The impact of the covid-19 pandemic on anxiety, health literacy, and eHealth literacy in 2020 related to healthcare behavior in Thailand

Suanrueang, Passakorn; Suen, Mein‐Woei; Lin, Hao; Er, Tze‐Kiong; Jamora, Maria Michaela Quilang

doi:10.55131/jphd/2022/200115

Cited by 4 publications

(13 citation statements)

References 27 publications

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“…Some of these factors studied were health information seeking (Bagherzadeh et al, 2021;Chew & Chng, 2021;Stewart et al, 2004), health knowledge, health education, health information search, and informational experience (Ben Ayed & El Aoud, 2021;Noor et al, 2014), health communication (Han et al, 2014;J. Liu et al, 2020;Seiter & Brophy, 2020;Son et al, 2017), message framing (Bahety et al, 2021;Luoto et al, 2014;Siu, 2007;Wadhwa & Zhang, 2019), virtual reality technology (Choi & Noh, 2020), e-health literacy (Suanrueang et al, 2022), and nudge (Bronchetti et al, 2015). These factors were related to the information search carried out by consumers to make an informed PHB adoption decision.…”

Section: Theory References Amentioning

confidence: 99%

“…Cost-effectiveness analysis can help identify opportunities that are sometimes neglected and possess gains in health at a relatively lower cost. (Jayanti & Burns, 1998;Yap et al, 2014), health value (Hurdle, 1998), risk perception (Dao & Lim, 2022;Dinoff & Kowalski, 1999;Fish, 2009;Lobello & Underhill, 2012;Meischke et al, 2000;Samadipour et al, 2022), message framing (Siu, 2007;Wadhwa & Zhang, 2019), attitude, health knowledge (Goodwin et al, 2019;Roters et al, 2010;Zhang et al, 2017), and health literacy (Joseph & Fleary, 2021;Suanrueang et al, 2022). Other critical personal factors also came under the characteristics section of the TCCM framework-based analysis performed in Study-2.…”

Section: Future Research Agendamentioning

confidence: 99%

“…Other psychological predictors include self‐efficacy (Horwath et al, 2013; Leiferman & Pheley, 2006; Sriyakul & Jermsittiparsert, 2021; Stewart et al, 2004), comparative optimism, personality (Peltzer, 2004), attitude (Goodwin et al, 2019; Zhang et al, 2017). Perceived benefits (Marquet et al, 2021), perceived barriers (Lewandowski et al, 2011; Richards, 2016; Tanner‐Smith & Brown, 2010), anger (Pérez‐García et al, 2011), sense of coherence (Merakou et al, 2012), health literacy (Joseph & Fleary, 2021; Suanrueang et al, 2022), health status (Ownby et al, 2012), perceived threat (Jones et al, 2013; Vuong et al, 2019), job demands and resources (Pedersen, 2015) are factors that examine psychological predictors in the light of external pressures such as employment or job‐related stress. These pressures can lead to LDs if not mitigated through timely PHB adoption.…”

