Online Health Information-Seeking Behaviour among People of African Descent in the United Kingdom: A Qualitative Study
Abstract
:1. Introduction
2. Methods
2.1. Sampling and Recruitment Process
2.2. Eligibility Requirements
2.3. Ethics Approval
2.4. Data Collection
2.5. Data Analysis
2.6. Sample Size Determination
3. Results
3.1. Demographic Characteristics of Respondents
3.2. Participant Selection
3.3. Identified Themes
3.3.1. Internet Usage and Preferences
3.3.2. Attitude towards Social Media
3.3.3. Barriers to Seeking Health Information Online
3.3.4. Trust and Reliability of Online Information
3.3.5. Cultural Influences on Online HISB
4. Discussion
4.1. Gender Distribution and Online HISB
4.2. Ethnic Backgrounds and Online HISB
4.3. Cultural Influence on Online HISB
4.4. Internet Access and Usability
4.5. Frequency and Preferences for Online Health Information
4.6. Role of Social Media in Health Information Seeking
4.7. Perceived Barriers to Seeking Health Information Online and Possible Solutions
4.8. Study Strengths and Limitations
4.9. Key Implications
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Ajuwon, G.A.; Popoola, S.O. Influence of Motivational Factors on Utilisation of Internet Health Information Resources by Resident Doctors in Nigeria. Electron. Libr. 2021, 33, 103–119. [Google Scholar] [CrossRef]
- Gomes Alves, P.; Petersen, I.; Stevenson, F. Searching for Information on the Risks of Combined Hormonal Contraceptives on the Internet: A Qualitative Study across Six European Countries. J. Med. Internet Res. 2019, 21, e10810. [Google Scholar] [CrossRef]
- Prescott, C. Internet Access—Households and Individuals, Great Britain 2020; Office for National Statistics: London, UK, 2020. [Google Scholar]
- Lagoe, C.; Atkin, D. Health Anxiety in the Digital Age: An Exploration of Psychological Determinants of Online Health Information Seeking. Comput. Hum. Behav. 2015, 52, 484–491. [Google Scholar] [CrossRef]
- Office for National Statistics. Census 2022; Office for National Statistics: London, UK, 2022. [Google Scholar]
- Lee, Y.J.; Boden-Albala, B.; Larson, E.; Wilcox, A.; Bakken, S. Online Health Information Seeking Behaviors of Hispanics in New York City: A Community-Based Cross-Sectional Study. J. Med. Internet Res. 2014, 16, e176. [Google Scholar] [CrossRef] [PubMed]
- Maon, S.N.; Hassan, N.M.; Seman, S.A. Online health information seeking behavior pattern. Adv. Sci. Lett. 2017, 23, 10582–10585. [Google Scholar] [CrossRef]
- Abukari, Z. The Use of Internet for Seeking Health Information among Narh-Bita College Students: A Cross-Sectional Study. Am. J. Inf. Sci. Technol. 2021, 5, 19. [Google Scholar] [CrossRef]
- Osei Asibey, B.; Agyemang, S.; Boakye Dankwah, A. The Internet Use for Health Information Seeking among Ghanaian University Students: A Cross-Sectional Study. Int. J. Telemed. Appl. 2017, 2017, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Lambert, S.D.; Loiselle, C.G. Health information—Seeking behavior. Qual. Health Res. 2007, 17, 1006–1019. [Google Scholar] [CrossRef] [PubMed]
- Yang, Q.; Stee, S.K. Health Information Seeking. In The International Encyclopedia of Health Communication; Wiley: Hoboken, NJ, USA, 2022; pp. 1–5. [Google Scholar]
