Information seeking about COVID-19 and associated factors among chronic patients in Bahir Dar city public hospitals, Northwest Ethiopia: a cross-sectional study

Kassie, Sisay Yitayih; Yilma, Tesfahun Melese; Handebo, Simegnew; Sebastian, Yakub; Ngusie, Habtamu Setegn

doi:10.1186/s12879-022-07315-4

Cited by 7 publications

(6 citation statements)

References 43 publications

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“…This information is crucial to understand the true use of the website and develop initiatives that target poorly engaged populations. Previously, several factors have been linked to information seeking about COVID-19, including living in an urban area, perceived disease susceptibility, perceived disease severity, higher self-efficacy, and higher health literacy [ 20 ].…”

Section: Discussionmentioning

confidence: 99%

“…Characterizing the knowledge seeking behaviors of individuals recovering from COVID-19 is likely to provide insight into the symptoms individuals are experiencing and the health care support required. Currently, information seeking behaviors in relation to COVID-19 remain largely unknown [ 20 ]. Therefore, the aim of this study was to assess usage patterns of the Your COVID Recovery website to understand public use and user behavior during its first year of operation.…”

Section: Introductionmentioning

confidence: 99%

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Public Use of the “Your COVID Recovery” Website Designed to Help Individuals Manage Their COVID-19 Recovery: Observational Study

Baldwin¹,

Daynes²,

Chaplin³

et al. 2023

JMIR Form Res

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Background At the start of the COVID-19 pandemic, unprecedented pressure was placed on health care services globally. An opportunity to alleviate this pressure was to introduce a digital health platform that provided COVID-19–related advice and helped individuals understand and manage their COVID-19 symptoms. Therefore, in July 2020, the Your COVID Recovery website was launched by the National Health Service of England with the aim of creating a practical tool that provides advice and support to individuals recovering from COVID-19. The website includes information on many of the key COVID-19 symptoms. To date, public use of the Your COVID Recovery website and user behavior remain unknown. However, this information is likely to afford insight into the impact of the website and most commonly experienced COVID-19 symptoms. Objective This study aimed to evaluate public use of the Your COVID Recovery website, a digital health platform that provides support to individuals recovering from COVID-19, and determine user behavior during its first year of operation. Methods Google Analytics software that was integrated into the Your COVID Recovery website was used to assess website use and user behavior between July 31, 2020, and July 31, 2021. Variables that were tracked included the number of users, user country of residence, traffic source, number of page views, number of session views, and mean session duration. User data were compared to COVID-19 case data downloaded from the UK government’s website. Results During the study period, 2,062,394 users accessed the Your COVID Recovery website. The majority of users were located in the United Kingdom (1,265,061/2,062,394, 61.30%) and accessed the website via a search engine (1,443,057/2,062,394, 69.97%). The number of daily website users (n=15,298) peaked on January 18, 2021, during the second wave of COVID-19 in the United Kingdom. The most frequently visited pages after the home page were for the following COVID-19 symptoms: Cough (n=550,190, 12.17%), Fatigue (n=432,421, 9.56%), Musculoskeletal pain (n=406,859, 9.00%), Taste and smell (n=270,599, 5.98%), and Breathlessness (n=203,136, 4.49%). The average session duration was 1 minute 13 seconds. Conclusions A large cohort of individuals actively sought help with their COVID-19 recovery from the website, championing the potential of this tool to target an unmet health care need. User behavior demonstrated that individuals were primarily seeking advice on how to relieve and manage COVID-19 symptoms, especially symptoms of cough, fatigue, and musculoskeletal pain. COVID-19 rehabilitation programs should use the results of this study to ensure that the program content meets the needs of the post–COVID-19 population.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Public Use of the “Your COVID Recovery” Website Designed to Help Individuals Manage Their COVID-19 Recovery: Observational Study

Baldwin¹,

Daynes²,

Chaplin³

et al. 2023

JMIR Form Res

View full text Add to dashboard Cite

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“…A review of literature reveals possible factors which may confound the relationship of socioeconomic factors to COVID-19 response related outcomes [53][54][55][56][57][58]. Among these, the following variables were considered in the analysis: sex (male or female), age (categorized as < 20, 21-30,31-40, 41-50, 51-60, and 60 and above), area of residence (urban or rural), household size (number of de jure household members categorized as 1-3, 4-6, 7 and above), relationship to household head (categorized as self, spouse, child, or others), awareness of programs on COVID-19 (defined as awareness of free vaccination and COVID-19 testing and classified as aware or unaware), belief that COVID-19 can be prevented (defined as one's belief that COVID-19 can be prevented through vaccination or other social measures and classified as believing or does not believe) and use of internet (defined as use of internet for health-related reasons and classified as yes or no).…”

Section: Confoundersmentioning

confidence: 99%

Unraveling socioeconomic determinants of health-related behavior, reception of information, and perceptions on disease disclosure at the time of the COVID-19 pandemic: did health insurance curb the disparities in the Philippines?

