Research method
Cross-Sectional Survey
A cross-sectional survey measures exposures and outcomes at one time — or as repeated snapshots of different people — rather than following the same cohort to incident events. The usual products are prevalence, coverage, hypothetical acceptance, or utilisation counts. Because exposure and outcome are contemporaneous, the design cannot by itself establish that one caused the other, and a convenience or telephone sample can mis-rank who would actually take up a vaccine.
Vaccination and service papers reach for surveys when they need a population percentage now: who would accept a COVID vaccine at 90% efficacy, who received seasonal versus pandemic influenza vaccine, who used telemedicine this year. It answers 'how common is this in this sample at this moment?' Its main limitation is that 79.6% hypothetical acceptance is not 79.6% later uptake, administrative visit counts are not care quality, and a cluster-randomised trial that happens to use community questionnaires is not 'just a survey.'
Evidence
What the evidence shows
Drawn from 4 studies in this library. Each finding starts with a plain-language takeaway, then the denser detail. Supports means evidence for a finding; Challenges means evidence against a stated position; Qualifies marks scope with a short note on each study’s contribution. Challenged positions are labeled — they are not findings.
A Libyan survey of 15,087 respondents found COVID-19 vaccine acceptance of 79.6% if efficacy were ≥90%, 60.6% if ≥70%, and 41.2% if 50%. Most respondents were general public; about one-quarter were students or clinicians. Convenience/online sampling and hypothetical efficacy scenarios limit inference about later real uptake.
A retrospective telephone survey estimated seasonal influenza coverage at about 20.6–20.8% overall and about 55% among at-risk people, versus 11.1% overall for the 2009 pandemic vaccine. Older adults had high seasonal but low pandemic uptake. Self-report and incomplete household response can bias those percentages; cross-sectional correlates of uptake are not causal.
Repeated administrative snapshots of rural telemedicine in Ontario are sometimes filed with surveys even though nobody filled a questionnaire. Users rose from 14,666 (1.4%) in earlier years to 290,401 (28.1%) in the first half of 2020 as COVID-era fee codes broadened virtual visits. Pre-pandemic use concentrated in Northern Ontario and younger adults; during COVID, use broadened geographically, skewed female, rose with age, and surged in urban as well as rural areas. Utilisation is not clinical quality or safe substitution for needed exams.
SASA! used community surveys as outcome tools inside a cluster-randomised trial in Kampala, not as a stand-alone cross-section. Past-year physical IPV and men's concurrency were about 50% lower in intervention communities, with improved attitudes toward women's right to refuse sex. Wide CIs on some IPV estimates and election-period interruption still apply; the randomisation, not the questionnaire format, is what supports a causal reading.
Open questions
Tensions and limits
Some items are genuine disagreements on the same question. Others mark different assays, populations, or outcomes — limits on how far one study travels — not a forced fight between papers.
Hypothetical acceptance, reported coverage, administrative utilisation and CRT endline surveys are four different measurement jobs. Libya's 79.6% at ≥90% efficacy is a stated intention under a scenario. Seasonal flu coverage of ~21% and pandemic coverage of 11.1% are recalled past behaviour. Telemedicine's jump from 1.4% to 28.1% is billing data. SASA!'s ~50% IPV contrast is a randomised community comparison that used surveys. Averaging those percentages as 'survey findings on uptake' erases the disagreements.
- COVID vaccine acceptance in Libya
- Seasonal vs pandemic flu vaccine coverage
- How did rural telemedicine change in COVID?
