Evidence map›Paper›PMID 36376897›Full record

ArticleInternational journal for equity in health2022

Financing care for Severe Stigmatizing Skin Diseases (SSSDs) in Liberia: challenges and opportunities.

John Solunta Smith, Karin Diaconu, Sophie Witter, Stefanie Weiland, F Zeela Zaizay, Sally Theobald, Rosalind McCollum, Karsor Kollie, Jerry Kollie, Hannah Berrian and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

14 authors at 4 institutions in 3 countries.

John Solunta SmithUniversity of Liberia Pacific Institute of Research and Evaluations, Monrovia, Liberia. jssmithjr21@gmail.com.
Karin DiaconuQueen Margaret University, Edinburgh, UK.
Sophie WitterQueen Margaret University, Edinburgh, UK.
Stefanie WeilandAmerican Leprosy Mission, Greenville, USA.
F Zeela ZaizayAction Transforming Lives, Monrovia, Liberia.
Sally TheobaldLiverpool School of Tropical Medicine, Liverpool, UK.
Rosalind McCollumLiverpool School of Tropical Medicine, Liverpool, UK.
Karsor KollieMinistry of Health (MoH), Monrovia, Liberia.
Jerry KollieUniversity of Liberia Pacific Institute of Research and Evaluations, Monrovia, Liberia.
Hannah BerrianUniversity of Liberia Pacific Institute of Research and Evaluations, Monrovia, Liberia.
India HotopfLiverpool School of Tropical Medicine, Liverpool, UK.
Lucas SempeQueen Margaret University, Edinburgh, UK.
Wede TateUniversity of Liberia Pacific Institute of Research and Evaluations, Monrovia, Liberia.
Laura DeanLiverpool School of Tropical Medicine, Liverpool, UK.
Liverpool School of Tropical Medicine · GBUniversity of Liberia · LRQueen Margaret University · GBAmerican Leprosy Missions · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNeglected tropical diseases (NTDs) are an important global health challenge, however, little is known about how to effectively finance NTD related services. Integrated management in particular, is put forward as an efficient and effective treatment modality. This is a background study to a broader health economic evaluation, seeking to document the costs of integrated case management of NTDs versus standard care in Liberia. In the current study, we document barriers and facilitators to NTD care from a health financing perspective.

methodsWe carried out key informant interviews with 86 health professionals and 16 national health system policymakers. 46 participants were active in counties implementing integrated case management and 40 participants were active in counties implementing standard care. We also interviewed 16 patients and community members. All interviews were transcribed and analysed using the thematic framework approach.

findingsWe found that decentralization for NTD financing is not yet achieved - financing and reporting for NTDs is still centralized and largely donor-driven as a vertical programme; government involvement in NTD financing is still minimal, focused mainly on staffing, but non-governmental organisations (NGOs) or international agencies are supporting supply and procurement of medications. Donor support and involvement in NTDs are largely coordinated around the integrated case management. Quantification for goods and budget estimations are specific challenges, given the high donor dependence, particularly for NTD related costs and the government's limited financial role at present. These challenges contribute to stockouts of medications and supplies at clinic level, while delays in payments of salaries from the government compromise staff attendance and retention. For patients, the main challenges are high transportation costs, with inflated charges due to fear and stigma amongst motorbike taxi riders, and out-of-pocket payments for medication during stockouts and food/toiletries (for in-patients).

conclusionOur findings contribute to the limited work on financing of SSSD services in West African settings and provide insight on challenges and opportunities for financing and large costs in accessing care by households, which is also being exacerbated by stigma.

Indexed as

Neglected DiseasesSkin DiseasesGlobal HealthHealth ExpendituresHumansLiberiaEquityHealth financingIntegrated case managementLiberiaNeglected tropical diseasesSevere Stigmatizing Skin Diseases

Identifiers

PMID36376897
PMCPMC9663287
OpenAlexW4308949842

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.