- Pesälä, S.; Virtanen, M.J.; Sane, J.; Mustonen, P.; Kaila, M.; Helve, O. Health Information–Seeking Patterns of the General Public and Indications for Disease Surveillance: Register-Based Study Using Lyme Disease. JMIR Public. Health Surveill. 2017, 3, e86. [Google Scholar] [CrossRef] [PubMed]
- Jung, M. Determinants of Health Information-Seeking Behavior: Implications for Post-Treatment Cancer Patients. Asian Pac. J. Cancer Prev. 2014, 15, 6499–6504. [Google Scholar] [CrossRef]
- Chen, Y.-Y. Health Information Obtained from the Internet and Changes in Medical Decision Making: Questionnaire Development and Cross-Sectional Survey. J. Med. Internet Res. 2018, 20, e47. [Google Scholar] [CrossRef] [PubMed]
- Jia, X.; Pang, Y.; Liu, L.S. Online Health Information Seeking Behavior: A Systematic Review. Healthcare 2021, 9, 1740. [Google Scholar] [CrossRef] [PubMed]
- Iacobucci, G. Most Black People in UK Face Discrimination from Healthcare Staff, Survey Finds. BMJ 2022, 378, o2337. [Google Scholar] [CrossRef] [PubMed]
- Duque, R.B. Black Health Matters Too… Especially in the Era of Covid-19: How Poverty and Race Converge to Reduce Access to Quality Housing, Safe Neighborhoods, and Health and Wellness Services and Increase the Risk of Co-Morbidities Associated with Global Pandemics. J. Racial Ethn. Health Disparities 2020, 8, 1012–1025. [Google Scholar] [CrossRef] [PubMed]
- Etikan, I.; Musa, S.A.; Alkassim, R.S. Comparison of Convenience Sampling and Purposive Sampling Comparison of Convenience Sampling and Purposive Sampling. Am. J. Theor. Appl. Stat. 2016, 5, 1–4. [Google Scholar] [CrossRef]
- Patton, M.Q. Qualitative Research and Evaluation Methods: Theory and Practice, 4th ed.; SAGE Publications, Inc.: Thousand Oaks, CA, USA, 2015. [Google Scholar]
- Archibald, M.M.; Ambagtsheer, R.C.; Casey, M.G.; Lawless, M. Using Zoom Videoconferencing for Qualitative Data Collection: Perceptions and Experiences of Researchers and Participants. Int. J. Qual. Methods 2019, 18, 160940691987459. [Google Scholar] [CrossRef]
- Oliffe, J.L.; Kelly, M.T.; Gonzalez Montaner, G.; Yu Ko, W.F. Zoom Interviews: Benefits and Concessions. Int. J. Qual. Methods 2021, 20, 160940692110535. [Google Scholar] [CrossRef]
- McMullin, C. Transcription and Qualitative Methods: Implications for Third Sector Research. Voluntas 2023, 34, 140–153. [Google Scholar] [CrossRef] [PubMed]
- Braun, V.; Clarke, V. Reflecting on Reflexive Thematic Analysis. Qual. Res. Sport. Exerc. Health 2019, 11, 589–597. [Google Scholar] [CrossRef]
- Clarke, V.; Braun, V. Some Very Important Starting Information. In Successful Qualitative Research: A Practical Guide for Beginners; SAGE Publications, Inc.: Thousand Oaks, CA, USA, 2013. [Google Scholar]
- Byrne, D. A Worked Example of Braun and Clarke’s Approach to Reflexive Thematic Analysis. Qual. Quant. 2021, 56, 1391–1412. [Google Scholar] [CrossRef]
- Braun, V.; Clarke, V. One Size Fits All? What Counts as Quality Practice in (Reflexive) Thematic Analysis? Qual. Res. Psychol. 2021, 18, 328–352. [Google Scholar] [CrossRef]
- Braun, V.; Clarke, V. Thematic Analysis: A Practical Guide. QMiP Bull. 2022, 1, 46–50. [Google Scholar] [CrossRef]
- Baker, S.E.; Edwards, R. How Many Qualitative Interviews Is Enough? Expert Voices and Early Career Reflections on Sampling and Cases in Qualitative Research; NCRM Methods Review; NCRM: Southampton, UK, 2012. [Google Scholar]
