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A 2 × 2 full factorial between subjects experimental design was used to examine how three elements of the health care experience (patients’ freedom to choose a physician; patients receiving their preferred physician; health care outcome) impacted on patient satisfaction with health care service. All constructs with corresponding measurements were discussed, and their relationships with satisfaction were examined. Hypotheses were developed and tested for each relationship using a pencil and paper scenario of a patient’s first time service encounter at a health clinic. Results of the experiment indicated that given an undesirable health outcome, allowing patients a choice of physicians favorably raised patient satisfaction levels. Further, patients who were treated by a physician whom they preferred rated the health care experience more positively than did patients who received non‐preferred physicians.

An experiment was conducted to examine the relationship between patient satisfaction and patients’ freedom to choose a physician and the outcome of a health service encounter. Each construct with corresponding measurements is discussed and their relationship with satisfaction is reviewed. Hypotheses were developed and tested for each relationship using pencil and paper scenarios of a patient’s service encounter at a health clinic. The study yielded four major findings. First, patients who experienced a good health outcome were significantly more satisfied than patients who received a bad health outcome. Second, patient satisfaction ratings differed significantly only in the bad outcome condition, suggesting an outcome bias. Third, patients who were given the freedom to select a physician but did not receive their chosen physician were least satisfied. Fourth, there was no difference in satisfaction between patients who had a choice of physician and those who did not.

An experiment was conducted to examine the impact of patients’ freedom to choose a physician and health locus of control on patient satisfaction. The experiment was set within the scenario of a patient suffering from a lengthy viral infection after visiting a health clinic for the first time. All constructs with corresponding measurements are discussed and their relationships with satisfaction are examined. Hypotheses are developed and tested for each relationship using pencil and paper scenarios of a patient’s service encounter at a health clinic. A 2 × 2 full factorial between subjects experimental design was used with 99 subjects. Results of the experiment indicated different patterns of satisfaction among subjects based on measures of health locus of control (HLC). Individuals with an internal HLC were more satisfied with having a choice of a physician than not having a choice and were also more satisfied than external HLC individuals who had a choice. In contrast, individuals with an external HLC did not discriminate between having or not having the opportunity to choose a physician.

The impact of image is widely investigated in various research fields. However, its effect in online health communities is rarely studied. In this research, the authors develop a theoretical model to assess the impact of physicians' image on patients' choices in online health communities.

The authors developed a web crawler based on R language program to collect more than 40,000 physicians' images and other related information from their homepages in Haodf.com–a leading online health community in China. The features of physicians' images are computed by Face++ Application Programming Interface (API) through the following variables: beauty, smile and skin status.

The empirical results derive the following findings: (1) physician's beauty or physical attractiveness has no significant effect on patients’ choice; (2) Smile has a positive effect on patients’ choices; (3) Physician's skin status also positively affects patients' choices; (4) Physician's professional capital strengthens the effect of beauty, smile and skin status on patients' choices; (5) Beauty and skin status are the substitutes for each other, and smile and skin status are the substitutes for each other too.

Also, this study provides implications for both physicians and online health community platform managers.

This study provides new evidence in understanding the impact of physician's online image and contributes to the literature on signaling theory, impression management theory and patients' choices.

This paper has two purposes: one is to analyse how the policy of freedom of choice emerged and was formed in the Swedish health care discourse; the second is related to how free choice influences the discourse in health care and how subjects are formed within the field, i.e. what the language of choice in health care does.

The research strategy is inspired by a combined theoretical framework borrowed from Michel Foucault's concepts of “discursive formation” and “subjectivization” completed with Judith Butler's concept of performativity.

The language of “freedom of choice” calls to mind the rhetoric of promises, i.e. that the patient should be free and responsible, in his or her relation to health care. Since patients seem to be insufficiently informed and supported about the actual benefits of possibilities and limitations associated with the severely restricted reform of free choice, the statements concerning opportunities to make personal health decisions will lose their significance. The advocacy of discourses of freedom of choice seems therefore mostly like empty words, as they are producing weak patients instead of free and empowered people.

As the reform was initiated in the beginning of 2000 it is rather fresh.

The paper produces insights into the rhetoric of political promises and the limitations of the reform dealing with freedom of choice in health care.

The purpose of this paper is to explore the influence of a physician’s prosocial behavior on a patient's choices in the online health community (OHC) context. Moreover, the authors explore how such effects differ across different online word-of-mouth (WOM) and professional titles.

