Evidence map›Paper›PMID 38974292›Full record

ArticleAfrican health sciences2023

Risk factors for infertility and barriers to treatment in Tanzania: a survey and medical records study.

Emily A Groene, Cyrialis Mutabuzi, Dickson Chinunje, Ester Shango, Mkhoi L Mkhoi, Susan M Mason, Shalini Kulasingam, Charles R Majinge

Abstract read
In one paragraph

Article in African health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Emily A GroeneDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S 2nd Street, Suite 300, Minneapolis, United States.
Cyrialis MutabuziDodoma Christian Medical Center, Ntyuka, Dodoma, Tanzania.
Dickson ChinunjeDodoma Christian Medical Center, Ntyuka, Dodoma, Tanzania.
Ester ShangoDodoma Christian Medical Center, Ntyuka, Dodoma, Tanzania.
Mkhoi L MkhoiBenjamin Mkapa Hospital, P.O. Box 11088, Inside University of Dodoma (UDOM) area, Dodoma, Tanzania.
Susan M MasonDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S 2nd Street, Suite 300, Minneapolis, United States.
Shalini KulasingamDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 S 2nd Street, Suite 300, Minneapolis, United States.
Charles R MajingeDodoma Christian Medical Center, Ntyuka, Dodoma, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The burden of infertility is serious for women in high-fertility countries. Objectives: We sought to identify demographic, behavioral/environmental, and reproductive risk factors for various infertility factors (i.e., ovarian, tubal, uterine/cervical, male/other) among women seeking infertility treatment in central Tanzania; to determine the association between pelvic inflammatory disease (PID) and tubal factor infertility (TFI); and to identify barriers to infertility treatment by women's home regional zone. Methods: We conducted a cross-sectional survey of women seeking infertility treatment in Dodoma, Tanzania from January-March 2020. We surveyed 168 participants aged 18-49 years and reviewed their medical records to confirm infertility status and potential risk factors. We estimated prevalence ratios for factors associated with infertility using logistic regression. Treatment barriers were compared by women's regional zone to see if barriers varied geographically. Results: The median age of participants was 32 years (range: 18-48). Infertility factors did not vary greatly by patient demographics, behavioral/environmental, or reproductive risk factors. Approximately 31.48% of women had PID diagnoses. Those with PID had 1.94 (95% CI: 1.30, 2.90) times the prevalence of TFI diagnosis as those with other infertility factors, after adjusting for age, pesticide use, alcohol use, age at sexual debut, prior obstetric events, and family history of infertility. Logistical barriers to treatment, such as time and cost, were more frequently reported than emotional, stigma, or other barriers, regardless of regional zone. Conclusions: PID was strongly associated with TFI after adjustment for confounders. Infertility treatment access due to cost remains a challenge in Tanzania.

Indexed as

Infertility, FemaleAdolescentAdultCross-Sectional StudiesFemaleHealth Services AccessibilityHumansMedical RecordsMiddle AgedPelvic Inflammatory DiseasePrevalenceRisk FactorsSurveys and QuestionnairesTanzaniaYoung AdultInfectionInfertilityTanzania

Identifiers

PMID38974292
PMCPMC11225448

What OpenQuestion holds

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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.