Estrada

2024

BMC Public Health

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Background The study uncovers micro and macro socioeconomic disparities in terms of health behavior, disease perception, and reception of information. Furthermore, findings shed light on the possible role of health insurance on access to information, disease perception and the adoption of preventive behaviors in the context of a public health emergency such as the COVID-19 pandemic. Methods This study employed a cross-sectional design using the Philippine Demographic and Health Survey (DHS). With a total of 29,809 respondents, it evaluated the individual or household and systemwide socioeconomic determinants of four different outcomes: receipt of information, disease perception, uptake of free preventive services, and treatment-seeking behavior. In addition to logistic regression models with the socioeconomic variables as the independent variables, models for the evaluation of the moderating effect of insurance ownership were fitted. Predicted probabilities were reported for the analysis of moderating effects. Results Findings show that individual and householdsocioeconomic determinants affected health-behavior and access to or receipt of information pertinent to the COVID-19 pandemic. Both education and wealth affected the receipt of information such that individuals in more advantaged socioeconomic positions were at least 30% more likely to have received information on COVID-19. Wealth was also associated to treatment-seeking behavior. Regional differences were seen across all dependent variables. Moreover, the study provides evidence that ownership of insurance can close education-based gaps in the uptake of free vaccination and COVID-19 testing. Conclusion It is imperative that targeted efforts be maximized by utilizing existing strategies and mechanisms to reach the marginalized and disadvantaged segments of the population. Health insurance may give off added benefits that increase proficiency in navigating through the healthcare system. Further research may focus on examining pathways by which health insurance or social policies may be used to leverage responses to public health or environmental emergencies.

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“…Respondents were asked the question have you ever sought information about HBV purposely from different sources in the past 9 months? Subsequently, Respondents were asked about HBV information sources, types of HBV information, and reasons for seeking HBV information [8][9][10].…”

Section: Operational Definitionmentioning

confidence: 99%

Information seeking behavior on hepatitis B virus, and its associated factors among pregnant women at teaching and specialized hospitals, Northwest Ethiopia: A cross-sectional study

Shibabaw,

Tegegne,

Walle

et al. 2024

PLoS ONE

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Introduction Hepatitis B virus (HBV) infection continues to be a major public health issue worldwide. Health information-seeking behavior is critical to obtain information about health, diseases such as the Hepatitis B virus, health risks, and health promotion and it has become a major concern of health policymakers. However, there is little evidence of information-seeking behavior on the Hepatitis B virus in Ethiopia. So, this study aimed to assess Hepatitis B virus information-seeking behavior and its associated factors among pregnant women at teaching and Specialized Hospitals, in Northwest Ethiopia. Methods An institution-based cross-sectional study was conducted among pregnant women at teaching and specialized hospitals, in Northwest Ethiopia from May 01 to June 01, 2022. A total of 423 participants were selected using a systematic random sampling method. The data was collected through an interview-administered questionnaire by kobo-collect software. Then export into SPSS version 20 for analysis. Descriptive statistics, bi-variable, and multivariable logistic regression analyses were done to identify factors associated with Hepatitis B virus information-seeking behavior. Results The proportion of information-seeking behavior on the Hepatitis B virus among pregnant women was 40.5% (CI = 35.7, 45.6). Education(diploma and above) [AOR = 3.3, 95% CI (1.31, 8.16)], more than one ANC visit [AOR = 5.99, 95% CI (3.20, 12.31)], smart-phone ownership [AOR = 4.1, 95%CI (1.35, 12.31)], internet access [AOR = 5.1, 95%CI (1.35, 15.60)], perceived susceptibility [AOR = 2.7, 95%CI (1.38, 5.31)], perceived severity [AOR = 3.7, 95%CI (2.06, 6.55)], and self-efficacy [AOR = 1.9, 95%CI (1.03, 3.73)] were factors influencing information seeking on Hepatitis B virus. Conclusion The overall proportion of information-seeking behavior on HBV among pregnant women was low. To improve information-seeking behavior on HBV among pregnant women we should connect the women to the internet and technology. Creating women’s awareness about the Hepatitis B virus severity and their venerability and increasing their antenatal care (ANC) visits, self-efficacy, internet access, and women’s education can improve information seeking about the Hepatitis B virus.

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Information seeking about COVID-19 and associated factors among chronic patients in Bahir Dar city public hospitals, Northwest Ethiopia: a cross-sectional study

Cited by 7 publications

References 43 publications

Public Use of the “Your COVID Recovery” Website Designed to Help Individuals Manage Their COVID-19 Recovery: Observational Study

Public Use of the “Your COVID Recovery” Website Designed to Help Individuals Manage Their COVID-19 Recovery: Observational Study

Unraveling socioeconomic determinants of health-related behavior, reception of information, and perceptions on disease disclosure at the time of the COVID-19 pandemic: did health insurance curb the disparities in the Philippines?

Information seeking behavior on hepatitis B virus, and its associated factors among pregnant women at teaching and specialized hospitals, Northwest Ethiopia: A cross-sectional study

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