Response patterns in the Belgian health interview survey: web versus face-to-face mode

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
E Braekman ◽  
S Demarest ◽  
R Charafeddine ◽  
F Berete ◽  
S Drieskens ◽  
...  
Keyword(s):  
Response Rate ◽  
Response Rates ◽  
Unit Response ◽  
Response Patterns ◽  
Demographic Groups ◽  
Face To Face ◽  
Health Interview Survey ◽  
Health Interview ◽  
Interview Survey ◽  
The Impact

Abstract Background Potential is seen in web data collection for population health surveys due to a combination of its cost-effectiveness and ease of implementation and the increased internet penetration rates. Nonetheless, web modes may lead to lower and more selective unit response rates than traditional modes such as face-to-face (F2F) interviewing and hence may increase bias in the measured indicators. This research assesses the response patterns of a web versus F2F study. Methods A Belgian health interview survey by web (BHISWEB; net sample=1010) was organized parallel to the traditional F2F BHIS 2018 (BHIS2018; net sample=11611; subsample used in this study=2748). Socio-demographic data on invited individuals were obtained from the national register and census linkages. To address the high item-missingness on education level deriving from the census, multiple imputation (m = 20) was applied. Unit response rates considering the different sampling probabilities of both surveys were calculated. Logistic regression analyses examined the impact of mode (web vs. F2F) and interactions between mode and socio-demographic characteristics on unit response. Results The unit response rate was significantly lower in the BHISWEB (18.0% (95% CI: 17.0-19.1)) than in the BHIS2018 (43.1% (95% CI: 41.5-44.7)). A lower web versus F2F response rate was found among all socio-demographic groups, however, this lower web response was less pronounced among youngsters, people cohabiting with household members, higher educated people and native Belgians. Conclusions The F2F unit response rate was generally higher, yet for certain groups the difference between web versus F2F was smaller. It is therefore worthwhile to experiment with adaptive mixed-mode designs to optimize resources without increasing selection bias; e.g. only inviting socio-demographic groups more eager to participate online for web surveys (e.g. youngsters) while remaining to focus on increasing the F2F response rates for other groups. Key messages The advantages of web versus F2F interviewing come against its considerable lower unit response rate. Differences in unit non-response between web and F2F vary between socio-demographic groups.

Comparing face-to-face to web data collection: unit response and costs in a national health survey (Preprint)

2020 ◽  
Author(s):  
Elise Braekman ◽  
Stefaan Demarest ◽  
Rana Charafeddine ◽  
Sabine Drieskens ◽  
Finaba Berete ◽  
...  
Keyword(s):  
Data Collection ◽  
Response Rate ◽  
Response Rates ◽  
Demographic Characteristics ◽  
Unit Response ◽  
Cost Advantage ◽  
Web Data ◽  
Demographic Groups ◽  
Considerable Cost ◽  
The Difference

