Dataset Information

Reducing underreporting of abortion in surveys: Results from two test applications of the list experiment method in Malawi and Senegal.

ABSTRACT:

Background

Accurately measuring abortion incidence poses many challenges. The list experiment is a method designed to increase the reporting of sensitive or stigmatized behaviors in surveys, but has only recently been applied to the measurement of abortion. To further test the utility of the list experiment for measuring abortion incidence, we conducted list experiments in two countries, over two time periods.

Materials and methods

The list experiment is an indirect method of measuring sensitive experiences that protects respondent confidentiality by hiding individual responses to a binary sensitive item (i.e., abortion) by combining this response with answers to other non-sensitive binary control items. Respondents report the number of list items that apply to them, not which ones. We conducted a list experiment to measure cumulative lifetime incidence of abortion in Malawi, and separately to measure cumulative five-year incidence of abortion in Senegal, among cisgender women of reproductive age.

Results

Among 810 eligible respondents in Malawi, list experiment results estimated a cumulative lifetime incidence of abortion of 0.9% (95%CI: 0.0, 7.6). Among 1016 eligible respondents in Senegal, list experiment estimates indicated a cumulative five-year incidence of abortion of 2.8% (95%CI: 0.0, 10.4) which, while lower than anticipated, is seven times the proportion estimated from a direct question on abortion (0.4%).

Conclusions

Two test applications of the list experiment to measure abortion experiences in Malawi and Senegal likely underestimated abortion incidence. Future efforts should include context-specific formative qualitative research for the development and selection of list items, enumerator training, and method delivery to assess if and how these changes can improve method performance.

SUBMITTER: Moseson H

PROVIDER: S-EPMC7928519 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Reducing underreporting of abortion in surveys: Results from two test applications of the list experiment method in Malawi and Senegal.

Moseson Heidi H Jayaweera Ruvani R Huber-Krum Sarah S Garver Sarah S Norris Alison A Gerdts Caitlin C

PloS one 20210303 3

<h4>Background</h4>Accurately measuring abortion incidence poses many challenges. The list experiment is a method designed to increase the reporting of sensitive or stigmatized behaviors in surveys, but has only recently been applied to the measurement of abortion. To further test the utility of the list experiment for measuring abortion incidence, we conducted list experiments in two countries, over two time periods.<h4>Materials and methods</h4>The list experiment is an indirect method of meas ...[more]

PMID: 33657126

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Project description:BackgroundAccurately measuring stigmatized experiences is a challenge across reproductive health research. In this study, we tested a novel method - the list experiment - that aims to reduce underreporting of sensitive events by asking participants to report how many of a list of experiences they have had, not which ones. We applied the list experiment to measure "self-managed abortion" - any attempt by a person to end a pregnancy on one's own, outside of a clinical setting - a phenomenon that may be underreported in surveys due to a desire to avoid judgement.MethodsWe administered a double list experiment on self-managed abortion to a Texas-wide representative sample of 790 women of reproductive age in 2015. Participants were asked how many of a list of health experiences they had experienced; self-managed abortion was randomly added as an item to half of the lists. A difference in the average number of items reported by participants between lists with and without self-managed abortion provided a population level estimate of self-managed abortion. In 2017, we conducted cognitive interviews with women of reproductive age in four states to understand how women (1) interpreted the list experiment question format, and (2) interpreted the list item on prior experiences attempting to self-manage an abortion.ResultsResults from this list experiment estimated that 8% of women of reproductive age in Texas have ever self-managed an abortion. This number was higher than expected, thus, the researchers conducted cognitive interviews to better understand how people interpreted the list experiment on self-managed abortion. Some women interpreted "on your own" to mean "without the knowledge of friends or family", as opposed to "without medical assistance", as intended.ConclusionThe list experiment may have reduced under-reporting of self-managed abortion; however, the specific phrasing of the list item may also have unintentionally increased reporting of abortion experiences not considered "self-managed." High participation in and comprehension of the list experiment, however, suggests that this method is worthy of further exploration as tool for measuring stigmatized experiences.

