primary care facilities for initial treatment among rural and urban residents in Southwestern China

Objective

To explore influential factors contributing to the choice of primary care facilities (PCFs) for the initial treatment among rural and urban residents in Southwestern China.

Methods

A face-to-face survey was conducted on a multistage stratified random sample of 456 rural and 459 urban residents in Sichuan Province from January to August in 2014. A structured questionnaire was used to collect data on residents’ characteristics, provider of initial treatment and principal reason for the choice. Multivariate logistic regression was performed to identify factors associated with choosing PCFs for the initial treatment.

Results

The result showed that 65.4% of the rural residents and 50.5% of the urban residents chose PCFs as their initial contact for medical care. Among both rural and urban residents, the principal reason for choosing medical institutions for the initial treatment was convenience (42.3% versus 40.5%, respectively), followed by high quality of medical care (26.5% versus 29.4%, respectively). Compared to rural residents, urban residents were more likely to value trust in doctors and high quality of medical care but were less likely to value the insurance designation status of the facilities. Logistic regression analysis showed that both rural and urban residents were less likely to choose PCFs for the initial treatment if they lived more than 15 minutes (by walk) from the nearest facilities (rural: OR = 0.15, 95%CI = 0.09–0.26; urban: OR = 0.19, 95%CI = 0.10–0.36), had fair (rural: OR = 0.49, 95%CI = 0.26–0.92; urban: OR = 0.31, 95%CI = 0.15–0.64) or poor (rural: OR = 0.14, 95%CI = 0.07–0.30; urban: OR = 0.22, 95%CI = 0.11–0.44) self-reported health status. Among rural residents, attending college or higher education (OR = 0.21, 95%CI = 0.08–0.59), being retired (OR = 0.90, 95%CI = 0.44–1.84) and earning a per capita annual income of household of 10,000–29,999 (OR = 0.24, 95%CI = 0.11–0.52) and 30,000–49,999 (OR = 0.26, 95%CI = 0.07–0.92) were associated with lower rates of seeking care at PCFs.

Conclusion

Efforts should be made to improve the accessibility of PCFs and to upgrade the services capability of PCFs both in rural and urban areas in China. At the same time, resources should be prioritized to residents with poorer self-reported health status, and rural residents who retire or have better education and higher income levels should be taken into account.

Modelling competition in health care markets as a complex adaptive system: an agent-based framework

Health market reforms necessitate continuous re-evaluation of initiatives, competitive regulations, and antitrust policies. Synergistic implications, evolution, and behaviour changes associated with the market competition are often overlooked due to methodological limitations. To rectify these limitations, parallels between defining features of health care markets (HCM) and complex adaptive systems (CAS) are drawn. The science of CAS develops complex system-level models of dynamic interactions to allow insights for heterogeneous agents and emergent behaviours. Agent-based modelling (ABM) is a computational tool of CAS science suitable for investigating competition in HCM. The proposed agent-based framework conceptualises agents, environment, and interactions, and formalises agent-specific attributes and modules that achieve agent roles to recreate HCM dynamics. The framework conceptualises competition in HCM into an implementable ABM for a CAS assessment, identifies data sources, and develops face-validity procedures. Developments in data, computational power, and decisions theory compel CAS approach to complement studies on pressing HCM issues.

Cancer Patients' Utilization of Tertiary Hospitals in Seoul Before and After the Benefit Expansion Policy

Objectives

The aim of this study was to investigate cancer patients’ utilization of tertiary hospitals in Seoul before and after the benefit expansion policy implemented in 2013.

Methods

This was a before-and-after study using claims data of the Korean National Health Insurance Service from 2011 to 2016. The unit of analysis was inpatient episodes, and inpatient episodes involving a malignant neoplasm (International Classification of Diseases, Tenth Revision codes: C00-C97) were included in this study. The total sample (n=5 565 076) was divided into incident cases and prevalent cases according to medical use due to cancer in prior years. The tertiary hospitals in Seoul were divided into two groups (the five largest hospitals and the other tertiary hospitals in Seoul).

Results

The proportions of the incident and prevalent episodes occurring in tertiary hospitals in Seoul were 34.9% and 37.2%, respectively, of which more than 70% occurred in the five largest hospitals in Seoul. Utilization of tertiary hospitals in Seoul was higher for inpatient episodes involving cancer surgery, patients with a higher income, patients living in areas close to Seoul, and patients living in areas without a metropolitan city. The utilization of the five largest hospitals increased by 2 percentage points after the policy went into effect.