BACKGROUND Potential is seen in web data collection for population health surveys due to a combination of its cost-effectiveness, implementation ease and the increased internet penetration. Nonetheless, web modes may lead to lower and more selective unit response rates than traditional modes and hence may increase bias in the measured indicators. OBJECTIVE This research assesses the unit response and costs of a web versus F2F study. METHODS Alongside the F2F Belgian Health Interview Survey of 2018 (BHIS2018; n gross sample used: 7,698), a web survey (BHISWEB; n gross sample=6,183) is organized. Socio-demographic data on invited individuals is obtained from the national register and census linkages. Unit response rates considering the different sampling probabilities of both surveys are calculated. Logistic regression analyses examine the association between mode system (web vs. F2F) and socio-demographic characteristics on unit non-response. The costs per completed web questionnaire are compared with these for a completed F2F questionnaire. RESULTS The unit response rate is lower in BHISWEB (18.0%) versus BHIS2018 (43.1%). A lower web response is found among all socio-demographic groups, however, the difference is higher among people older than 65, low educated people, people with a non-Belgian nationality, people living alone and these living in Brussels Capital. Not the same socio-demographic characteristics are associated with non-response in both studies. Having another European (OR (95% CI): 1.60 (1.20-2.13)) or a non-European nationality (OR (95% CI): 2.57 (1.79-3.70)) (compared to having the Belgian nationality) and living in the Brussels Capital (95% CI): 1.72 (1.41-2.10)) or Walloon (OR (95% CI): 1.47 (1.15 - 1.87) region (compared to living in the Flemish region) is only in BHISWEB associated with a higher non-response. In BHIS2018 younger people (OR (95% CI): 1.31 (1.11-1.54)) are more likely to be non-respondent than older people, this was not found BHISWEB. In both studies, lower educated people have a higher change to be non-respondent, but this effect is more pronounced in BHISWEB (OR low vs. high education level (95% CI): Web 2.71 (2.21-3.39)); F2F 1.70 (1.48-1.95)). The BHISWEB study has a considerable cost advantage; the total cost per completed questionnaire is almost three times lower (€41) compared to the F2F data collection (€111). CONCLUSIONS The F2F unit response rate is generally higher, yet for certain groups the difference between web versus F2F is more limited. A considerable cost advantage of web collection is found. It is therefore worthwhile to experiment with adaptive mixed-mode designs to optimize financial resources without increasing selection bias; e.g. only inviting socio-demographic groups more eager to participate online for web surveys while remaining to focus on increasing the F2F response rates for other groups. CLINICALTRIAL Studies approved by the Ethics Committee of the University hospital of Ghent

scholarly journals 306Association between polypharmacy and mortality in the community-dwelling older population: a data linkage study

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Johan Van der Heyden ◽  
Finaba Berete ◽  
Brecht Devleesschauwer ◽  
Karin De Ridder ◽  
Olivier Bruyère ◽  
...  
Keyword(s):  
Older People ◽  
Functional Limitations ◽  
Critical Evaluation ◽  
Community Dwelling ◽  
Health Care Use ◽  
Mortality Data ◽  
Health Interview Survey ◽  
Health Interview ◽  
Interview Survey ◽  
The Impact

Abstract Background Literature findings on the association between polypharmacy and mortality in older people are not consistent. Appropriate tools, making use of linkages, are helpful to investigate this further. Methods Data of participants of the Belgian Health Interview Survey 2013 aged ≥ 65 years (n = 1950) were linked with billing data and 5 year’s mortality follow-up information. Polypharmacy was defined as concomitant use of ≥ 5 medicines in the past 24 hours or ≥ 5 recent prescriptions of reimbursed medicines. The impact of polypharmacy on mortality was assessed through mortality rate ratios (MRR) from a Poisson regression model adjusting for gender, age, multimorbidity, functional limitations and health care use, and including interactions. Results The prevalence of polypharmacy was 38,3%. Age and disability status were effect modifiers in the association between polypharmacy and mortality. Whereas polypharmacy was significantly associated with mortality among people aged 65-79 years (MRR 2.52; 95% CI 1.67-3.80), this was not so for the 80 + (MRR 1.46; 95% CI 0.93-2.29). Polypharmacy was a mortality predictor among people with no/moderate functional limitations (MRR 2,29; 95% CI 1.61-3.25), but not for those with severe functional limitations (MRR 1,22; 95% CI 0.67-2.34). Conclusions By linking health interview survey, billing and mortality data further insights can be gained on the association between polypharmacy and mortality. Key messages A critical evaluation of polypharmacy in older people below 80 years and in people without severe functional limitations may reduce mortality in these population groups.