Section: Study Findingsmentioning

confidence: 99%

“…Enjoyment of competition, fear of competition (Keresztes et al, 2015), tactile sensitivity (Hunt et al, 2017), masculinity belief (self‐presentation, self‐reliance, risk‐taking) (Christy et al, 2017), altruism (Wilson, 2018), role strain and role compartmentalization (Quah, 2020), emotionality (Fernández‐Abascal & Martín‐Díaz, 2015; Keren et al, 2021; Otterbring et al, 2021); intolerance of uncertainty and psychological distress (O'Brien et al, 2021) were factors that caught the attention of researchers in the last decade. Trust (Bayram & Shields, 2021), insurance expansion (De, 2021), anxiety (Suanrueang et al, 2022), perceived susceptibility and personal identity (Shahnawaz et al, 2023), the meaning of life, health locus of control (Nie et al, 2022), personality traits like agreeableness and conscientiousness (Otterbring & Festila, 2022), self‐perceptions (Ayalon & Cohn‐Schwartz, 2022), time patterns (Bíró et al, 2022), fatalism (Dallo & Kindratt, 2015; Hunter et al, 2007; Sanders Thompson et al, 2009; Silberbogen et al, 2014), uncertainty discrepancy (Crowley et al, 2021; Griffin & Dunwoody, 2000; Krieger et al, 2013; Niu et al, 2022; Yoo et al, 2018), worry, regret, environmental and psychosocial characteristics (Chapman & Coups, 2006; Gerend & Shepherd, 2007; Han et al, 2014; J. Liu et al, 2020; Orbell & Kyriakaki, 2008; Seiter & Brophy, 2020; Son et al, 2017) are also studied to understand PHB. Other significant predictors include maladaptive perfectionism, narrative persuasion (Ingledew & Brunning, 1999; S. Liu et al, 2021; C. H. Liu et al, 2022), trauma exposure (Lee & Park, 2018), and dispositional vulnerability (Kapoor & Singhal, 2021).…”

Section: Study Findingsmentioning

confidence: 99%

See 3 more Smart Citations

Preventive healthcare behavior: A hybrid systematic literature review (1998–2023)

De,

Sondhi,

Bhattacharjee

et al. 2023

Int J Consumer Studies

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Preventive healthcare behavior (PHB) refers to actions taken by consumers to avert possible incidences of lifestyle diseases. Over the years, diverse approaches have been used to comprehend the complex nature of PHB. This paper follows a three‐step process to examine work done in the PHB domain. At the outset, past literature was examined. This review included PHB models and frameworks, followed by a root‐cause analysis to identify factors that impacted PHB adoption. A systematic literature review (SLR) using a domain‐based hybrid review approach was the study's third and most crucial part. The SPAR‐4‐SLR (scientific procedures and rationales for systematic literature reviews) protocol was used to conduct the hybrid review, involving two separate review studies. In the first study, a bibliometric analysis was carried out, wherein a trend analysis was conducted on an initial pool of 1011 primary peer‐reviewed publications (1998–2023). The trend analysis was followed by a co‐citation network analysis of 39,608 secondary articles, which validated the importance of primary articles as indicated by the co‐citations in these secondary articles. Further, a purification process based on reliability, validity, and replicability criteria resulted in a final pool of 190 relevant articles. These articles were subjected to a thematic analysis. Next, a framework‐based review based on the theories, contexts, characteristics, and methods (TCCM) framework was conducted on the 190 articles. This step validated the primary study findings. Additionally, it examined and reported the underlying theories, context (country level), characteristics, and methods adopted by previous PHB studies. This analysis helps in indicating the future research agenda regarding PHB. Furthermore, the inferences drawn from the two studies were used to propose a conceptual framework for understanding consumers' PHB decisions based on the antecedents, decisions, and outcomes (ADO) framework. The framework posits that specific personal, demographic, cultural, social and socioeconomic factors are precursors to PHB adoption. This PHB adoption, in turn, has positive outcomes such as enhanced quality of life, consumer wellbeing, health promotion, health behavior change, and planning. The comprehensive review and proposed framework will significantly help advance knowledge about PHB. Apart from contributing to the academic literature, learnings from this study hold value for practitioners at the global level for designing actionable strategies for preventive healthcare products and services.

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Section: Theory References Amentioning

confidence: 99%

Section: Future Research Agendamentioning

confidence: 99%

Section: Study Findingsmentioning

confidence: 99%

Section: Study Findingsmentioning

confidence: 99%

See 2 more Smart Citations

Preventive healthcare behavior: A hybrid systematic literature review (1998–2023)