Project description:BackgroundIn Malawi, abortion is legal only if performed to save a woman's life; other attempts to procure an abortion are punishable by 7-14 years imprisonment. Most induced abortions in Malawi are performed under unsafe conditions, contributing to Malawi's high maternal mortality ratio. Malawians are currently debating whether to provide additional exceptions under which an abortion may be legally obtained. An estimated 67,300 induced abortions occurred in Malawi in 2009 (equivalent to 23 abortions per 1,000 women aged 15-44), but changes since 2009, including dramatic increases in contraceptive prevalence, may have impacted abortion rates.MethodsWe conducted a nationally representative survey of health facilities to estimate the number of cases of post-abortion care, as well as a survey of knowledgeable informants to estimate the probability of needing and obtaining post-abortion care following induced abortion. These data were combined with national population and fertility data to determine current estimates of induced abortion and unintended pregnancy in Malawi using the Abortion Incidence Complications Methodology.ResultsWe estimate that approximately 141,044 (95% CI: 121,161-160,928) induced abortions occurred in Malawi in 2015, translating to a national rate of 38 abortions per 1,000 women aged 15-49 (95% CI: 32 to 43); which varied by geographical zone (range: 28-61). We estimate that 53% of pregnancies in Malawi are unintended, and that 30% of unintended pregnancies end in abortion. Given the challenges of estimating induced abortion, and the assumptions required for calculation, results should be viewed as approximate estimates, rather than exact measures.ConclusionsThe estimated abortion rate in 2015 is higher than in 2009 (potentially due to methodological differences), but similar to recent estimates from nearby countries including Tanzania (36), Uganda (39), and regional estimates in Eastern and Southern Africa (34-35). Over half of pregnancies in Malawi are unintended. Our findings should inform ongoing efforts to reduce maternal morbidity and mortality and to improve public health in Malawi.

Project description:BackgroundThe persistence of preventable maternal and newborn deaths highlights the importance of quality of care as an essential element in coverage interventions. Moving beyond the conventional measurement of crude coverage, we estimated effective coverage of facility delivery by adjusting for facility preparedness to provide delivery services in Bangladesh, Haiti, Malawi, Nepal, Senegal, and Tanzania.MethodsThe study uses data from Demographic and Health Surveys (DHS) and Service Provision Assessments (SPA) in Bangladesh (2014 DHS and 2014 SPA), Haiti (2012 DHS and 2013 SPA), Malawi (2015-16 DHS and 2013-14 SPA), Nepal (2016 DHS and 2015 SPA), Senegal (2016 DHS and 2015 SPA), and Tanzania (2015-16 DHS and 2014-15 SPA). We defined effective coverage as the mathematical product of crude coverage and quality of care. The coverage of facility delivery was measured with DHS data and quality of care was measured with facility data from SPA. We estimated effective coverage at both the regional and the national level and accounted for type of facility where delivery care was sought.FindingsThe findings from the six countries indicate the effective coverage ranges from 24% in Haiti to 66% in Malawi, representing substantial reductions (20% to 39%) from crude coverage rates. Although Malawi has achieved almost universal coverage of facility delivery (93%), effective coverage was only 66%.vSuch gaps between the crude coverage and the effective coverage suggest that women delivered in health facility but did not necessarily receive an adequate quality of care. In all countries except Malawi, effective coverage differed substantially among the country's regions of the country, primarily due to regional variability in coverage.InterpretationOur findings reinforce the importance of quality of obstetric and newborn care to achieve further reduction of maternal and newborn mortality. Continued efforts are needed to increase the use of facility delivery service in countries or regions where coverage remains low.

Project description:BackgroundMany southern African countries are nearing the global goal of diagnosing 90% of people with HIV by 2020. In 2016, 84 and 86% of people with HIV knew their status in Malawi and Zimbabwe, respectively. However, gaps remain, particularly among men. We investigated awareness and use of, and willingness to self-test for HIV and explored sociodemographic associations before large-scale implementation.MethodsWe pooled responses from two of the first cross-sectional Demographic and Health Surveys to include HIV self-testing (HIVST) questions in Malawi and Zimbabwe in 2015-16. We investigated sociodemographic factors and sexual risk behaviours associated with previously testing for HIV, and past use, awareness of, and future willingness to self-test using univariable and multivariable logistic regression, adjusting for the sample design and limiting analysis to participants with a completed questionnaire and valid HIV test result. We restricted analysis of willingness to self-test to Zimbabwean men, as women and Malawians were not systematically asked this question.ResultsOf 31,385 individuals, 31.2% of men had never tested compared with 16.5% of women (p < 0.001). For men, the likelihood of having ever tested increased with age. Past use and awareness of HIVST was very low, 1.2 and 12.6%, respectively. Awareness was lower among women than men (9.1% vs 15.3%, adjusted odds ratio [aOR] = 1.55; 95% confidence interval [CI]: 1.37-1.75), and at younger ages, and lower education and literacy levels. Willingness to self-test among Zimbabwean men was high (84.5%), with greater willingness associated with having previously tested for HIV, being at high sexual risk (highest willingness [aOR = 3.74; 95%CI: 1.39-10.03, p < 0.009]), and being ≥25 years old. Wealthier men had greater awareness of HIVST than poorer men (p < 0.001). The highest willingness to self-test (aOR = 3.74; 95%CI: 1.39-10.03, p < 0.009) was among men at high HIV-related sexual risk.ConclusionsIn 2015-16, many Malawian and Zimbabwean men had never tested for HIV. Despite low awareness and minimal HIVST experience, willingness to self-test was high among Zimbabwean men, especially older men with moderate-to-high HIV-related sexual risk. These data provide a valuable baseline against which to investigate population-level uptake of HIVST as programmes scale up. Programmes introducing, or planning to introduce, HIVST should consider including relevant questions in population-based surveys.

