Evidence map›Paper›PMID 39755986›Full record

ArticleEcoHealth2025

Pathways to One Health: Enhancing Inter-Sectoral Collaboration in Pakistan.

Muhammad Ahmed Abdullah, Babar Tasneem Shaikh

Abstract read
PubMed Publisher
In one paragraph

Article in EcoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Muhammad Ahmed AbdullahHealth Services Academy, Chak Shahzad, Park Road, Islamabad, 44000, Pakistan.
Babar Tasneem ShaikhHealth Services Academy, Chak Shahzad, Park Road, Islamabad, 44000, Pakistan. shaikh.babar@gmail.com.ORCID 0000-0002-2056-4132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One Health is an integrative approach aiming to achieve optimal health outcomes by recognizing the interconnection between humans, animals, and the environment. This study explores the understanding, perspectives, hurdles, and implications of intersectoral collaboration within Pakistan's human health system, focusing on One Health principles. A qualitative phenomenological approach was employed, involving 17 key informant interviews with purposively selected stakeholders from public health, agriculture, veterinary medicine, agriculture and environmental science. Thematic analysis was conducted to generate themes. There are varying levels of understanding and awareness of One Health principles, with some showing strong comprehension; while, others showed significant knowledge gaps. Barriers such as institutional silos, fragmented policies, and limited resources were identified for operationalizing the intersectoral collaboration requisite for One Health. Successful collaborative initiatives demonstrated the potential of One Health in achieving significant health outcomes. Meaningful engagement of stakeholders and capacity building emerged as critical needs, with recommendations for continuous in-service training centered on One Health principles. Unified policies, strengthened institutional support, and continuous capacity building will enhance One Health agenda. Overarching governance and decentralized decision-making processes can promote consistency and cooperation across sectors for advancing One Health initiatives and effectively addressing complex human health challenges in Pakistan.

Indexed as

Intersectoral CollaborationOne HealthAgricultureAnimalsCapacity BuildingCooperative BehaviorHumansInterviews as TopicPakistanPublic HealthQualitative ResearchCapacity buildingIntersectoral collaborationOne HealthPakistan

Identifiers

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.