Conclusions

The utilization of tertiary hospitals in Seoul was concentrated among the five largest hospitals. Future research is necessary to identify the consequences of this utilization pattern.

Identifying Determinants for Traveled Distance and Bypassing in Outpatient Care: A Scoping Review

The outpatient sector represents a growing share of health care. This review examines how patients choose their physician for continuous outpatient care and why they are willing to bypass the nearest physician. It was conducted according to the PRISMA extension for scoping reviews (PRISMA-ScR). Three databases (PubMed/Medline, ScienceDirect, and Ovid Medline) were searched, focusing on articles in which distance influenced the choice of physician. In all, 1,308 articles were accessed, and 17 selected for final review. First, we extracted methods for assessing distance traveled and bypassing. Second, we identified determinants that directly influence the traveled distance and transferred all into a conceptual framework. The center of this framework is the individual "willingness-to-go", which reflects the willingness of patients to accept additional distances. Our findings can support studies on patient mobility and physician choice, which are essential for examining both the distribution and use of medical services, as well as for adequate need related planning.

Hospital Choice for Cataract Treatments: The Winner Takes Most

Background: Transparency in quality of care is an increasingly important issue in healthcare. In many international healthcare systems, transparency in quality is crucial for health insurers when purchasing care on behalf of their consumers, for providers to improve the quality of care (if necessary), and for consumers to choose their provider in case treatment is needed. Conscious consumer choices incentivize healthcare providers to deliver better quality of care. This paper studies the impact of quality on patient volume and hospital choice, and more specifically whether high quality providers are able to attract more patients.

Methods: The dataset covers the period 2006-2011 and includes all patients who underwent a cataract treatment in the Netherlands. We first estimate the impact of quality on volume using a simple ordinary least squares (OLS), second we use a mixed logit to determine how patients make trade-offs between quality, distance and waiting time in provider choice.

Results: At the aggregate-level we find that, a one-point quality increase, on a scale of one to a hundred, raises patient volume for the average hospital by 2-4 percent. This effect is mainly driven by the hospital with the highest quality score: the effect halves after excluding this hospital from the dataset. Also at the individual-level, all else being equal, patients have a stronger preference for the hospital with the highest quality score, and appear indifferent between the remaining hospitals.

Conclusion: Our results suggest that the top performing hospital is able to attract significantly more patients than the remaining hospitals. We find some evidence that a small share of consumers may respond to quality differences, thereby contributing to incentives for providers to invest in quality and for insurers to take quality into account in the purchasing strategy.

Hospital Quality Factors Influencing the Mobility of Patients for Radical Prostate Cancer Radiation Therapy: A National Population-Based Study

Purpose

To investigate whether patients requiring radiation treatment are prepared to travel to alternative more distant centers in response to hospital choice policies, and the factors that influence this mobility.

Methods and Materials

We present the results of a national cohort study using administrative hospital data for all 44,363 men who were diagnosed with prostate cancer and underwent radical radiation therapy in the English National Health Service between 2010 and 2014. Using geographic information systems, we investigated the extent to which men choose to travel beyond (“bypass”) their nearest radiation therapy center, and we used conditional logistic regression to estimate the effect of hospital and patient characteristics on this mobility.

Results

In all, 20.7% of men (n=9161) bypassed their nearest radiation therapy center. Travel time had a very strong impact on where patients moved to for their treatment, but its effect was smaller for men who were younger, more affluent, and from rural areas (P for interaction always <.001). Men were prepared to travel further to hospitals that offered hypofractionated prostate radiation therapy as their standard schedule (odds ratio 3.19, P<.001), to large-scale radiation therapy units (odds ratio 1.56, P<.001), and to hospitals that were early adopters of intensity modulated radiation therapy (odds ratio 1.37, P<.001).

Conclusions

Men with prostate cancer are prepared to bypass their nearest radiation therapy centers. They are more likely to travel to larger established centers and those that offer innovative technology and more convenient radiation therapy schedules. Indicators that accurately reflect the quality of radiation therapy delivered are needed to guide patients' choices for radiation therapy treatment. In their absence, patient mobility may negatively affect the efficiency and capacity of a regional or national radiation therapy service and offer perverse incentives for technology adoption.

Rural Patients With Severe Sepsis or Septic Shock Who Bypass Rural Hospitals Have Increased Mortality: An Instrumental Variables Approach

OBJECTIVE

To identify factors associated with rural sepsis patients' bypassing rural emergency departments to seek emergency care in larger hospitals, and to measure the association between rural hospital bypass and sepsis survival.