- Hennink, M.; Kaiser, B. Sample Sizes for Saturation in Qualitative Research: A Systematic Review of Empirical Tests. Soc. Sci. Med. 2022, 292, 114523. [Google Scholar] [CrossRef] [PubMed]
- Hennink, M.M.; Kaiser, B.N.; Marconi, V.C. Code Saturation Versus Meaning Saturation: How Many Interviews Are Enough? Qual. Health Res. 2017, 27, 591–608. [Google Scholar] [CrossRef] [PubMed]
- Braun, V.; Clarke, V. To Saturate or Not to Saturate? Questioning Data Saturation as a Useful Concept for Thematic Analysis and Sample-Size Rationales. Qual. Res. Sport. Exerc. Health 2021, 13, 201–216. [Google Scholar] [CrossRef]
- Sim, J.; Saunders, B.; Waterfield, J.; Kingstone, T. Can Sample Size in Qualitative Research Be Determined a Priori? Int. J. Soc. Res. Methodol. 2018, 21, 619–634. [Google Scholar] [CrossRef]
- Malterud, K.; Siersma, V.D.; Guassora, A.D. Sample Size in Qualitative Interview Studies: Guided by Information Power. Qual. Health Res. 2016, 26, 1753–1760. [Google Scholar] [CrossRef] [PubMed]
- Green, J.; Thorogood, N. Qualitative Methods for Health Research; SAGE Publications, Inc.: Thousand Oaks, CA, USA, 2018. [Google Scholar]
- O’Reilly, M.; Parker, N. “Unsatisfactory Saturation”: A Critical Exploration of the Notion of Saturated Sample Sizes in Qualitative Research. Qual. Res. 2013, 13, 190–197. [Google Scholar] [CrossRef]
- Dunn, K.M.; Jordan, K.; Lacey, R.J.; Shapley, M.; Jinks, C. Patterns of Consent in Epidemiologic Research: Evidence from over 25,000 Responders. Am. J. Epidemiol. 2004, 159, 1087–1094. [Google Scholar] [CrossRef] [PubMed]
- Galea, S.; Tracy, M. Participation Rates in Epidemiologic Studies. Ann. Epidemiol. 2007, 17, 643–653. [Google Scholar] [CrossRef]
- Phillips, S.P. Including Gender in Public Health Research. Public Health Rep. 2011, 126, 16–21. [Google Scholar] [CrossRef] [PubMed]
- Rowley, J.; Johnson, F.; Sbaffi, L. Gender as an Influencer of Online Health Information-Seeking and Evaluation Behavior. J. Assoc. Inf. Sci. Technol. 2017, 68, 36–47. [Google Scholar] [CrossRef]
- Sun, B.; Mao, H.; Yin, C. Male and Female Users’ Differences in Online Technology Community Based on Text Mining. Front. Psychol. 2020, 11, 806. [Google Scholar] [CrossRef]
- Zhang, Q.; Yu, Y.; He, J.; Yao, X.; He, Y.; Wu, J.; Xu, C.; Ye, C. Did the COVID-19 Pandemic Impact Urticaria Information-Seeking Behavior in China? A Retrospective Longitudinal Study. Front. Public Health 2023, 11, 1098066. [Google Scholar] [CrossRef] [PubMed]
- Betancourt, J.R.; Green, A.R.; Carrillo, J.E.; Ananeh-Firempong, O. Defining Cultural Competence: A Practical Framework for Addressing Racial/Ethnic Disparities in Health and Health Care. Public Health Rep. 2003, 118, 293–302. [Google Scholar] [CrossRef] [PubMed]
- Demirci, Ş.; Uğurluoğlu, Ö.; Konca, M.; Çakmak, C. Socio-demographic Characteristics Affect Health Information Seeking on the Internet in Turkey. Health Inf. Libr. J. 2021, 38, 304–312. [Google Scholar] [CrossRef] [PubMed]
- Ghahramani, F.; Wang, J. Impact of Smartphones on Quality of Life: A Health Information Behavior Perspective. Inf. Syst. Front. 2019, 22, 1275–1290. [Google Scholar] [CrossRef]
- Kim, H.; Paige Powell, M.; Bhuyan, S.S. Seeking Medical Information Using Mobile Apps and the Internet: Are Family Caregivers Different from the General Public? J. Med. Syst. 2017, 41, 38. [Google Scholar] [CrossRef] [PubMed]
