{"title":"模拟管理响应和在线评论,以改善医院的财务绩效。","authors":"Mayukh Saha, J. K. Jha, J. Maiti","doi":"10.1097/XEB.0000000000000205","DOIUrl":null,"url":null,"abstract":"Hospitals are increasingly changing their online review strategy from active listening to proactive engagement to ensure proper responses to patients. Reviews of and responses from hospitals vary in different regions of the world, thereby the process of ranking of hospitals is bounded to a specific region. On the other hand, working conditions in public hospitals have been of great concern worldwide for healthcare personnel. Due to the poor review of a hospital, financial performance is gradually deteriorating, which leads to the migration of healthcare personnel from one hospital to another. This study investigates the combined effect of management responses and online reviews on the financial performance of hospitals by concentrating on three areas of concern. First, how variation in management responses, both within a hospital and on peer review sites, affects the motivation of healthcare personnel towards service and number of patients seeking services. Second, a cyclic link depicting interrelationships among four major domains, namely rating, management response, financial performance, and recommendation, has been presented. Third, a generic model is proposed to improve the performance of hospitals in each of the above domains, and analysis has been done to make the model region-specific. A case study on Indian hospitals is performed to depict the sufficiency of models. It is found that management intervention on social media should be strategic, and a higher average rating tends to mitigate the effect of negative responses.","PeriodicalId":55996,"journal":{"name":"International Journal of Evidence-Based Healthcare","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling management response and online reviews for improved financial performance of hospitals.\",\"authors\":\"Mayukh Saha, J. K. Jha, J. Maiti\",\"doi\":\"10.1097/XEB.0000000000000205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hospitals are increasingly changing their online review strategy from active listening to proactive engagement to ensure proper responses to patients. Reviews of and responses from hospitals vary in different regions of the world, thereby the process of ranking of hospitals is bounded to a specific region. On the other hand, working conditions in public hospitals have been of great concern worldwide for healthcare personnel. Due to the poor review of a hospital, financial performance is gradually deteriorating, which leads to the migration of healthcare personnel from one hospital to another. This study investigates the combined effect of management responses and online reviews on the financial performance of hospitals by concentrating on three areas of concern. First, how variation in management responses, both within a hospital and on peer review sites, affects the motivation of healthcare personnel towards service and number of patients seeking services. Second, a cyclic link depicting interrelationships among four major domains, namely rating, management response, financial performance, and recommendation, has been presented. Third, a generic model is proposed to improve the performance of hospitals in each of the above domains, and analysis has been done to make the model region-specific. A case study on Indian hospitals is performed to depict the sufficiency of models. It is found that management intervention on social media should be strategic, and a higher average rating tends to mitigate the effect of negative responses.\",\"PeriodicalId\":55996,\"journal\":{\"name\":\"International Journal of Evidence-Based Healthcare\",\"volume\":\"47 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Evidence-Based Healthcare\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/XEB.0000000000000205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Evidence-Based Healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/XEB.0000000000000205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Modelling management response and online reviews for improved financial performance of hospitals.
Hospitals are increasingly changing their online review strategy from active listening to proactive engagement to ensure proper responses to patients. Reviews of and responses from hospitals vary in different regions of the world, thereby the process of ranking of hospitals is bounded to a specific region. On the other hand, working conditions in public hospitals have been of great concern worldwide for healthcare personnel. Due to the poor review of a hospital, financial performance is gradually deteriorating, which leads to the migration of healthcare personnel from one hospital to another. This study investigates the combined effect of management responses and online reviews on the financial performance of hospitals by concentrating on three areas of concern. First, how variation in management responses, both within a hospital and on peer review sites, affects the motivation of healthcare personnel towards service and number of patients seeking services. Second, a cyclic link depicting interrelationships among four major domains, namely rating, management response, financial performance, and recommendation, has been presented. Third, a generic model is proposed to improve the performance of hospitals in each of the above domains, and analysis has been done to make the model region-specific. A case study on Indian hospitals is performed to depict the sufficiency of models. It is found that management intervention on social media should be strategic, and a higher average rating tends to mitigate the effect of negative responses.
期刊介绍:
The International Journal of Evidence-Based Healthcare is the official journal of the Joanna Briggs Institute. It is a fully refereed journal that publishes manuscripts relating to evidence-based medicine and evidence-based practice. It publishes papers containing reliable evidence to assist health professionals in their evaluation and decision-making, and to inform health professionals, students and researchers of outcomes, debates and developments in evidence-based medicine and healthcare.
The journal provides a unique home for publication of systematic reviews (quantitative, qualitative, mixed methods, economic, scoping and prevalence) and implementation projects including the synthesis, transfer and utilisation of evidence in clinical practice. Original scholarly work relating to the synthesis (translation science), transfer (distribution) and utilization (implementation science and evaluation) of evidence to inform multidisciplinary healthcare practice is considered for publication. The journal also publishes original scholarly commentary pieces relating to the generation and synthesis of evidence for practice and quality improvement, the use and evaluation of evidence in practice, and the process of conducting systematic reviews (methodology) which covers quantitative, qualitative, mixed methods, economic, scoping and prevalence methods. In addition, the journal’s content includes implementation projects including the transfer and utilisation of evidence in clinical practice as well as providing a forum for the debate of issues surrounding evidence-based healthcare.