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Valuing Your Patient's Opinion: : Online Patient Reviews and Power Distance

Authors:

Amir Talaei-Khoei,

Caihua LiuAuthors Info & Claims

Journal of Global Information Management (JGIM), Volume 31, Issue 1

Pages 1 - 24

https://doi.org/10.4018/JGIM.324520

Published: 09 June 2023 Publication History

Abstract

Online reviews have a continuing impact across all industries. Even industries with highly skilled workers are affected by online reviews, despite large gaps in experience and skill between reviewers and reviewees. The authors conducted a study amongst physicians in Nevada and China to measure the perception of online patient reviews from the perspective of healthcare providers to explore whether this skill gap affected the perception of online reviews. The authors distributed and collected survey responses from over 200 physicians and used structural equation modeling techniques to evaluate the relationships. These findings show that physician perception of online patient reviews is partially mediated by power distance, direct effects exist between the relationships identified in our model, and that cross-cultural effects are present between physician responses across Nevada and China. This study expands the existing work in the field of review evaluations by operationalizing social-psychological distance into the construct of power distance within the context of healthcare.

References

[1]

Alden, D. L., Friend, J. M., Lee, A. Y., de Vries, M., Osawa, R., & Chen, Q. (2015). Culture and medical decision making: Healthcare consumer perspectives in Japan and the United States. Health Psychology, 34(12), 1133–1144. 26076003.

[2]

Ali, M., Tarhini, A., Brooks, L., & Kamal, M. M. (2021). Investigating the situated culture of multi-channel customer management: A case study in Egypt. [JGIM]. Journal of Global Information Management, 29(3), 46–74.

[3]

Anhang Price, R., Elliott, M. N., Zaslavsky, A. M., Hays, R. D., Lehrman, W. G., Rybowski, L., Edgman-Levitan, S., & Cleary, P. D. (2014). Examining the role of patient experience surveys in measuring health care quality. Medical Care Research and Review : MCRR, 71(5), 522–554. 25027409.

[4]

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.

[5]

Banerjee, S., Bhattacharyya, S., & Bose, I. (2017). Whose online reviews to trust? Understanding reviewer trustworthiness and its impact on business. Decision Support Systems, 96, 17–26.

Digital Library

[6]

Bardach, N. S., Asteria-Peñaloza, R., Boscardin, W. J., & Dudley, R. A. (2013). The relationship between commercial website ratings and traditional hospital performance measures in the USA. BMJ Quality & Safety, 22(3), 194–202. 23178860.

[7]

Biswas, B., Sengupta, P., & Ganguly, B. (2021). Your reviews or mine? Exploring the determinants of “perceived helpfulness” of online reviews: A cross-cultural study. Electronic Markets, 1–20. 35602112.

[8]

Boroon, L., Abedin, B., & Erfani, E. (2021). The dark side of using online social networks: A review of Individuals’ negative experiences. [JGIM]. Journal of Global Information Management, 29(6), 1–21.

[9]

Changchit, C., Klaus, T., & Treerotchananon, A. (2021). Using customer review systems to support purchase decisions: A comparative study between the US and Thailand. [JGIM]. Journal of Global Information Management, 29(6), 1–24.

[10]

Chen, J., Presson, A., Zhang, C., Ray, D., Finlayson, S., & Glasgow, R. (2018). Online physician review websites poorly correlate to a validated metric of patient satisfaction. The Journal of Surgical Research, 227, 1–6. 29804840.

[11]

Croasmun, J. T., & Ostrom, L. (2011). Using Likert-Type Scales in the Social Sciences. Journal of Adult Education, 40(1), 19–22.

[12]

Davis, D. A., Thomson, M. A., Oxman, A. D., & Haynes, R. B. (1995). Changing physician performance: A systematic review of the effect of continuing medical education strategies. Journal of the American Medical Association, 274(9), 700–705. 7650822.

[13]

Fang, H., Zhang, J., Bao, Y., & Zhu, Q. (2013). Towards effective online review systems in the Chinese context: A cross-cultural empirical study. Electronic Commerce Research and Applications, 12(3), 208–220.

[14]

Farh, J. L., Hackett, R. D., & Liang, J. (2007). Individual-level cultural values as moderators of perceived organizational support–employee outcome relationships in China: Comparing the effects of power distance and traditionality. Academy of Management Journal, 50(3), 715–729.

