Evidence map›Paper›PMID 37849931›Full record

ReviewThe Lancet regional health. Southeast Asia2023

Establishing a novel partnership model to deploy health services for children with autism in a low-resource setting - experience from Sri Lanka.

Bhavana Sivayokan, Sambasivamoorthy Sivayokan, Thirunavukarasu Kumanan, Gitanjali Sathiadas, Nadarajah Sreeharan

Abstract readReview
In one paragraph

Review in The Lancet regional health. Southeast Asia, 2023. 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
–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

2 citing papers in PubMed.

  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

5 authors.

Bhavana SivayokanDepartment of Biochemistry, University of Jaffna, Adiyapatham Road, Kokuvil West, Kokuvil, Sri Lanka.
Sambasivamoorthy SivayokanDepartment of Psychiatry, University of Jaffna, Adiyapatham Road, Kokuvil West, Kokuvil, Sri Lanka.
Thirunavukarasu KumananDepartment of Medicine, University of Jaffna, Adiyapatham Road, Kokuvil West, Kokuvil, Sri Lanka.
Gitanjali SathiadasDepartment of Paediatrics, University of Jaffna, Adiyapatham Road, Kokuvil West, Kokuvil, Sri Lanka.
Nadarajah SreeharanDepartment of Medicine, University of Jaffna, Adiyapatham Road, Kokuvil West, Kokuvil, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sri Lanka is representative of challenges faced by low-income and middle-income countries, including the rise in the prevalence of autism and the lack of sufficient autism-specific services in the state sectors. The experience in establishing a Center to provide services for children with autism in Northern Sri Lanka is described. Funding and resourcing were accessed through an innovative partnership-based public/non-governmental organisation/charity model, where service-based outcomes were the main objectives. This model, incorporating state institutions, local and international charity organisations, and volunteers, devised a bespoke approach to care provision using the available resources under the clinical supervision of a consultant psychiatrist and the administrative purview of the Regional Director of Health Services. The evolution of this Center into a Learning Health System is described, reflecting how a minimalistic partnership approach focused on the integration of existing organisations and services could be a feasible model for the delivery of high-quality healthcare in low-resource settings.

Indexed as

AutismLow resource settingSri LankaViewpoint

Identifiers

PMID37849931
PMCPMC10577136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.