{"title":"Consumer preferences for health insurance, in the wake of covid-19: Ranked features and customer segments.","authors":"Arpita Dutta, Ankit Singh","doi":"10.1080/07359683.2021.1987007","DOIUrl":"https://doi.org/10.1080/07359683.2021.1987007","url":null,"abstract":"<p><p>The current study is conceptualized to assess the perception of the general population towards health insurance providers and the policy features, to segment them based on their attitudes. The mixed-method design is used in this study. One fifty health insurance users response were analyzed. The data analysis technique includes focus group discussion, henry garret ranking method, factor analysis and cluster analysis. This study concludes that health insurance providers needs to devise insurance policies incorporating the features of home health, telemedicine and income protection features. The existing users should be offered customization option due to covid-19 to prevent customer switch.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":"38 2-3","pages":"188-204"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39505284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating into the critical factors supporting healthy independent longevity: A proposition of a conceptual model with measurements during and beyond COVID-19 pandemic.","authors":"Hiroko Oe, Yasuyuki Yamaoka","doi":"10.1080/07359683.2021.1986961","DOIUrl":"https://doi.org/10.1080/07359683.2021.1986961","url":null,"abstract":"<p><p>This study investigated the factors that support the elderly citizens' perceived healthy independent longevity during and beyond the COVID-19 pandemic. The Structural Equation Modeling was conducted with the 1607 dataset collected from Japan to validate a proposed model with six antecedent factors. It has been found that \"Town vibrancy\" and \"Mobility and transportations\" have the most significant impact, whereas \"Health and welfare policies\" and \"Community bonding\" have a relatively lower impact on their perceived healthy longevity. The study has provided a conceptual model with measurements for further discussions in the field of study.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":"38 2-3","pages":"130-149"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39569259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Updating an empirical investigating risk perceptions associated with national ID cards in the wake of the global Covid-19 pandemic.","authors":"Alan D Smith","doi":"10.1080/07359683.2021.1980841","DOIUrl":"https://doi.org/10.1080/07359683.2021.1980841","url":null,"abstract":"<p><p>National ID cards have been debated for some time, especially with the recent Covid-19 global pandemic and increases in technological capabilities, coupled with the need for higher national security. This paper is an empirical extension of Smith's work but in light of the current economic and political turmoil. These differences were inspected from a gender perspective, but the distrust was generally universal. As the beneficial reasons why National ID cards should be implemented (e.g., enhanced security, convenience, and enhancing CRM concepts), still many professionals exhibit numerous fears and are concerned with the risks involved.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":"38 2-3","pages":"70-90"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39441412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarah Akel, Fatin Bleibel, Genevieve Hale, Nile M Khanfar
{"title":"Destigmatizing public health concerns and supply of COVID-19 vaccines.","authors":"Sarah Akel, Fatin Bleibel, Genevieve Hale, Nile M Khanfar","doi":"10.1080/07359683.2021.1968099","DOIUrl":"https://doi.org/10.1080/07359683.2021.1968099","url":null,"abstract":"<p><p>The end of the global pandemic caused by COVID-19 and a future without masks and restrictions are promising with the discovery of a vaccine. Still, there is much worry about the vaccine itself. Fears about what is inside the vaccine, how quickly it was created and plans for distribution are major concerns. This article aims to address these concerns to relieve vaccine hesitancy. Methods for distribution within the United States as well as different strategies to ensure proper and equitable allocation of COVID-19 vaccine worldwide is also described.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":"38 2-3","pages":"91-97"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39333148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The impact of animosity, brand image, consumer boycott, and product judgment on made-in-China covid-19 vaccination intention.","authors":"Usep Suhud, Mamoon Allan","doi":"10.1080/07359683.2021.1987010","DOIUrl":"https://doi.org/10.1080/07359683.2021.1987010","url":null,"abstract":"<p><p>This study measures consumers' intention to receive the Covid-19 vaccine using an international marketing approach. Vaccination intention was tested by analysing animosity, consumer boycott, brand image, and product judgment, which had dropped from the attention of marketing researchers. Data was collected in Malang, in Indonesia. participants were selected using an online convenient sampling method. There were eight hypotheses examined. Data was processed using exploratory factor analysis and structural equation models. The results showed that animosity has positive impact on consumer boycott and a negative impact on brand image. Consumer boycott, brand image, and product judgment was significantly affected vaccination intention.