DESIGN

Observational cohort study.

SETTING

Emergency departments of a rural Midwestern state.

PATIENTS

All adults treated with severe sepsis or septic shock between 2005 and 2014, using administrative claims data.

INTERVENTIONS

Patients bypassing local rural hospitals to seek care in larger hospitals.

MEASUREMENTS AND MAIN RESULTS

A total of 13,461 patients were included, and only 5.4% (n = 731) bypassed a rural hospital for their emergency department care. Patients who initially chose a top-decile sepsis volume hospital were younger (64.7 vs 72.7 yr; p < 0.001) and were more likely to have commercial insurance (19.6% vs 10.6%; p < 0.001) than those who were seen initially at a local rural hospital. They were also more likely to have significant medical comorbidities, such as liver failure (9.9% vs 4.2%; p < 0.001), metastatic cancer (5.9% vs 3.2%; p < 0.001), and diabetes with complications (25.2% vs 21.6%; p = 0.024). Using an instrumental variables approach, rural hospital bypass was associated with a 5.6% increase (95% CI, 2.2-8.9%) in mortality.

CONCLUSIONS

Most rural patients with sepsis seek care in local emergency departments, but demographic and disease-oriented factors are associated with rural hospital bypass. Rural hospital bypass is independently associated with increased mortality.

Selective contracting and channelling patients to preferred providers: A scoping review

Selective contracting by health insurers and channelling patients to contracted providers is crucial in a health care system based on managed competition, as this should lead to better value for money delivery of healthcare. However, an important consequence for enrolees is that health insurers interfere with their choice of care provider. This scoping review aims to find out what is known about selective contracting from the enrolee's perspective. Is it being done and how do enrolees feel about the role of their health insurer in their care provider choice? A literature search was conducted, and, in addition, experts were consulted for extra information and documents. Results show that selective contracting and channelling are practised in several countries. This is mostly through negative financial incentives, which are also found to be the most effective strategy. However, enrolees are very negative about restrictions on provider choice introduced by their insurer. This results in enrolees feeling less satisfaction with, and trust in, care providers and health insurers. Choice is crucial in this respect since enrolees are more satisfied with their health plans and care providers when they have chosen them themselves. Future research should focus on the role of trust and how people weigh different attributes of health plans if selective contracting and channelling is to be implemented in a manner acceptable to enrolees.

Patient choice modelling: how do patients choose their hospitals?

As an aid to predicting future hospital admissions, we compare use of the Multinomial Logit and the Utility Maximising Nested Logit models to describe how patients choose their hospitals. The models are fitted to real data from Derbyshire, United Kingdom, which lists the postcodes of more than 200,000 admissions to six different local hospitals. Both elective and emergency admissions are analysed for this mixed urban/rural area. For characteristics that may affect a patient's choice of hospital, we consider the distance of the patient from the hospital, the number of beds at the hospital and the number of car parking spaces available at the hospital, as well as several statistics publicly available on National Health Service (NHS) websites: an average waiting time, the patient survey score for ward cleanliness, the patient safety score and the inpatient survey score for overall care. The Multinomial Logit model is successfully fitted to the data. Results obtained with the Utility Maximising Nested Logit model show that nesting according to city or town may be invalid for these data; in other words, the choice of hospital does not appear to be preceded by choice of city. In all of the analysis carried out, distance appears to be one of the main influences on a patient's choice of hospital rather than statistics available on the Internet.

Health plan choice in the Netherlands: restrictive health plans preferred by young and healthy individuals

In a health care system based on managed competition, health insurers negotiate on quality and price with care providers and are allowed to offer restrictive health plans. It is crucial that enrolees who need care choose restrictive health plans, as otherwise health insurers cannot channel patients to contracted providers and they will lose their bargaining power in negotiations with providers. We aim to explain enrolees' choice of a restrictive health plan in exchange for a lower premium. In 2014 an online survey with an experimental design was conducted on members of an access panel (response 78%; n=3,417). Results showed 37.4% of respondents willing to choose a restrictive health plan in exchange for a lower premium. This fell to 22% when the restrictive health plan also included a longer travelling time. Enrolees who choose a restrictive health plan are younger and healthier, or on lower incomes, than those preferring a non-restrictive one. This means that enrolees who use care will be unlikely to choose a restrictive health plan and, therefore, health insurers will not be able to channel them to contracted care providers. This undermines the goals of the health care system based on managed competition.

