Determinants of citizens' choice between public and private hospitals

OBJECTIVE

This study assesses what factors determine citizens' preferences for a public or private hospital (assuming the choice is free of charge) according to the severity of the disease.

MATERIAL AND METHOD

A web-based discrete choice experiment was carried out with 1777 individuals distinguishing between a control group (posed with a simple choice for each health condition) and added information for respondents of the treatment groups (distance, waiting time, advice from the family doctor, and recommendations from the social context). The relevance of these factors in relation to the severity of one's illness is investigated. The outcome variable is the choice of a public versus a private hospital for the treatment of a health issue of a different severity.

RESULTS

The severity of the health issue has a moderator effect on the additional information for the treatment groups. Waiting time has a direct positive impact on the patient's preferred choice for a private hospital both for severe and non-severe health issues. Distance to the hospital and the family doctor's recommendation positively impact the preferred choice for a private hospital for non-severe health issues but not for severe health issues. Covariates like gender and age are not relevant in explaining the effects of the treatments, and educational level has a positive impact on one of the treatments: advice from the patient's environment. Satisfaction with public hospitals has a positive impact on all treatments.

CONCLUSIONS

Results indicate that waiting time is a key factor in choosing a private hospital against the majority-stated preference for a public hospital.

How do patients' perceptions and doctors' images impact patient decisions? Deconstructing online physician selection using multimodal data

In the post-pandemic era, medical resources are uneven, and access to healthcare is complicated. Online medical platforms have become a solution to bridge the information gap and reduce hospital pressure. This study uses the stereotype content model and signaling theory to explore the impact of patient perception of patient decision making (PDM) on online medical service platforms. Also, it tests the moderating effect of physician image. We collected information on 12,890 physicians and 746,981 patient reviews from online medical platforms in China. Unsupervised machine learning was used to construct a topic model to extract patients' perceptions of physicians' competence and warmth. Meanwhile, the facial features of physicians, such as age, smile, and glasses, are recognized by convolutional neural networks. Finally, the influence of PDM concern on decision-making and the moderating effect of physician image were analyzed by multiple linear regression. The results of the study showed that (1) patients' perceptions of physicians' competence and warmth had a positive effect on decision-making; (2) physicians' age and wearing glasses enhanced the positive effect of perception on decision-making; and (3) however, physicians' smiles weakened the positive effect of perception on decision-making. This study provides new insights into patients' online physician selection, guides the construction and promotion of medical service platforms, and provides an effective avenue of exploration to alleviate the problem of uneven distribution of offline medical resources.

Resource planning strategies for healthcare systems during a pandemic

We study resource planning strategies, including the integrated healthcare resources' allocation and sharing as well as patients' transfer, to improve the response of health systems to massive increases in demand during epidemics and pandemics. Our study considers various types of patients and resources to provide access to patient care with minimum capacity extension. Adding new resources takes time that most patients don't have during pandemics. The number of patients requiring scarce healthcare resources is uncertain and dependent on the speed of the pandemic's transmission through a region. We develop a multi-stage stochastic program to optimize various strategies for planning limited and necessary healthcare resources. We simulate uncertain parameters by deploying an agent-based continuous-time stochastic model, and then capture the uncertainty by a forward scenario tree construction approach. Finally, we propose a data-driven rolling horizon procedure to facilitate decision-making in real-time, which mitigates some critical limitations of stochastic programming approaches and makes the resulting strategies implementable in practice. We use two different case studies related to COVID-19 to examine our optimization and simulation tools by extensive computational results. The results highlight these strategies can significantly improve patient access to care during pandemics; their significance will vary under different situations. Our methodology is not limited to the presented setting and can be employed in other service industries where urgent access matters.

The Influence of Stereotypes on Trust in Doctors from Patients' Perspective: The Mediating Role of Communication

Purpose

To investigate the relationship among patients' stereotypes of doctors, effectiveness of doctors' communication skills evaluated by patients, and patients' trust in doctors.

Patients and Methods

A cross-sectional survey with a total of 3289 patients from 103 hospitals in eastern, central and western China was conducted.

Results

There were strong correlations among patients' stereotypes, patients' evaluation on doctors' communication skills, and patients' trust (r = 0.50-0.67, p < 0.01 for all). Patients' trust was predicted by patients' stereotypes directly (β = 0.32, 95% CI: 0.27-0.37) and indirectly (β = 0.19, 95% CI: 0.16-0.23) through patients' evaluation on doctors' communication skills.

