Evidence map›Paper›PMID 38375185›Full record

ArticlePreventive medicine reports2024

A nationwide mobile phone survey for tobacco use in Tanzania: Sample quality and representativeness compared to a household survey.

Gulam Muhammed Al Kibria, Frank Kagoro, George Pariyo, Joseph Ali, Farida Hassan, John W Kilambo, Irene Petro, Vidhi Maniar, Michelle R Kaufman, Andres Vecino-Ortiz and 3 more

Abstract read
In one paragraph

Article in Preventive medicine reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Measuring childhood mortality through mobile phone interviews in Mozambique.Tropical medicine & international health : TM & IH · 2025
    Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Gulam Muhammed Al KibriaDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Frank KagoroIfakara Health Institute, Dar es Salaam, Tanzania.
George PariyoSerum Africa Medical Research Institute, Kampala, Uganda.
Joseph AliDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Farida HassanIfakara Health Institute, Dar es Salaam, Tanzania.
John W KilamboIfakara Health Institute, Dar es Salaam, Tanzania.
Irene PetroIfakara Health Institute, Dar es Salaam, Tanzania.
Vidhi ManiarDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Michelle R KaufmanDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Andres Vecino-OrtizDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Saifuddin AhmedDepartment of Population, Family & Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.
Honorati MasanjaIfakara Health Institute, Dar es Salaam, Tanzania.
Dustin G GibsonDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the feasibility of an interactive voice response (IVR) survey in Tanzania and compared its prevalence estimates for tobacco use to the estimates of the 'Global Adult Tobacco Survey (GATS) 2018'. IVR participants were enrolled by random digit dialing. Quota sampling was employed to achieve the required sample sizes of age-sex strata: sex (male/female) and age (18-29-, 30-44-, 45-59-, and ≥60-year-olds). GATS was a nationally representative survey and used a multistage stratified cluster sampling design. The IVR sample's weights were generated using the inverse proportional weighting (IPW) method with a logit model and the standard age-sex distribution of Tanzania. The IVR and GATS had 2362 and 4555 participants, respectively. Compared to GATS, the unweighted IVR sample had a higher proportion of males (58.7 % vs. 43.2 %), educated people (secondary/above education: 43.3 % vs. 21.1 %), and urban residents (56.5 % vs. 40 %). The weighted prevalence (95 % confidence interval (CI)) of current smoking was 4.99 % (4.11-6.04), 5.22 % (4.36-6.24), and 7.36 % (6.51-8.31) among IVR (IPW), IVR (age-sex standard), and GATS samples, respectively; the weighted prevalence (95 % CI) of smokeless tobacco use was similar: 3.54 % (2.73-4.57), 3.58 % (2.80-4.56), and 2.43 % (1.98-2.98), respectively. Most differences in point estimates for tobacco indicators were small (<2%). Overall, the odds of tobacco smoking indicators were lower in IVR than in GATS; however, the odds of smokeless tobacco use were reversed. Although we found under-/over-estimation of the prevalence of tobacco use in IVR than GATS, the estimates were close. Further research is required to increase the representativeness of IVR.

Indexed as

Data collectionInteractive voice responseMobile phone surveySurvey findingsTobacco use

Identifiers

PMID38375185
PMCPMC10874872

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.