An agent-based simulation model of patient choice of health care providers in accountable care organizations

Accountable care organizations (ACO) in the United States show promise in controlling health care costs while preserving patients' choice of providers. Understanding the effects of patient choice is critical in novel payment and delivery models like ACO that depend on continuity of care and accountability. The financial, utilization, and behavioral implications associated with a patient's decision to forego local health care providers for more distant ones to access higher quality care remain unknown. To study this question, we used an agent-based simulation model of a health care market composed of providers able to form ACO serving patients and embedded it in a conditional logit decision model to examine patients capable of choosing their care providers. This simulation focuses on Medicare beneficiaries and their congestive heart failure (CHF) outcomes. We place the patient agents in an ACO delivery system model in which provider agents decide if they remain in an ACO and perform a quality improving CHF disease management intervention. Illustrative results show that allowing patients to choose their providers reduces the yearly payment per CHF patient by $320, reduces mortality rates by 0.12 percentage points and hospitalization rates by 0.44 percentage points, and marginally increases provider participation in ACO. This study demonstrates a model capable of quantifying the effects of patient choice in a theoretical ACO system and provides a potential tool for policymakers to understand implications of patient choice and assess potential policy controls.

Location, quality and choice of hospital: Evidence from England 2002-2013

We investigate (a) how patient choice of hospital for elective hip replacement is influenced by distance, quality and waiting times, (b) differences in choices between patients in urban and rural locations, (c) the relationship between hospitals' elasticities of demand to quality and the number of local rivals, and how these changed after relaxation of constraints on hospital choice in England in 2006. Using a data set on over 500,000 elective hip replacement patients over the period 2002 to 2013 we find that patients became more likely to travel to a provider with higher quality or lower waiting times, the proportion of patients bypassing their nearest provider increased from 25% to almost 50%, and hospital elasticity of demand with respect to own quality increased. By 2013 average hospital demand elasticity with respect to readmission rates and waiting times were - 0.2 and - 0.04. Providers facing more rivals had demand that was more elastic with respect to quality and waiting times. Patients from rural areas have smaller disutility from distance.

Patient Mobility for Elective Secondary Health Care Services in Response to Patient Choice Policies: A Systematic Review

Our review establishes the empirical evidence for patient mobility for elective secondary care services in countries that allow patients to choose their health care provider. PubMed and Embase were searched for relevant articles between 1990 and 2015. Of 5,994 titles/abstracts reviewed, 26 studies were included. The studies used three main methodological models to establish mobility. Variation in the extent of patient mobility was observed across the studies. Mobility was positively associated with lower waiting times, indicators of better service quality, and access to advanced technology. It was negatively associated with advanced age or lower socioeconomic backgrounds. From a policy perspective we demonstrate that a significant proportion of patients are prepared to travel beyond their nearest provider for elective services. As a consequence, some providers are likely to be “winners” and others “losers,” which could result in overall decreased provider capacity or inefficient utilization of existing services. Equity also remains a key concern.

Multilevel Modeling and Policy Development: Guidelines and Applications to Medical Travel

Medical travel has expanded rapidly in recent years, resulting in new markets and increased access to medical care. Whereas several studies investigated the motives of individuals seeking healthcare abroad, the conventional analytical approach is limited by substantial caveats. Classical techniques as found in the literature cannot provide sufficient insight due to the nested nature of data generated. The application of adequate analytical techniques, specifically multilevel modeling, is scarce to non-existent in the context of medical travel. This study introduces the guidelines for application of multilevel techniques in public health research by presenting an application of multilevel modeling in analyzing the decision-making patterns of potential medical travelers. Benefits and potential limitations are discussed.

Preferred Primary Healthcare Provider Choice Among Insured Persons in Ashanti Region, Ghana

BACKGROUND

In early 2012, National Health Insurance Scheme (NHIS) members in Ashanti Region were allowed to choose their own primary healthcare providers. This paper investigates the factors that enrolees in the Ashanti Region considered in choosing preferred primary healthcare providers (PPPs) and direction of association of such factors with the choice of PPP.

METHODS

Using a cross-sectional study design, the study sampled 600 NHIS enrolees in Kumasi Metro area and Kwabre East district. The sampling methods were a combination of simple random and systematic sampling techniques at different stages. Descriptive statistics were used to analyse demographic information and the criteria for selecting PPP. Multinomial logistic regression technique was used to ascertain the direction of association of the factors and the choice of PPP using mission PPPs as the base outcome.