De,

Sondhi,

Bhattacharjee

et al. 2023

Int J Consumer Studies

View full text Add to dashboard Cite

show abstract

“…The symptoms of anxiety and stress related to the COVID-19 outbreak and the relative risk factors were involving participant characteristics and sociodemographic characteristics. 3,4 During COVID-19 outbreaks, health literacy played a role as a social vaccine 5 in empowering people at the individual and community levels by creating an understanding of information and using the information to think and appropriately modify behaviors, because health literacy is a personal skill 6,7,8,9 . High health literacy caused mortality rates to be low 10 and helped to reduce hospital admissions 11 .…”

Section: Introductionmentioning

confidence: 99%

Health literacy, anxiety and stress among people during Coronavirus-2019 pandemic at the northern of Thailand

Srisookkum

Juwa

Katkhaw

et al. 2022

JPHD

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COVID-19 outbreaks have caused anxiety and stress for the world and Thailand. Low health literacy can cause higher mortality rates. This study investigated stress levels, anxiety, health literacy and predictive factors, creating an equation to predict stress in the upper northern region of Thailand. The sample was 400 people aged over 18 years in Phayao Province, Northern Thailand, selected by multi-stage cluster sampling. The instruments were interview guidelines. Data were collected on 1-30 January 2021 and analyzed with descriptive analysis and univariate analysis by using chi-square test, Phi, Cramer’s V, Spearman’s Rank Correlation and multiple logistic regression for the multivariate analysis. According to the findings, the study participants (52.2%) had high stress. The univariate analysis showed the independent variables correlated with stress with statistical significance to be gender (p-value < 0.01), occupation (p-value < 0.01), income (p-value < 0.001), number of vulnerable family members (r = 0.170), health literacy (r = -.275), economic anxiety (p-value < 0.05), anxiety about illness (p-value < 0.05) and anxiety about social activity (p-value < 0.01). From multiple logistic regression analysis, negative predictive factors were male gender (OR = 0.543, 95% CI = 0.340-0.868), number of family members (OR = 0.870, 95% CI = 0.758-1.00) and Covid-19 health literacy (OR = 0.941, 95% CI = 0.913-0.969). Positive predictive factors consisted of the sample with occupations as farmers (OR = 2.068, 95% CI = 1.259-3.395), number of vulnerable family members (OR = 1.546, 95% CI = 1.039-2.303) and economic anxiety (OR = 1.156, 95% CI = 1.005-1.330). Constant (2.015) = OC (0.726) + VUL (0.436) + AECON (0.145) - CVHL (0.061) – FAM (0.139) – SEX (0.611) The findings can be used to promote care for families with vulnerable family members by considering socioeconomic factors with activities to promote COVID-19 health literacy and policy-setting on healthcare development.

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Until the dawn: everyday experiences of people living with COVID-19 during the pandemic in Thailand

Imkome,

Moonchai

2024

F1000Res

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Background This study aims to understand and analyze the complex experiences of people living with COVID-19 to support future cases. Methods Purposive and snowball sampling techniques were employed to collect data through in-depth interviews; the data were combined with non-aggregated behavioral observations. The lived experiences of 15 individuals were collected through semi-structured interviews and analyzed using a phenomenological-hermeneutic approach. We used the thematic analysis technique to analyze the data. The COREQ guidelines for reporting qualitative studies were performed. Results Through analysis, themes of stress, economic impact, social stigma, social support, and unexpected benefits were identified. Participants further expressed economic and social concerns during the interviews. Conclusion The identified themes can help develop multidisciplinary treatment strategies that would be useful during a healthcare crisis, establish comprehensive support systems that could address economic and social problems, and provide training for employees for post-COVID-19 assistance.

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The impact of the covid-19 pandemic on anxiety, health literacy, and eHealth literacy in 2020 related to healthcare behavior in Thailand

Cited by 4 publications

References 27 publications

Preventive healthcare behavior: A hybrid systematic literature review (1998–2023)

Preventive healthcare behavior: A hybrid systematic literature review (1998–2023)

Health literacy, anxiety and stress among people during Coronavirus-2019 pandemic at the northern of Thailand

Until the dawn: everyday experiences of people living with COVID-19 during the pandemic in Thailand

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