Project description:Surveys aimed at finding threatened and invasive species can be challenging due to individual rarity and low and variable individual detection rates. Detection rate in plant surveys typically varies due to differences among observers, among the individual plants being surveyed (targets), and across background environments. Interactions among these 3 components may occur but are rarely estimated due to limited replication and control during data collection. We conducted an experiment to investigate sources of variation in detection of 2 Pilosella species that are invasive and sparsely distributed in the Alpine National Park, Australia. These species are superficially similar in appearance to other yellow-flowered plants occurring in this landscape. We controlled the presence and color of flowers on target Pilosella plants and controlled their placement in plots, which were selected for their variation in cover of non-target yellow flowers and dominant vegetation type. Observers mimicked Pilosella surveys in the plots and reported 1 categorical and 4 quantitative indicators of their survey experience level. We applied survival analysis to detection data to model the influence of both controlled and uncontrolled variables on detection rate. Orange- and yellow-flowering Pilosella in grass- and heath-dominated vegetation were detected at a higher rate than nonflowering Pilosella. However, this detection gain diminished as the cover of other co-occurring yellow-flowering species increased. Recent experience with Pilosella surveys improved detection rate. Detection experiments are a direct and accessible means of understanding detection processes and interpreting survey data for threatened and invasive species. Our detection findings have been used for survey planning and can inform progress toward eradication. Interaction of target and background characteristics determined detection rate, which enhanced predictions in the Pilosella eradication program and demonstrated the difficulty of transferring detection findings into untested environments.

Project description:BackgroundTo reduce inappropriate antibiotic use, public health campaigns often provide fear-based information about antimicrobial resistance (AMR). Meta-analyses have found that fear-based campaigns in other contexts are likely to be ineffective unless respondents feel confident they can carry out the recommended behaviour ('self-efficacy'). This study aimed to test the likely impact of fear-based messages, with and without empowering self-efficacy elements, on patient consultations/antibiotic requests for influenza-like illnesses, using a randomised design.MethodsWe hypothesised that fear-based messages containing empowering information about self-management without antibiotics would be more effective than fear alone, particularly in a pre-specified subgroup with low AMR awareness. Four thousand respondents from an online panel, representative of UK adults, were randomised to receive three different messages about antibiotic use and AMR, designed to induce fear about AMR to varying degrees. Two messages (one 'strong-fear', one 'mild-fear') also contained empowering information regarding influenza-like symptoms being easily self-managed without antibiotics. The main outcome measures were self-reported effect of information on likelihood of visiting a doctor and requesting antibiotics, for influenza-like illness, analysed separately according to whether or not the AMR information was 'very/somewhat new' to respondents, pre-specified based on a previous (non-randomised) survey.ResultsThe 'fear-only' message was 'very/somewhat new' to 285/1000 (28.5%) respondents, 'mild-fear-plus-empowerment' to 336/1500 (22.4%), and 'strong-fear-plus-empowerment' to 388/1500 (25.9%) (p?=?0.002). Of those for whom the respective information was 'very/somewhat new', only those given the 'strong-fear-plus-empowerment' message said they would be less likely to request antibiotics if they visited a doctor for an influenza-like illness (p?<?0.0001; 182/388 (46.9%) 'much less likely'/'less likely', versus 116/336 (34.5%) with 'mild-fear-plus-empowerment' versus 85/285 (29.8%) with 'fear-alone'). Those for whom the respective information was not 'very/somewhat new' said they would be less likely to request antibiotics for influenza-like illness (p?<?0.0001) across all messages (interaction p?<?0.0001 versus 'very/somewhat new' subgroup). The three messages had analogous self-reported effects on likelihood of visiting a doctor and in subgroups defined by believing antibiotics would 'definitely/probably' help an influenza-like illness. Results were reproduced in an independent randomised survey (additional 4000 adults).ConclusionsFear could be effective in public campaigns to reduce inappropriate antibiotic use, but should be combined with messages empowering patients to self-manage symptoms effectively without antibiotics.

Dataset Information

Reducing underreporting of abortion in surveys: Results from two test applications of the list experiment method in Malawi and Senegal.

Background

Materials and methods

Results

Conclusions

Publications

Reducing underreporting of abortion in surveys: Results from two test applications of the list experiment method in Malawi and Senegal.

Similar Datasets

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