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":"38 2-3","pages":"150-167"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39505286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Communicating bad news of COVID-19: An empirical study of patients' preferences in India.","authors":"Sakhhi Chhabra, Smitha Girija","doi":"10.1080/07359683.2021.1987017","DOIUrl":"https://doi.org/10.1080/07359683.2021.1987017","url":null,"abstract":"<p><p>The study aims to assess patients' preferences regarding physicians communicating bad news of COVID-19. Based on the data collected from 74 patients with COVID-19 in India, this study assesses \"how\" patients want bad news to be delivered. Key aspects of the physician-patient interaction were identified from the literature. Regression tests proved that three main constructs contribute significantly toward patient outcomes. Content of the message and facilitation were most crucial, however too much emotional support was not desirable by patients. Also, the patient's gender and educational background should be considered before breaking bad news . Thus, to increase patient compliance full disclosure and patient-centered methods of communication can be used.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":"38 2-3","pages":"205-221"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39522001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Md Mahiuddin Sabbir, Khan Md Raziuddin Taufique, Marzia Nomi
{"title":"Telemedicine acceptance during the COVID-19 pandemic: User satisfaction and strategic healthcare marketing considerations.","authors":"Md Mahiuddin Sabbir, Khan Md Raziuddin Taufique, Marzia Nomi","doi":"10.1080/07359683.2021.1986988","DOIUrl":"https://doi.org/10.1080/07359683.2021.1986988","url":null,"abstract":"<p><p>A lot remains unexplored regarding the antecedents and outcomes of telemedicine acceptance from health service marketing perspective. This study addresses this gap by integrating the Health Belief Model and the Unified Theory of Acceptance and Use of Technology model in the context of generation Y and Z's response to the COVID-19 pandemic. Data collected from 293 respondents were analyzed using structural equation modeling. The results confirm theoretical rigor of integrating two models examining the antecedents and user satisfaction as an outcome of telemedicine acceptance. The findings also suggest marketing strategies for implementing telemedicine during pandemic. Future research directions are highlighted.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":"38 2-3","pages":"168-187"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39514649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Factors determining intention to vaccinate against Covid-19: A developing nation perspective.","authors":"Ruchi Garg, Ritu Chhikara, Sakhhi Chhabra, Alok Bhardwaj","doi":"10.1080/07359683.2021.1987020","DOIUrl":"https://doi.org/10.1080/07359683.2021.1987020","url":null,"abstract":"<p><p>India is more challenged than developed nations in reducing the Covid-19 cases and lowering death rates due to the huge population and unprepared health care system. As intention to vaccinate is contextual and its availability does not translate into their de facto adoption., this paper examines the factors that determine intention to vaccinate against COVID-19 in India. A research model was tested using 222 responses was tested using structural equation modeling. Findings suggested that credibility and awareness positively impacted whereas vaccine hesitancy and perceived risk negatively influenced intention to vaccinate. The fear of side effects did not impact the intention to vaccinate.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":"38 2-3","pages":"116-129"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39506414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diana L Haytko, Enping Shirley Mai, Brian J Taillon
{"title":"COVID-19 information: Does political affiliation impact consumer perceptions of trust in the source and intent to comply?","authors":"Diana L Haytko, Enping Shirley Mai, Brian J Taillon","doi":"10.1080/07359683.2021.1986996","DOIUrl":"https://doi.org/10.1080/07359683.2021.1986996","url":null,"abstract":"<p><p>The challenge of shifting consumer behaviors toward trusting and adhering to COVID-19 public health guidelines was exacerbated by a divisive political environment in the USA. The source credibility of the public health information became a topic of debate. To understand how trust in the major sources of public health information impacts public health guideline adherence, and whether political affiliation affected this relationship, two studies were conducted. Results indicated that political affiliation mediated the relationship between source trust and public health behavior adherence. These findings provide insight into the complexity of messaging and adherence to public health messages during a time of crisis.</p>","PeriodicalId":36008,"journal":{"name":"Health Marketing Quarterly","volume":"38 2-3","pages":"98-115"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39529021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}