Conclusion

Both patients' stereotypes and patients' evaluation on doctors' communication skills have predictive effects on patients' trust. Patients' stereotypes are not only a direct predictor of patients' trust but also an indirect predictor via doctors' communication skills as a mediator. This national survey underlines the significance of patients' stereotypes, and emphasizes the importance of developing doctors' communication skills on patients' trust. In order to build a more trustful doctor-patient relationship, there should be a joint effort at social and individual level to reinforce positive impression and suppress negative stereotypes of doctors. As far as communication skills are concerned, doctors are encouraged to use helpful verbal and nonverbal techniques that benefit their profession impression management.

Do We Get What We Pay For? Examining the Relationship Between Payments and Clinical Outcomes in High-Volume Elective Surgery in a Commercially-Insured Population

Studies evaluating the cost and quality of healthcare services have produced inconsistent results. We seek to determine if higher paid hospitals have higher quality outcomes compared to those receiving lower payments, after accounting for clinical and market level factors. Using inpatient commercial claims from the IBM^® MarketScan^® Research Databases, we used an ordinal logistic regression to analyze the association between hospital median payments for elective hip and knee procedures and 3 quality outcomes: prolonged length of stay, complication rate, and 30-day readmission rate. Patient-level and market factor covariates were appropriately adjusted. Hospital-level payments were found to be not significantly correlated with hospital quality of care. This research suggests that higher payments cannot predict higher quality outcomes. This finding has implications for provider-payer negotiations, value-based insurance designs, strategies to increase high-value care provision, and consumer choices in an increasingly consumer-oriented healthcare landscape.

Patients' informed consent to medical services in Georgia

Informed consent requires that a patient understands the purpose, benefits and potential risks of a medical or surgical intervention and then agrees to it. It is important not only ethically and legally but for the effectiveness of care. Studies show that, in some cases, patients have no real information on the medical service to be provided so their informed consent is just a formality. This study aims to determine problems arising from a patient's informed consent. As part of a cross-sectional study, surgical patients were interviewed using a semi-structured questionnaire. 34% of patients (n = 68) did not know what the surgical intervention was; 57% (n = 114) received sufficient information on their diagnosis and methods of treatment; however, 26% (n = 52) agreed with it only partially; 62% (n = 124) of patients knew they needed surgery; 66% (n = 132) were adequately informed on risks and benefits of alternative ways of treatment; 58% (n = 116) were informed of potential risks during surgery. The study demonstrated patients need to be better informed about different treatment options, consequences of treatment refusal. Doctors have to provide information to patients in a manner understandable to them. Medical personnel need to be educated as to what constitutes informed consent and the importance of adhering to such requirements.

Do patients value a hospital's innovativeness reputation? A multi-method approach to assess the relative importance of innovativeness reputation in patients' hospital choice

Innovations in health care are costly and risky, but they also provide the opportunity for hospitals to increase quality of care, to distinguish themselves from competitors and to attract patients. While numerous hospitals strive to increase their innovativeness by adopting a costly innovation leader strategy, the question of whether this actually influences the patient's choice remains unanswered. To understand the role of innovativeness from the patient perspective, this study conceptualizes the construct of innovativeness reputation of hospitals and determines its relevance in patients' hospital choice decisions. In the pretest, we identified six dimensions of innovativeness reputation such as progressive work procedures and value added services. We then used three different quantitative multi-criteria decision-making methods to evaluate the relative importance of innovativeness reputation in patient choice. We collected data from 355 former German patients who had undergone elective non-emergency surgery. Overall, innovativeness reputation accounts for 11.6%-16.8% of the patient decision. Innovativeness reputation has a moderate influence on hospital choice and should be taken into account by managers. Since technical innovations are costly, hospitals should use other means to enhance their innovative image. Strategies such as emphasizing value added services can enable hospitals to increase their innovativeness reputation efficiently.

Applying the concept of consumer confusion to healthcare: development and validation of a patient confusion model

As patient autonomy and consumer sovereignty increase, information provision is considered essential to decrease information asymmetries between healthcare service providers and patients. However, greater availability of third party information sources can have negative side effects. Patients can be confused by the nature, as well as the amount, of quality information when making choices among competing health care providers. Therefore, the present study explores how information may cause patient confusion and affect the behavioral intention to choose a health care provider. Based on a quota sample of German citizens (n = 198), the present study validates a model of patient confusion in the context of hospital choice. The study results reveal that perceived information overload, perceived similarity, and perceived ambiguity of health information impact the affective and cognitive components of patient confusion. Confused patients have a stronger inclination to hastily narrow down their set of possible decision alternatives. Finally, an empirical analysis reveals that the affective and cognitive components of patient confusion mediate perceived information overload, perceived similarity, and perceived ambiguity of information.