Evidence map›Paper›PMID 25926351›Full record

ArticleThe oncologist2015

Expanding Cervical Cancer Screening and Treatment in Tanzania: Stakeholders' Perceptions of Structural Influences on Scale-Up.

Renicha McCree, Mary Rose Giattas, Vikrant V Sahasrabuddhe, Pauline E Jolly, Michelle Y Martin, Stuart Lawrence Usdan, Connie Kohler, Nedra Lisovicz

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Exploring Recent Trends in Cervical Cancer Screening Uptake in Tanzania.The East African health research journal · 2025
    Article
  5. Article
  6. Review
  7. Article
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  13. Review
  14. Article
  15. Assessment of the scale-up of cervical cancer screening in Abidjan stratified by HIV status.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2019
    Article
  16. Review
  17. Cancer Training for Frontline Healthcare Providers in Tanzania.Journal of cancer education : the official journal of the American Association for Cancer Education · 2019
    Article
  18. Article
  19. Article
  20. 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 at 4 institutions in 1 country.

Renicha McCreeCenter for Global Health, National Cancer Institute, Rockville, Maryland, USA; renicha.mccree@nih.gov.
Mary Rose GiattasJhpiego, Dar es Salaam, Tanzania;
Vikrant V SahasrabuddheNational Cancer Institute, Rockville, Maryland, USA; Department of Global Health, Vanderbilt University, Nashville, Tennessee, USA;
Pauline E JollyDepartments of Epidemiology.
Michelle Y MartinPreventive Medicine, and.
Stuart Lawrence UsdanDepartment of Human Sciences, University of Alabama, Tuscaloosa, Alabama, USA.
Connie KohlerHealth Behavior, University of Alabama at Birmingham, Birmingham, Alabama, USA;
Nedra LisoviczPreventive Medicine, and.
University of Alabama at Birmingham · USNational Cancer Institute · USUniversity of Alabama · USVanderbilt Health · US

Funding

Cancer Prevention & Control Training ProgramR25CA047888 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DEMARK-WAHNEFRIED, WENDY, MENESES, KAREN M · 1988 to 2016
$11.2M
NCI NIH HHS CA47888NCI NIH HHS R25 CA047888
6 · The paper itself

Abstract

unlabelledTanzania has the highest burden of cervical cancer in East Africa. This study aims to identify perceived barriers and facilitators that influence scale-up of regional and population-level cervical cancer screening and treatment programs in Tanzania. Convenience sampling was used to select participants for this qualitative study among 35 key informants. Twenty-eight stakeholders from public-sector health facilities, academia, government, and nongovernmental organizations completed in-depth interviews, and a seven-member municipal health management team participated in a focus group discussion. The investigation identified themes related to the infrastructure of health services for cervical cancer prevention, service delivery, political will, and sociocultural influences on screening and treatment. Decentralizing service delivery, improving access to screening and treatment, increasing the number of trained health workers, and garnering political will were perceived as key facilitators for enhancing and initiating screening and treatment services. In conclusion, participants perceived that system-level structural factors should be addressed to expand regional and population-level service delivery of screening and treatment. IMPLICATIONS FOR PRACTICE: Tanzanian women have a high burden of cervical cancer. Understanding the perceived structural factors that may influence screening coverage for cervical cancer and availability of treatment may be beneficial for program scale-up. This study showed that multiple factors contribute to the challenge of cervical cancer screening and treatment in Tanzania. In addition, it highlighted systematic developments aimed at expanding services. This study is important because the themes that emerged from the results may help inform programs that plan to improve screening and treatment in Tanzania and potentially in other areas with high burdens of cervical cancer.

Indexed as

Early Detection of CancerHealth Knowledge, Attitudes, PracticeFemaleHumansPatient Acceptance of Health CareTanzaniaUterine Cervical NeoplasmsCervical cancerHealth services researchScreening and treatmentService delivery

Identifiers

PMID25926351
PMCPMC4571774
OpenAlexW2159613987

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.