Guided by the motivation, opportunity and ability (MOA) framework, this paper develops hypotheses and an econometric model. Then this paper used spline regression to test hypotheses on 6,204 physicians at The Good Doctor (www.Haodf.com), which is one of the largest Chinese OHCs. The authors conducted the propensity score matching and difference-in-difference method (PSM-DID) to address the concern about the bias caused by possible endogeneity concerns.

The authors’ results show that a physician’s prosocial behavior improves a patient's choice only when the strength of a physician’s prosocial behavior is below the tipping point. In addition, the influence of a physician’s prosocial behavior is heterogeneous for physicians with different online WOM and professional titles. For physicians with higher online WOM, the effect of a physician's prosocial behaviors on a patient's choice is positive, while for physicians with lower online WOM, a physician’s prosocial behavior has no impact on a patient’s choice. For physicians with higher professional titles, the quantity of a physician’s prosocial behavior has a positive impact on a patient’s choice, while for physicians with lower professional titles the quality of a physician’s prosocial behavior has a positive impact on a patient’s choice.

This study contributes new knowledge and provides new perspectives to study a patient's choice by addressing the importance of physician's prosocial behavior. With the effort of explicitly explaining the complex mechanisms, this study encourages physicians' engagement in a physician’s prosocial behavior and gives some implications on how to perform the behaviors strategically.

From December 2005, patients in the UK needing an operation will be offered a choice of four or five. These could be NHS trusts, foundation trusts, treatment centres, private hospitals or practitioners with a special interest operating within primary care. This is called “Choose and Book”. The purpose of this research is to discover how critical facilities management service factors are in influencing a choice of hospital. The aim is to find out what the most important influencing factors are to people when making a choice of which hospital to have their operation. If facilities services and the patient environment are influencing factors in the patient experience, which are considered critical.

Focus groups were used as the primary method of data collection.

The study finds that all three focus groups placed more importance on clinical factors than facilities factors. High standards of cleanliness and good hospital food were the two facilities factors that participants in all groups placed most importance on. Cleanliness was highlighted by all three groups as a top facilities priority for the NHS at the moment and there was a general perception that private hospitals have better standards of cleanliness.

By understanding how important facilities factors are in influencing patient choice and which ones have a critical impact, it will help NHS trusts focus on where they channel their resources.

This paper is of value to NHS trusts who want to make effective use of facilities services in order to be competitive in attracting patients through the new patient choice framework.

The purpose of this paper is to maximize the expected revenue of the outpatient department considering patient preferences and choices.

Patient preference refers to the preferred physician and time slot that patients hold before asking for appointments. Patient choice is the appointment decision the patient made after receiving a set of options from the scheduler. The relationship between patient choices and preferences is explored. A dynamic programming (DP) model is formulated to optimize appointment scheduling with patient preferences and choices. The DP model is transformed to an equivalent linear programming (LP) model. A decomposition method is proposed to eliminate the number of variables. A column generation algorithm is used to resolve computation problem of the resulting LP model.

Numerical studies show the benefit of multiple options provided, and that the proposed algorithm is efficient and accurate. The effects of the booking horizon and arrival rates are studies. A policy about how to make use of the information of patient preferences is compared to other naive polices. Experiments show that more revenue can be expected if patient preferences and choices are considered.

This paper proposes a framework for appointment scheduling problem in outpatient departments. It is concluded that more revenue can be achieved if more choices are provided for patients to choose from and patient preferences are considered. Additionally, an appointment decision can be made timely after receiving patient preference information. Therefore, the proposed model and policies are convenient tools applicable to an outpatient department.

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

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.

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.

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.

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.

Despite the prevalent use of professional status and service feedback in online healthcare markets, the potential interaction relationship between two types of information is still unknown. This study used the signaling theory to examine the substitute relationship between professional status and service feedback in patients' doctor choice, as well as the moderating effect of illness severity.

To test the paper's hypotheses, we constructed a panel data model using 418 doctors' data collected over a period of six months from an online healthcare market in China. Then, according to the results of the Hausman test, we estimated a fixed-effects model of patients' choice in online healthcare markets.

The empirical results showed that the effect of a doctor's professional status and service feedback on a patient's doctor choice was substitutable. Moreover, patients' illness severity played a moderating role, in that the influence of professional status on a patient with high-severity illness was higher than that on a patient with low-severity illness, whereas the influence of service feedback on a patient with low-severity illness was higher than that of a patient with high-severity illness. In addition, we found that illness severity negatively moderated the substitute relationship between professional status and service feedback on a patient's choice.

These findings not only contribute to signaling theory and research on online healthcare markets, but also help us understand the importance of professional status and service feedback on a patient's choice when seeking a doctor online.