RESULTS

Out of the 600 questionnaires administered, 496 were retained for further analysis. The results show that availability of essential drugs (53.63%) and doctors (39.92%), distance or proximity (49.60%), provider reputation (39.52%), waiting time (39.92), additional charges (37.10%), and recommendations (48.79%) were the main criteria adopted by enrolees in selecting PPPs. In the regression, income (-0.0027), availability of doctors (-1.82), additional charges (-2.14) and reputation (-2.09) were statistically significant at 1% in influencing the choice of government PPPs. On the part of private PPPs, availability of drugs (2.59), waiting time (1.45), residence (-2.62), gender (-2.89), and reputation (-2.69) were statistically significant at 1% level. Presence of additional charges (-1.29) was statistically significant at 5% level.

CONCLUSION

Enrolees select their PPPs based on such factors as availability of doctors and essential drugs, reputation, waiting time, income, and their residence. Based on these findings, there is the need for healthcare providers to improve on their quality levels by ensuring constant availability of essential drugs, doctors, and shorter waiting time. However, individual enrolees may value each criterion differently. Thus, not all enrolees may be motivated by same concerns. This requires providers to be circumspect regarding the factors that may attract enrolees. The National Health Insurance Authority (NHIA) should also ensure timely release of funds to help providers procure the necessary medical supplies to ensure quality service.

Patient hospital choice for hip replacement: empirical evidence from the Netherlands

In the Dutch health care system, hospitals are expected to compete. A necessary condition for competition among hospitals is that patients do not automatically choose the nearest hospital, but are-at least to some extent-sensitive to differences in hospital quality. In this study, an analysis is performed on the underlying features of patient hospital choice in a setting where prices do not matter for patients as a result of health insurance coverage. Using claims data from all Dutch hospitals over the years 2008-2010, a conditional logit model examines the relationship between patient characteristics (age, gender and reoperations) and hospital attributes (hospital quality information, waiting times on treatments and travel time for patients to the hospitals) in the market for general non-emergency hip replacement treatments. The results show that travel time is the most important determinant in patient hospital choice. From our analysis, however, it follows that publicly available hospital quality ratings and waiting times also have a significant impact on patient hospital choice. The panel data used for this study (2008-2010) is rather short, which may explain why no coherent and persistent changes in patient hospital choice behaviour over time are found.

Poverty and health care demand in Kenya

Background

There is a wide range of actions an individual could take when sick or injured such as self–care, consulting a traditional healer, or seeking treatment from a private or public health care facility. The specific action taken is influenced by individual characteristics, provider characteristics, societal factors, and geographical factors. A key individual characteristic is the ability to afford the required health care. The study examines the effect of poverty on an individual’s choice of a health care provider in the event of sickness or injury in Kenya.

Methods

Using data from the Kenya Integrated Household and Budget Survey carried out between 2005 and 2006, we estimate a multinomial probit model that links an individual’s poverty status to the individual’s health care provider choice. The choices are classified as none, non-modern, and modern. The model is estimated for four age groups: infants, children aged 1 to 5 years, children aged 6 to 14 years, and adults. We control for the potential endogeneity of poverty status.

Results

Our results indicate that for all age groups, the predictors of poverty include large household sizes and longer distances to the nearest health facility. We further find that poverty reduces the probability of visiting a modern health care provider amongst all age groups.

Conclusions

Poverty has a negative effect on the individual’s demand for modern health care services, holding other factors constant. To encourage the use of modern health care facilities, therefore, requires the pursuit of poverty–reduction strategies. Some of the ways this could be done include lowering the household sizes and reducing the average distance to modern health care facilities.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-014-0560-y) contains supplementary material, which is available to authorized users.

Concentration of gynaecology and obstetrics in Germany: is comprehensive access at stake?

Financial soundness will become more and more difficult in the future for all types of hospitals. This is particularly relevant for gynaecology and obstetrics departments: while some disciplines can expect higher demand due to demographic changes and progress in medicine and medical technology, the inpatient sector for gynaecology and obstetrics is likely to lose patients in line with these trends. In this paper we estimate future demand for gynaecology and obstetrics in Germany and develop a cost model to calculate the average profitability in this discipline. The number of inpatient cases in gynaecology and obstetrics can be expected to decrease by 3.62% between 2007 and 2020 due to the demographic change and a potential shift from inpatient to outpatient services. Small departments within the fields of gynaecology and obstetrics are already incurring heavy losses, and the anticipated decline in cases should increase this financial distress even more. As such, the further centralisation of services is indicated. We calculate travel times for gynaecology and obstetrics patients and estimate the anticipated changes in travel times by simulating different scenarios for this centralisation process. Our results show that the centralisation of hospital services in gynaecology and obstetrics may be possible without compromising comprehensive access as measured by travel times.