- Basch, C.H.; Basch, C.E.; Ruggles, K.V.; Hammond, R. Coverage of the Ebola Virus Disease Epidemic on YouTube. Disaster Med. Public. Health Prep. 2015, 9, 531–535. [Google Scholar] [CrossRef] [PubMed]
- Hamill, S.; Turk, T.; Murukutla, N.; Ghamrawy, M.; Mullin, S. I ‘like’ MPOWER: Using Facebook, Online Ads and New Media to Mobilise Tobacco Control Communities in Low-Income and Middle-Income Countries. Tob. Control 2013, 24, 306–312. [Google Scholar] [CrossRef]
- Oyeyemi, S.O.; Gabarron, E.; Wynn, R. Ebola, Twitter, and Misinformation: A Dangerous Combination? BMJ 2014, 349, g6178. [Google Scholar] [CrossRef] [PubMed]
- Augustaitis, L. Online Transgender Health Information Seeking: Facilitators, Barriers, and Future Directions. In Proceedings of the CHI ‘21: CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, 8–13 May 2021. [Google Scholar]
- Xuexia, W.E.I.; Zhiyin, D.U.; Zhang, S. Analysis of Barriers to Health Information Seeking and Utilizing in Patients with Diabetes. Cross-Cult. Commun. 2016, 12, 45–48. [Google Scholar]
- Bernadas, J.M.; Jiang, L.C. Explaining Online Health Information Seeking of Foreign Domestic Workers: A Test of the Comprehensive Model of Information Seeking. Health Technol. 2018, 9, 7–16. [Google Scholar] [CrossRef]
- Sagaro, G.G.; Battineni, G.; Amenta, F. Barriers to Sustainable Telemedicine Implementation in Ethiopia: A Systematic Review. Telemed. Rep. 2020, 1, 8–15. [Google Scholar] [CrossRef] [PubMed]
- Dodoo, J.E.; Al-Samarraie, H.; Alzahrani, A.I. Telemedicine Use in Sub-Saharan Africa: Barriers and Policy Recommendations for Covid-19 and Beyond. Int. J. Med. Inf. 2021, 151, 104467. [Google Scholar] [CrossRef]
Variable | n | % |
---|---|---|
Gender | ||
Female | 14 | 67 |
Male | 7 | 33 |
Ethnicity | ||
African | 11 | 52 |
Afro-Caribbean | 10 | 48 |
Age range (years) | ||
20–29 | 3 | 14 |
30–39 | 4 | 19 |
40–49 | 7 | 33 |
50–59 | 3 | 14 |
60–69 | 3 | 14 |
70+ | 1 | 5 |
Device used to Access the Internet | ||
Smartphone | 21 | 100 |
Laptop | 9 | 43 |
Desktop | 8 | 38 |
Tablet | 7 | 33 |
Wearables | 7 | 33 |
Smart TV | 6 | 29 |
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Usman, J.E.; Childs, C.; Rogerson, D.; Klonizakis, M. Online Health Information-Seeking Behaviour among People of African Descent in the United Kingdom: A Qualitative Study. Healthcare 2024, 12, 897. https://doi.org/10.3390/healthcare12090897
Usman JE, Childs C, Rogerson D, Klonizakis M. Online Health Information-Seeking Behaviour among People of African Descent in the United Kingdom: A Qualitative Study. Healthcare. 2024; 12(9):897. https://doi.org/10.3390/healthcare12090897
Chicago/Turabian StyleUsman, Jesse Enebi, Charmaine Childs, David Rogerson, and Markos Klonizakis. 2024. "Online Health Information-Seeking Behaviour among People of African Descent in the United Kingdom: A Qualitative Study" Healthcare 12, no. 9: 897. https://doi.org/10.3390/healthcare12090897
APA StyleUsman, J. E., Childs, C., Rogerson, D., & Klonizakis, M. (2024). Online Health Information-Seeking Behaviour among People of African Descent in the United Kingdom: A Qualitative Study. Healthcare, 12(9), 897. https://doi.org/10.3390/healthcare12090897