[15]

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. JMR, Journal of Marketing Research, 18(1), 39–50.

[16]

Gao, B., Li, X., Liu, S., & Fang, D. (2018). How power distance affects online hotel ratings: The positive moderating roles of hotel chain and reviewers’ travel experience. Tourism Management, 65, 176–186.

[17]

Gao, G. G., McCullough, J. S., Agarwal, R., & Jha, A. K. (2012). A changing landscape of physician quality reporting: Analysis of patients’ online ratings of their physicians over a 5-year period. Journal of Medical Internet Research, 14(1), e38. 22366336.

[18]

Ghose, A., & Ipeirotis, P. G. (2010). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 1498–1512.

Digital Library

[19]

Guo, J., Wang, X., & Wu, Y. (2020). Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions. Journal of Retailing and Consumer Services, 52, 101891.

[20]

Hair, J. F.Jr, Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121.

[21]

Hanauer, D. A., Zheng, K., Singer, D. C., Gebremariam, A., & Davis, M. M. (2014). Public awareness, perception, and use of online physician rating sites. Journal of the American Medical Association, 311(7), 734–735. 24549555.

[22]

Haneem, F., Kama, N., Taskin, N., Pauleen, D., & Abu Bakar, N. A. A. (2019). Determinants of master data management adoption by local government organizations: An empirical study. International Journal of Information Management, 45, 25–43.

Digital Library

[23]

He, W., Zhang, J. Z., Wu, H., Li, W., & Shetty, S. (2022). A unified health information system framework for connecting data, people, devices, and systems. [JGIM]. Journal of Global Information Management, 30(11), 1–19.

Digital Library

[24]

Hernández-Ortega, B. (2018). Don’t believe strangers: Online consumer reviews and the role of social psychological distance. Information & Management, 55(1), 31–50.

Digital Library

[25]

Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and Organizations: Software of the Mind, (3rd Edition). McGraw-Hill Education.

[26]

Holliday, A. M., Kachalia, A., Meyer, G. S., & Sequist, T. D. (2017b). Physician and Patient Views on Public Physician Rating Websites: A Cross-Sectional Study. Journal of General Internal Medicine, 32(6), 626–631. 28150098.

[27]

Hong, H., Xu, D., Wang, G. A., & Fan, W. (2017). Understanding the determinants of online review helpfulness: A meta-analytic investigation. Decision Support Systems, 102, 1–11.

Digital Library

[28]

Huang, S. S., & Crotts, J. (2019). Relationships between Hofstede’s cultural dimensions and tourist satisfaction: A cross-country cross-sample examination. Tourism Management, 72, 232–241.

[29]

Hunt, D. L., Haynes, R. B., Hanna, S. E., & Smith, K. (1998). Effects of computer-based clinical decision support systems on physician performance and patient outcomes: A systematic review. Journal of the American Medical Association, 280(15), 1339–1346. 9794315.

[30]

Idson, L. C., & Mischel, W. (2001). The personality of familiar and significant people: The lay perceiver as a social–cognitive theorist. Journal of Personality and Social Psychology, 80(4), 585–596. 11316223.

[31]

Keil, M., Tan, B. C., Wei, K. K., Saarinen, T., Tuunainen, V., & Wassenaar, A. (2000). A cross-cultural study on escalation of commitment behavior in software projects. Management Information Systems Quarterly, 24(2), 299–325.

Digital Library

[32]

Khare, A., & Sarkar, S. (2021). Does cultural value influence consumers’ Attitudes toward mall events? A study on Indian mall shoppers. Journal of International Consumer Marketing, 33(5), 526–542.

[33]

Kim, R. Y. (2019). Does national culture explain consumers’ reliance on online reviews? Cross-cultural variations in the effect of online review ratings on consumer choice. Electronic Commerce Research and Applications, 37, 100878.

Digital Library

[34]

Kim and Aggarwal. (2016). Cited in the appendix. Add to References.

[35]

Kirkpatrick, W., Abboudi, J., Kim, N., Medina, J., Maltenfort, M., Seigerman, D., Lutsky, K., & Beredjiklian, P. K. (2017). An assessment of online reviews of hand surgeons. Archives of Bone and Joint Surgery, 5(3), 139–144. 28656160.

[36]

Ladhari, . (2011). Cited in the appendix. Add to References.