Patient choice of a hospital: implications for health policy and management

PURPOSE

The purpose of this study was to identify the most important influencing factors in choosing a hospital by a patient.

DESIGN/METHODOLOGY/APPROACH

This study involved a mixed research design. Focus groups and in-depth individual interviews were conducted with patients to explore reasons for choosing a hospital. In addition, this study involved survey-based research on the patient choice.

FINDINGS

Type of the hospital, type of the service, word of mouth, cost of services, the health insurance programme, location, physical environment, facilities, providers' expertise and interpersonal behaviour, and reputation of the hospital influenced patients' choice of a hospital. Doctor recommendations and health insurance programme were the main reasons for choosing a hospital for inpatients and outpatients respectively.

PRACTICAL IMPLICATIONS

Identifying and understanding key factors that influence a patient choice of a healthcare setting helps managers and policy makers invest their resources in those critical areas and improve those aspects of their services to attract more patients.

ORIGINALITY/VALUE

This article contributes to healthcare theory and practice by developing a conceptual framework for understanding the factors that influence a patient choice of a healthcare setting.

The use of publicly available quality information when choosing a hospital or health-care provider: the role of the GP

BACKGROUND

Patients barely use publicly available quality information for making a decision concerning secondary health care, but instead rely on information coming from their general practitioner (GP). An intermediate role of GPs has been suggested concerning the use of publicly available quality information. The aim of the study is to quantify and explore GPs' use of publicly available quality information when referring patients or suggesting secondary health-care provider to them.

METHODS

In this cross-sectional study, an invitation to an electronic questionnaire was sent to 858 GPs in the south of the Netherlands. GPs were asked about their use of and perception towards publicly available quality information through closed-ended and open-ended questions. Differences among subgroups were tested for significance using Pearson's chi-square tests.

RESULTS

The majority of respondents (89.5%) never or rarely use publicly available quality information. They perceive them as invalid and unreliable. Distance to the hospital, prior experiences and personal contacts with specialists guide them when advising and referring. Almost 90% of respondents never or rarely suggest quality information as support for decision making to their patients. No significant differences between subgroups were observed.

CONCLUSION

This study is among the firsts exploring and quantifying GPs' use of publicly available quality information. The results suggest that publicly available quality information appears in its current format and application not useful for GPs. GPs have to be aware of their influential role in patients' decision making and possibly have to take more responsibility in guiding them through the jungle of quality information.

How patients choose hospitals: Using the stereotypic content model to model trustworthiness, warmth and competence

In many countries, policy initiatives force the implementation of demand-driven healthcare systems to encourage competition among providers. When actively choosing hospitals, consumers can compare data on the quality of hospital performance among providers. However, patients do not necessarily take full advantage of comparative quality information but instead use a number of readily available proxies to evaluate provider trustworthiness. According to the stereotypic content model, organizational trustworthiness is built on stereotypical perceptions of hospitals' competence and warmth, reflected by visible hospital characteristics such as ownership and teaching status, and size. We introduce a theoretical framework on stereotypic quality perceptions that brings together fragmented findings in health services research on patient quality expectations of hospital characteristics. The model provides a basis for further research and recommendations for improved hospital communication strategies. The study suggests that researchers as well as hospital management should pay more attention to stereotypical patient quality perceptions and their impact on hospital choice to understand patients' quality evaluations better.

The relative effect of health literacy and patient activation on provider choice in the Netherlands

Active provider choice by patients has become an important policy theme in western, countries over the last decades. However, not many patients and consumers exercise their right to, choose. Both health literacy and patient activation are likely to have an impact on the choice process. In, this article the relative effect of health literacy and patient activation on provider choice in the, Netherlands is studied. A questionnaire was sent to a representative sample of 2000 Dutch citizens. The questionnaire, included a measure of functional health literacy, the Dutch version of the Patient Activation Measure, and questions assessing active provider choice, reasons not to engage in it and other ways of provider, selection. The majority of respondents (59.6%) would not search for information on the basis of which they, could select the best provider or hospital. Most people rely on their general practitioner's advice. Both, low literacy and lower patient activation levels were negatively associated with active provider choice. In a regression analysis gender, education and patient activation proved the most important, predictors. The policy focus on active provider choice might result in inequity, with men, less educated, and less activated people being at a disadvantage.