Evidence map›Paper›PMID 36727575›Full record

ArticleMolecular genetics & genomic medicine2023

Access to healthcare for people with sickle cell disease: Views of healthcare professionals on policies and practices.

Obi Peter Adigwe

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

1 author at 1 institution in 1 country.

Obi Peter AdigweNational Institute for Pharmaceutical Research and Development, Abuja, Nigeria.ORCID 0000-0001-8832-6459
National Institute for Pharmaceutical Research and Development · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSickle cell disease is a genetic disorder with its highest prevalence in Nigeria. The condition causes red blood cells to turn rigid, and consequently, results to several complications including organ damage. This study aimed at assessing views of health practitioners in Nigeria on policies and practices in the area of access to healthcare services for sickle cell disease.

methodsA cross-sectional study was undertaken amongst healthcare professionals in Nigeria. Data were collected using a self-administered questionnaire, and analyses were undertaken using Statistical Package for Social Sciences software.

resultsA significant proportion of the participants (42.8%) disagreed that relevant legislative framework exists to facilitate optimal access to high-quality healthcare services for persons with sickle cell disorder in Nigeria. Two-thirds of the study cohort were of the opinion that public health surveillance towards sickle cell disease was suboptimal (61.2%). Also, more than three-quarters of the respondents (78.7%) indicated that the cost of managing sickle cell disease was not affordable to majority of affected Nigerians.

conclusionThis study provides critical insights into access to healthcare services for sickle cell disease. As such, challenges preventing access to healthcare services for sickle cell patients which have been identified in this study can underpin the development of contextual policies to address them.

Indexed as

Anemia, Sickle CellHealth Knowledge, Attitudes, PracticeCross-Sectional StudiesHealth PersonnelHumansPolicygenotypehealthcareNigeriapoliciessickle cell

Identifiers

PMID36727575
PMCPMC10178791
OpenAlexW4318924608

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.