[37]

Lagu, T., Haskell, J., Cooper, E., Harris, D. A., Murray, A., & Gardner, R. L. (2019). Physician beliefs about online reporting of quality and experience data. Journal of General Internal Medicine, 34(11), 2542–2548. 31463685.

[38]

Lee, S., & Choeh, J. Y. (2018). The interactive impact of online word-of-mouth and review helpfulness on box office revenue. Management Decision, 56(4), 849–866.

[39]

Leon, R. D. (2019). Hotel’s online reviews and ratings: A cross-cultural approach. International Journal of Contemporary Hospitality Management, 31(5), 2054–2073.

[40]

Leung, S.-O. (2011). A comparison of psychometric properties and normality in 4-, 5-, 6-, and 11-point Likert scales. Journal of Social Service Research, 37(4), 412–421.

[41]

Musah-Surugu, I. J., Ahenkan, A., & Bawole, J. N. (2019). Too weak to lead: Motivation, agenda setting and constraints of local government to implement decentralized climate change adaptation policy in Ghana. Environment, Development and Sustainability, 21(2), 587–607.

[42]

Obal, M., & Kunz, W. (2016). Cross-cultural differences in uses of online experts. Journal of Business Research, 69(3), 1148–1156.

[43]

Oloko, M., & Ogutu, M. (2017). Influence of power distance on employee empowerment and MNC performance: A study of multinational corporations in Kenya.

[44]

Park, D. H., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4), 399–410.

Digital Library

[45]

Polsa, P., Fuxiang, W., Sääksjärvi, M., & Shuyuan, P. (2013). Cultural values and health service quality in China. International Journal of Health Care Quality Assurance, 26(1), 55–73. 23534106.

[46]

Ramsey, P. G., Wenrich, M. D., Carline, J. D., Inui, T. S., Larson, E. B., & LoGerfo, J. P. (1993). Use of peer ratings to evaluate physician performance. Journal of the American Medical Association, 269(13), 1655–1660. 8240483.

[47]

ReviewTrackers. (2022, January). Online Reviews Statistics and Trends: A 2022 Report by ReviewTrackers. Reviewtrackers. https://www.reviewtrackers.com/reports/online-reviews-survey/

[48]

Rich, B. L., Lepine, J. A., & Crawford, E. R. (2010). Job engagement: Antecedents and effects on job performance. Academy of Management Journal, 53(3), 617–635.

[49]

Rouibah, K., Al-Qirim, N., Hwang, Y., & Pouri, S. G. (2021). The determinants of eWoM in social commerce: The role of perceived value, perceived enjoyment, trust, risks, and satisfaction. [JGIM]. Journal of Global Information Management, 29(3), 75–102.

[50]

Sargeant, J., Mann, K., Sinclair, D., Van der Vleuten, C., & Metsemakers, J. (2008). Understanding the influence of emotions and reflection upon multi-source feedback acceptance and use. Advances in Health Sciences Education : Theory and Practice, 13(3), 275–288. 17091339.

[51]

Schindler, R. M., & Bickart, B. (2012). Perceived helpfulness of online consumer reviews: The role of message content and style. Journal of Consumer Behaviour, 11(3), 234–243.

[52]

Segal, J., Sacopulos, M., Sheets, V., Thurston, I., Brooks, K., & Puccia, R. (2012). Online doctor reviews: Do they track surgeon volume, a proxy for quality of care? Journal of Medical Internet Research, 14(2), e50. 22491423.

[53]

Sethna, B. N., Hazari, S., & Bergiel, B. (2017). Influence of user generated content in online shopping: Impact of gender on purchase behaviour, trust, and intention to purchase. International Journal of Electronic Marketing and Retailing, 8(4), 344–371.

[54]

Singh, J. P., Irani, S., Rana, N. P., Dwivedi, Y. K., Saumya, S., & Roy, P. K. (2017). Predicting the “helpfulness” of online consumer reviews. Journal of Business Research, 70, 346–355.

[55]

Stamolampros, P., Korfiatis, N., Kourouthanassis, P., & Symitsi, E. (2019). Flying to quality: Cultural influences on online reviews. Journal of Travel Research, 58(3), 496–511.

[56]

Tang, X., & Zhong, T. (2022). Research on COVID-19 Prevention and Control Model Based on Evolutionary Games. [JGIM]. Journal of Global Information Management, 30(10), 1–17.

