Population's health information-seeking behaviors and geographic variations of stroke in Malaysia: an ecological correlation and time series study

A systematic review of current national hospital-based stroke registries monitoring access to evidence-based care and patient outcomes

BACKGROUND

National stroke clinical quality registries/audits support improvements in stroke care. In a 2016 systematic review, 28 registries were identified. Since 2016 there have been important advances in stroke care, including the development of thrombectomy services. Therefore, we sought to understand whether registries have evolved with these advances in care. The aim of this systematic review was to identify current, hospital-based national stroke registries/audits and describe variables (processes, outcome), methods, funding and governance).

METHODS

We searched four databases (21st May 2015 to 1st February 2024), grey literature and stroke organisations' websites. Initially two reviewers screened each citation; when agreement was satisfactory, one of four reviewers screened each citation. The same process was applied to full texts. If there were no new publications from registries identified in the original 2016 review, we contacted the registry leads. We extracted data using predefined categories on country (including income level), clinical/process variables, methods, funding and governance.

RESULTS

We found 37 registries from 31 countries (28 high income, four upper-middle income, five lower-middle income) of which 16 had been identified in 2016 and 21 were new. Twenty-two of the same variables were collected by >50% of registries/audits (mostly acute care, including thrombectomy, and secondary prevention), compared with only four variables in 2016. Descriptions of funding, management, methods of consent and data privacy, follow-up, feedback to hospitals, linkage to other datasets and alignment of variables with guidelines were variably reported. Reasons for apparent termination of some registries was unclear.

CONCLUSIONS

The total number of stroke registries has increased since 2016, and the number of variables collected has increased, reflecting advances in stroke care. However, some registries appeared to have ceased; the reasons are unclear.

Coronavirus-Related Searches on the Internet Predict COVID-19 Vaccination Rates in the Real World: A Behavioral Immune System Perspective

According to the smoke detector and functional flexibility principles of human behavioral immune system (BIS), the exposure to COVID-19 cues could motivate vaccine uptake. Using the tool of Google Trends, we tested that coronavirus-related searches-which assessed natural exposure to COVID-19 cues-would positively predict actual vaccination rates. As expected, coronavirus-related searches positively and significantly predicted vaccination rates in the United States (Study 1a) and across the globe (Study 2a) after accounting for a range of covariates. The stationary time series analyses with covariates and autocorrelation structure of the dependent variable confirmed that more coronavirus-related searches compared with last week indicated increases in vaccination rates compared with last week in the United States (Study 1b) and across the globe (Study 2b). With real-time web search data, psychological scientists could test their research questions in real-life settings and at a large scale to expand the ecological validity and generalizability of the findings.

The Malay version of the caregiver assessment of function and upset instrument (Malay-CAFU): a translation and validation study among informal stroke caregivers

BACKGROUND

Post-stroke complications affect the informal caregivers equally as the stroke survivors, especially those who have a moderate to worst prognosis in functional capacity recovery. Caregiver Assessment of Function and Upset (CAFU) is one of the common tools used in both research and clinical practice to measure the patient's dependency level and the stroke caregivers' upset level.

OBJECTIVE

This study aimed to translate and validate the CAFU instrument into the Malay language and test the validity and reliability of the CAFU among informal stroke caregivers in Malaysia.

METHODS

A standard forward-backward translation method was employed to translate CAFU. Subsequently, 10 expert panels were included in the validation process, and thereafter reliability testing was conducted among 51 stroke caregivers. The validation of the instrument was determined by computing the content validity indices (CVIs), and we used the Cronbach's alpha method to explore the internal consistency of the overall score and subscales scores of the Malay-CAFU. Finally, the explanatory factor analysis used principal component extraction and a varimax rotation to examine construct validity.

RESULTS

All items of the Malay-CAFU had satisfactory item-level CVI (I-CVI), with values greater than 0.80, and the scale-level CVI (S-CVI) was 0.95. These results indicate that the Malay-CAFU had good relevancy. The internal consistency for the reliability test showed a Cronbach's alpha value of 0.95 for the overall score. The eigenvalues and scree plot supported a two-factor structural model of the instrument. From the explanatory factor analysis, the factor loadings ranged from 0.82 to 0.90 and 0.56 to 0.83, respectively.

CONCLUSION

The Malay-CAFU questionnaire is a valid and reliable instrument to assess the dependence level of stroke survivors and the upset level of informal stroke caregivers in Malaysia.

Prediction of Age-Adjusted Mortality From Stroke in Japanese Prefectures: Ecological Study Using Search Engine Queries

BACKGROUND

Stroke is a major cause of death and the need for nursing care in Japan, with large regional disparities.

OBJECTIVE

The purpose of this study was to clarify the association between stroke-related information retrieval behavior and age-adjusted mortality in each prefecture in Japan.