- SASA! cut partner violence in Kampala
Study Role Design N Population Outcome COVID vaccine acceptance in Libya Supports Cross-sectionalSurvey of public and health-care groups in Libya on COVID-19 vaccine acceptance by efficacy scenario N=15087 · Final analysed respondents; mean age 30.6 years Libyan general public, students, and clinicians Willingness to accept COVID-19 vaccination at ≥90%, ≥70%, and 50% efficacy Seasonal vs pandemic flu vaccine coverage Supports Cross-sectionalRetrospective telephone survey of French mainland population on seasonal and pandemic vaccine uptake N=10091 · 10,130 randomly selected; 10,091 included; 8,905/15,983 households responded (55.7%) Random sample of mainland France population Seasonal and 2009 pandemic influenza vaccination coverage How did rural telemedicine change in COVID? Supports OtherOntario health-administrative descriptive comparison of telemedicine use in 2012, 2016, and early 2020 N=1033271 · 2020 rural resident denominator; 290,401 (28.1%) with ≥1 telemedicine visit (vs 14,666/1,017,546 in 2012) Rural Ontario patients in health-administrative data Prevalence and demographic patterns of telemedicine use SASA! cut partner violence in Kampala Supports RCTCluster RCT of SASA! community activism vs control in Kampala N=2532 · Follow-up interviews: 600+768 intervention and 530+634 control (women+men) Adults in Kampala intervention and control communities in the SASA! CRT Past-year physical IPV and men’s sexual concurrency (community-level contrasts)
Common misconceptions
If 79.6% say they would accept a ≥90% efficacious COVID vaccine, about 80% will be vaccinated.
That figure is hypothetical acceptance in an online/convenience sample of 15,087, and it falls to 60.6% at ≥70% efficacy and 41.2% at 50%. Intention precedes uptake, and the sampling frame is not a probability sample of later programmes.
Older adults' high seasonal flu coverage means they also took up pandemic vaccine, so age is a stable 'vaccine-positive' trait.
The telephone survey found about 55% seasonal coverage among at-risk people and high seasonal uptake in older adults, but pandemic coverage was 11.1% overall with low pandemic uptake in that same older group. Cross-sectional correlates can reverse across products.
SASA! is a one-time survey showing Kampala had 50% less IPV, and telemedicine user counts prove virtual care was better.
SASA! cluster-randomised communities and then surveyed them; the ~50% IPV and concurrency contrasts are intervention effects with wide CIs on some estimates. Telemedicine snapshots show 14,666 to 290,401 users (1.4% to 28.1%), not quality, equity of outcomes, or safe replacement of exams.
Exam-style questions
Short-answer questions that ask you to explain or compare, not recall.
Libya reports 79.6%, 60.6% and 41.2% acceptance at three efficacy scenarios. What design features stop a student from treating 79.6% as coverage?
The outcome is hypothetical acceptance, not a documented dose. The 15,087-person sample is convenience/online, mixing public, students and clinicians. Changing the scenario to 50% efficacy nearly halves stated acceptance, which would be invisible if someone quoted only the top figure as 'uptake.'
Seasonal flu coverage was about 21% overall and 55% in at-risk people, while pandemic coverage was 11.1%. What does that split teach about 'anti-vaccine' as a single cross-sectional trait?
The same telephone survey found older adults high on seasonal and low on pandemic vaccine. Product, timing and perceived risk can reverse uptake. Self-report and incomplete households can still bias both percentages, and correlates are not causal.
Rural telemedicine users rose from 1.4% to 28.1%. Why is that still not evidence that virtual visits improved health or equity?
The figures are administrative snapshots (14,666 to 290,401 users) as fee codes changed in early 2020. They describe who appeared in billing data — later older, more female, geographically broader — not clinical quality, outcome equity, or whether needed in-person exams were skipped unsafely.
Both SASA! and the Libyan COVID paper used questionnaires. Why is only one of them entitled to a causal intervention sentence?
SASA! assigned Kampala communities to an activist programme and then measured ~50% lower past-year physical IPV and concurrency versus control clusters. The Libyan paper is a cross-sectional acceptance survey with no assigned intervention. Shared survey items do not transfer the CRT's causal design.
The studies
4 studies in this library bear on Cross-Sectional Survey, ordered by citations.
- SASA! cut partner violence in Kampala
A Kampala cluster RCT found community mobilization (SASA!) associated with roughly 50% lower past-year physical IPV and male partner concurrency.
- COVID vaccine acceptance in Libya
Willingness to take a COVID-19 vaccine rose with assumed efficacy—about 80% if efficacy was ≥90%, but only about 41% if 50%.
- How did rural telemedicine change in COVID?
Rural Ontario telemedicine use jumped from about 1.4% of patients in 2012 to 28% in early 2020 as temporary billing codes expanded virtual care.
- Seasonal vs pandemic flu vaccine coverage
In France, seasonal influenza coverage stayed near 21% while pandemic H1N1 coverage was only about 11%.
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