Digital Library

[57]

Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117(2), 440–463. 20438233.

[58]

Trope, Y., Liberman, N., & Wakslak, C. (2007). Construal levels and psychological distance: Effects on representation, prediction, evaluation, and behavior. Journal of Consumer Psychology, 17(2), 83–95. 21822366.

[59]

Tsao, W. C., Hsieh, M. T., Shih, L. W., & Lin, T. M. (2015). Compliance with eWOM: The influence of hotel reviews on booking intention from the perspective of consumer conformity. International Journal of Hospitality Management, 46, 99–111.

[60]

Wang, Y., Wang, Z., Zhang, D., & Zhang, R. (2019). Discovering cultural differences in online consumer product reviews. Journal of Electronic Commerce Research, 20(3), 169–183.

[61]

Widmer, R. J., Maurer, M. J., Nayar, V. R., Aase, L. A., Wald, J. T., Kotsenas, A. L., Timimi, F. K., Harper, C. M., & Pruthi, S. (2018, April). Online physician reviews do not reflect patient satisfaction survey responses. In Mayo Clinic Proceedings, 93(4), 453–457. Elsevier.

[62]

Xanthidis, D., & Xanthidou, O. K. (2021). A proposed framework for developing an electronic medical record system. [JGIM]. Journal of Global Information Management, 29(4), 78–92.

[63]

Xia, H., Xiong, G., & Weng, J. (2020). Influential factors of knowledge sharing of multinational E-Health service based on 24HrKF. [JGIM]. Journal of Global Information Management, 28(4), 52–73.

Digital Library

[64]

Xiao, L., & Li, Y. (2019). Examining the effect of positive online reviews on consumers’ decision making: The valence framework. [JGIM]. Journal of Global Information Management, 27(3), 159–181.

Digital Library

[65]

Xiao, L., Mou, J., & Huang, L. (2021). Factors influencing Chinese online health service use: A valence framework perspective. [JGIM]. Journal of Global Information Management, 29(5), 138–160.

[66]

Yang, R., Pepper, G. A., Wang, H., Liu, T., Wu, D., & Jiang, Y. (2020). The mediating role of power distance and face-saving on nurses’ fear of medication error reporting: A cross-sectional survey. International Journal of Nursing Studies, 105, 103494. 32203755.

[67]

Yegian, J. M., Dardess, P., Shannon, M., & Carman, K. L. (2013). Engaged patients will need comparative physician-level quality data and information about their out-of-pocket costs. Health Affairs, 32(2), 328–337. 23381526.

[68]

Zhu, D. H., Ye, Z. Q., & Chang, Y. P. (2017). Understanding the textual content of online customer reviews in B2C websites: A cross-cultural comparison between the US and China. Computers in Human Behavior, 76, 483–493.

Digital Library

[69]

Zhu, Y., Freeman, S., & Cavusgil, S. T. (2018). Service quality delivery in a cross-national context. International Business Review, 27(5), 1022–1032.

Cited By

Cui YZhu JGu MLi J(2024)Adoption of Mobile Health Applications for Diabetes Management From a Push–Pull–Mooring PerspectiveJournal of Global Information Management10.4018/JGIM.34751432:1(1-21)Online publication date: 7-Aug-2024
https://dl.acm.org/doi/10.4018/JGIM.347514
Lin SChang THsu M(2023)Valuing and Risk Analysis for Supply Chain ManagementJournal of Global Information Management10.4018/JGIM.32786631:1(1-25)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.4018/JGIM.327866

Index Terms

Valuing Your Patient's Opinion: Online Patient Reviews and Power Distance

Index terms have been assigned to the content through auto-classification.

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cover image Journal of Global Information Management

Journal of Global Information Management Volume 31, Issue 1

Feb 2023

1381 pages

ISSN:1062-7375

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Published: 09 June 2023

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Cited By

Cui YZhu JGu MLi J(2024)Adoption of Mobile Health Applications for Diabetes Management From a Push–Pull–Mooring PerspectiveJournal of Global Information Management10.4018/JGIM.34751432:1(1-21)Online publication date: 7-Aug-2024
https://dl.acm.org/doi/10.4018/JGIM.347514
Lin SChang THsu M(2023)Valuing and Risk Analysis for Supply Chain ManagementJournal of Global Information Management10.4018/JGIM.32786631:1(1-25)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.4018/JGIM.327866

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