METHODS

Age-adjusted mortality from stroke and aging rates were obtained from publicly available Japanese government statistics. A total of 9476 abstracts of Japanese articles related to symptoms and signs of stroke were identified in Ichushi-Web, a Japanese web-based database of biomedical articles, and 100 highly frequent words (hereafter referred to as the Stroke 100) were extracted. Using data from 2014 to 2019, a random forest analysis was carried out using the age-adjusted mortality from stroke in 47 prefectures as the outcome variable and the standardized retrieval numbers of the Stroke 100 words in the log data of Yahoo! JAPAN Search as predictive variables. Regression analysis was performed using a generalized linear mixed model (GLMM) with the number of standardized searches for Stroke 100 words with high importance scores in the random forest model as the predictive variable. In the GLMM, the aging rate and data year were used as control variables, and the random slope of data year and random intercept were calculated by prefecture.

RESULTS

The mean age-adjusted mortality from stroke was 28.07 (SD 4.55) deaths per 100,000 for all prefectures in all data years. The accuracy score of the random forest analysis was 89.94%, the average error was 2.79 degrees, and the mean squared error was 13.57 degrees. The following 9 variables with high importance scores in the random forest analysis were selected as predictive variables for the regression analysis: male, age, hospitalization, enforcement, progress, stroke, abnormal, use, and change. As a result of the regression analysis with GLMM, the standardized partial regression coefficients (β) and 95% confidence intervals showed that the following internet search terms were significantly associated with age-adjusted mortality from stroke: male (β=-5.83, 95% CI -8.67 to -3.29), age (β=-5.83, 95% CI -8.67 to -3.29), hospitalization (β=-5.83, 95% CI -8.67 to -3.29), and abnormal (β=3.83, 95% CI 1.14 to 6.56).

CONCLUSIONS

Stroke-related search behavior was associated with age-adjusted mortality from stroke in each prefecture in Japan. Query terms that were strongly associated with age-adjusted mortality rates of stroke suggested the possibility that individual characteristics, such as sex and age, have an impact on stroke-associated mortality and that it is important to receive medical care early after stroke onset. Further studies on the criteria and timing of alerting are needed by monitoring information-seeking behavior to identify queries that are strongly associated with stroke mortality.

Malaysian Public Interest in Common Medical Problems: A 10-Year Google Trends Analysis

Background

An analysis of internet search has been performed to evaluate the public interest in health problems. Google Trends (GT) serves as a free platform to analyse the search traffic for specific terms in the Google search engine. This observational study aims to investigate the trend of Malaysian population in using the Google search engine on common medical problems and explore the geographical influence on the language used.

Material and method

Fifteen pairs of keywords, in Malay and English language, were chosen after going through forward and backward translation and vetting by a panel of experts. GT data for the selected keywords from 1st of January 2011 to 31st of December 2020 was extracted. Trend analysis was performed using paired t-test between the first half of the decade and the second half of the decade. The different languages used were analysed based on geographical variation using paired t-test.

Results

The public interest on those keywords was markedly increased in the second half of the decade with 29 out of 30 keywords showing statistically significant difference. Majority of the states preferred to use Malay keywords, especially those residing at the East Coast of Peninsular Malaysia.

Conclusion

This observational study illustrates the ability of GT to track healthcare interest among Malaysian population. GT provides a good platform to analyse specific healthcare interest in Malaysian population, but investigators have to bear in mind the geographical influence on the language used.

Family Caregivers' Experiences and Coping Strategies in Managing Stroke Patients during the COVID-19 Pandemic: A Qualitative Exploration Study

BACKGROUND

Stroke is a chronic disease that requires stroke survivors to be supported long-term by their families. This is especially because of the inaccessibility to post-stroke rehabilitation outside hospitals. The Corona Virus Disease 2019 (COVID-19) crisis and the pandemic restrictions in Malaysia are expected to exponentially increase the demand from family caregivers in supporting stroke survivors. Thus, this study aims to explore the burden, experience, and coping mechanism of the family caregivers supporting stroke survivors during the COVID-19 pandemic.

METHODOLOGY

A phenomenological qualitative study was conducted from November 2020 to June 2021 in Malaysia. A total of 13 respondents were recruited from two public rehabilitation centers in Kota Bharu, Kelantan. In-depth interviews were conducted with the participants. Comprehensive representation of perspectives from the respondents was achieved through purposive sampling. The interviews were conducted in the Kelantanese dialect, recorded, transcribed, and analyzed using thematic analysis.

RESULTS

Three themes on burdens and experiences were identified. They were worsening pre-existing issues, emerging new issues, and fewer burdens and challenges. Two themes on coping strategies were also identified. They were problem-focused engagement and emotion-focused engagement.

CONCLUSIONS

The COVID-19 pandemic has changed the entire system of stroke management. While family caregivers mostly faced the extra burden through different experiences, they also encountered some positive impacts from the pandemic. The integrated healthcare system, especially in the era of digitalization, is an important element to establish the collaborative commitment of multiple stakeholders to compensate burden and sustain the healthcare of stroke survivors during the pandemic.