J. Med. Internet Res. - What explains usage of mobile physician-rating apps? Results from a web-based questionnaire.

Tópicos

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Resumo

CKGROUND: Consumers are increasingly accessing health-related information via mobile devices. Recently, several apps to rate and locate physicians have been released in the United States and Germany. However, knowledge about what kinds of variables explain usage of mobile physician-rating apps is still lacking.OBJECTIVE: This study analyzes factors influencing the adoption of and willingness to pay for mobile physician-rating apps. A structural equation model was developed based on the Technology Acceptance Model and the literature on health-related information searches and usage of mobile apps. Relationships in the model were analyzed for moderating effects of physician-rating website (PRW) usage.METHODS: A total of 1006 randomly selected German patients who had visited a general practitioner at least once in the 3 months before the beginning of the survey were randomly selected and surveyed. A total of 958 usable questionnaires were analyzed by partial least squares path modeling and moderator analyses.RESULTS: The suggested model yielded a high model fit. We found that perceived ease of use (PEOU) of the Internet to gain health-related information, the sociodemographic variables age and gender, and the psychographic variables digital literacy, feelings about the Internet and other Web-based applications in general, patients' value of health-related knowledgeability, as well as the information-seeking behavior variables regarding the amount of daily private Internet use for health-related information, frequency of using apps for health-related information in the past, and attitude toward PRWs significantly affected the adoption of mobile physician-rating apps. The sociodemographic variable age, but not gender, and the psychographic variables feelings about the Internet and other Web-based applications in general and patients' value of health-related knowledgeability, but not digital literacy, were significant predictors of willingness to pay. Frequency of using apps for health-related information in the past and attitude toward PRWs, but not the amount of daily Internet use for health-related information, were significant predictors of willingness to pay. The perceived usefulness of the Internet to gain health-related information and the amount of daily Internet use in general did not have any significant effect on both of the endogenous variables. The moderation analysis with the group comparisons for users and nonusers of PRWs revealed that the attitude toward PRWs had significantly more impact on the adoption and willingness to pay for mobile physician-rating apps in the nonuser group.CONCLUSIONS: Important variables that contribute to the adoption of a mobile physician-rating app and the willingness to pay for it were identified. The results of this study are important for researchers because they can provide important insights about the variables that influence the acceptance of apps that allow for ratings of physicians. They are also useful for creators of mobile physician-rating apps because they can help tailor mobile physician-rating apps to the consumers' characteristics and needs.

Resumo Limpo

ckground consum increas access healthrel inform via mobil devic recent sever app rate locat physician releas unit state germani howev knowledg kind variabl explain usag mobil physicianr app still lackingobject studi analyz factor influenc adopt willing pay mobil physicianr app structur equat model develop base technolog accept model literatur healthrel inform search usag mobil app relationship model analyz moder effect physicianr websit prw usagemethod total random select german patient visit general practition least month begin survey random select survey total usabl questionnair analyz partial least squar path model moder analysesresult suggest model yield high model fit found perceiv eas use peou internet gain healthrel inform sociodemograph variabl age gender psychograph variabl digit literaci feel internet webbas applic general patient valu healthrel knowledg well informationseek behavior variabl regard amount daili privat internet use healthrel inform frequenc use app healthrel inform past attitud toward prws signific affect adopt mobil physicianr app sociodemograph variabl age gender psychograph variabl feel internet webbas applic general patient valu healthrel knowledg digit literaci signific predictor willing pay frequenc use app healthrel inform past attitud toward prws amount daili internet use healthrel inform signific predictor willing pay perceiv use internet gain healthrel inform amount daili internet use general signific effect endogen variabl moder analysi group comparison user nonus prws reveal attitud toward prws signific impact adopt willing pay mobil physicianr app nonus groupconclus import variabl contribut adopt mobil physicianr app willing pay identifi result studi import research can provid import insight variabl influenc accept app allow rate physician also use creator mobil physicianr app can help tailor mobil physicianr app consum characterist need

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