Abstract:AbstractBackground Text messaging systems are used to collect data on symptom prevalence. Using a text messaging system, we evaluated the effects of question load, question frequency, and financial incentive on response rates and reported infant diarrhoea rates in an infant diarrhoea survey. Methods We performed a factorial cross-over randomised controlled trial of an SMS surveying system for infant diarrhoea surveillance with treatments: financial incentive (yes/no), … Show more
“…We would expect a lower reported number of diarrhoea episodes with longer recall periods and this was borne out by our analysis including two of the three head‐to‐head comparisons – the exception examined a much smaller gap between questions than the other two [10, 22]. This finding was corroborated by a more recent head‐to‐head comparison where daily recall was associated with a 30 percentage point higher estimated diarrhoea rate than fortnightly recall during a text message survey of under 5 diarrhoea in urban Tanzania [24]. While not examined in our review, it has also been reported that the effect of recall bias is more apparent for moderate diarrhoea compared to severe diarrhoea.…”
Objective
We systematically reviewed all studies published between 2000 and June 2021 that estimated under 5 diarrhoea rates in low‐ and middle‐income countries and extracted data on diarrhoea rates, measurement methods and reactivity.
Methods
We summarised data from studies that performed direct comparisons of methods, and indirectly compared studies which utilised only one method using meta‐regression to determine the association between methods and estimated diarrhoea rates.
Results
In total, 288 studies met our inclusion criteria: 4 direct comparisons and 284 studies utilising only one measurement method. Meta‐regression across all studies showed that diarrhoea rates were sensitive to method of measurement. We estimated that passive surveillance methods were associated with a 97% lower estimated rate than active surveillance (IRR = 0.03, 95% CI [0.02, 0.06]). Among active surveillance studies, a doubling of recall period was associated with a 48% lower rate (IRR = 0.52 [0.46, 0.60]), while decreased questioning frequency was associated with a higher estimated rate: at the extreme, one time questioning yielded an over 4× higher rate than daily questioning (IRR = 4.22 [2.73, 6.52]).
Conclusions
Estimated diarrhoea rates are sensitive to their measurement methods. There is a need for a standardisation of diarrhoea measurement methods, and for the use of other outcomes in the measurement of population‐level gastrointestinal health.
“…When surveying on health topics, social desirability bias is o en of concern when there is a response which is clearly socially desirable 16,17 . While one may expect assurance of confiden ality (compounded by the inherent privacy of phone interviews) to counteract this, we have demonstrated that this may not be the case 18 . Indeed, Wolter et al (2022) found in Germany that direct ques oning on COVID-19 vaccina on led to a 10pp higher reported vaccina on rate than indirect ques oning using the item count technique 19 .…”
Section: Misalignment Between Vaccina On Intent/report In Hfps and Ac...mentioning
The large amount of data on COVID-19 vaccination hesitancy presents a unique opportunity to better understand COVID-19 vaccination uptake. However, the utility of this data is unclear, particularly, how representative the surveys are of general populations; how easy the data is to use; and how valid the outcome (intent to be vaccinated) is. We explore this in the World Bank’s High Frequency Phone Surveys (HFPS), which were conducted longitudinally in over 50 countries between 2020 and 2021. A subset of the HFPS contained questions on vaccination hesitancy. We compared the demographic results from four surveys against the most recent census to determine representativeness of sample; and vaccination intent/actual vaccination against government reported vaccination rates. While the surveys were generally representative of population sizes and rural/urban split, they tended to over-sample men and older people. The surveys also omitted several key indicators. We also found that self-reported vaccination was higher than actual vaccination rates. As such, it is important to consider challenges in the data. It is also important to consider the ease of data use. However, even when these challenges arise there are still opportunities for meaningful use of the data.
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