Is the European Health Interview Survey online yet? Response and net sample composition of a web-based data collection

2019 ◽  
Vol 30 (3) ◽  
pp. 595-601 ◽  
Author(s):  
Elise Braekman ◽  
Rana Charafeddine ◽  
Stefaan Demarest ◽  
Sabine Drieskens ◽  
Jean Tafforeau ◽  
...  
Keyword(s):  
Data Collection ◽  
Mixed Mode ◽  
Response Rate ◽  
Web Based ◽  
Health Interview Survey ◽  
Health Interview ◽  
Sample Composition ◽  
Interview Survey ◽  
European Health ◽  
European Health Interview Survey

Abstract Background The European Health Interview Survey (EHIS) provides cross-national data on health status, health care and health determinants. So far, 10 of the 30 member states (MS) opted for web-based questionnaires within mixed-mode designs but none used it as the sole mode. In the context of future EHIS, the response rate and net sample composition of a web-only approach was tested. Methods A Belgian study with a target sample size of 1000 (age: 16–85) was organized using the EHIS wave 3 model questionnaire. The sample was selected according to a multistage, clustered sampling procedure with geographical stratification. Field substitution was applied; non-participating households were replaced by similar households regarding statistical sector, sex and age. There was one reminder letter and a €10 conditional incentive. Results Considering all substitutions, a 16% response rate was obtained after sending one reminder. Elderly, Brussels Capital inhabitants, people living without a partner and those with a non-Belgian nationality were less responding. By design, there were no differences between the initial and final net sample regarding substitution characteristics. Nevertheless, people living without a partner, non-Belgians and lower educated people remain underrepresented. Conclusion There was a low response rate, particularly for some population groups. The response rate was lower than those of MS using mixed-mode designs including web, especially these comprising interviewer-based approaches. Despite the long and complex questionnaire, there was a low break off rate. So far, web-only data collection is not an acceptable strategy for population-based health surveys but efforts to increase the response should be further explored.

Impact of Childhood Asthma on Health

PEDIATRICS ◽  
1992 ◽  
Vol 90 (5) ◽  
pp. 657-662
Author(s):  
William R. Taylor ◽  
Paul W. Newacheck
Keyword(s):  
National Health ◽  
National Health Interview Survey ◽  
Burden Of Illness ◽  
The United States ◽  
Health Interview Survey ◽  
Health Interview ◽  
Children With Asthma ◽  
Interview Survey ◽  
The Difference ◽  
The Impact

In 1988, the National Health Interview Survey contained a supplemental questionnaire on childhood conditions that included asthma. The authors used these data from 17 110 households to determine the disease burden resulting from asthma and to determine the functional status of children with and without asthma by linking information from the core and supplemental questionnaires. The prevalence of asthma in children younger than 18 years of age in the United States as reported by an adult in the household was 4.3% in 1988 and was 3.2% in 1981, the last time a comparable questionnaire was used in the National Health Interview Survey. The difference between the prevalences of asthma was statistically significant (95% confidence interval for the difference was 0.7% to 1.5%). An estimated 2.7 million children younger than 18 years were reported by an adult in the household to have had asthma in the past year. The added burden of illness experienced by children with asthma compared with children without asthma was an additional 10.1 million days missed from school, 12.9 million contacts with medical doctors, and 200 000 hospitalizations. Almost 30% of children with asthma had some limitation in activity, compared with only 5% of children without asthma. A greater proportion of black children experienced more severe functional disability and had more frequent hospitalizations than white children with asthma. Ten percent of children with asthma had severe disease as measured by frequency of bother and limitations in function; these children accounted for 35% of hospitalizations for asthma and 77% of the days in the hospital. Ultimately, measures of the impact of disease on health become important tools to evaluate the effectiveness of prevention and treatment.

scholarly journals The Cornella Health Interview Survey Follow-Up (CHIS.FU) Study: design, methods, and response rate

2003 ◽  
Vol 3 (1) ◽  
Author(s):  
Montse Garcia ◽  
Anna Schiaffino ◽  
Esteve Fernandez ◽  
Merce Marti ◽  
Esteve Salto ◽  
...  
Keyword(s):  
Study Design ◽  
Response Rate ◽  
Design Methods ◽  
Health Interview Survey ◽  
Health Interview ◽  
Interview Survey
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