Evidence map›Paper›PMID 40873682›Full record

ArticleJournal of diabetes and metabolic disorders2025

Developing a pilot study protocol and lessons from Iran for the integrated and repeated public health surveillance system (IRPHS).

Yosra Azizpour, Reyhaneh Ehsani, Keyvan Karimi, Alireza Olyaeemanesh, Alireza Delavari, Abbas Vosoogh-Moghaddam, Maryam Shafaati, Azita Karimi, Ali Nikfarjam, Samaneh Akbarpour

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2025. 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
–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

3 citing papers in PubMed.

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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

10 authors.

Yosra AzizpourOccupational Sleep Research Center, Baharloo Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Reyhaneh EhsaniCommunity Medicine Specialist, Public Health Services Renovation Secretariat, Health Deputy, Tehran university of Medical Sciences, Tehran, Iran.
Keyvan KarimiDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Alireza OlyaeemaneshHealth Equity Research Center and National Institute for Health Research, Tehran University of Medical Sciences, Tehran, Iran.
Alireza DelavariDigestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Abbas Vosoogh-MoghaddamGovernance and Health Training and Research Department, National Institute of Health Research, Tehran University of Medical Sciences, Tehran, Iran.
Maryam ShafaatiResearch Center for Antibiotic Stewardship and Antimicrobial Resistance, Infectious Diseases Department, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Azita KarimiDepartment of Health, Noncommunicable Disease Group, Tehran University of Medical Sciences, Tehran, Iran.
Ali NikfarjamCommunicable Diseases Control and Prevention Ward, Deputy of Health, Tehran University of Medical Sciences, Tehran, Iran.
Samaneh AkbarpourNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to design a cost-benefit Integrated and Repeated Public Health Surveillance System (IRPHS) to monitor key health indicators, identify emerging health concerns, and support community health interventions through the provision of timely and systematic data for informed policymaking. Methods: This study introduced a novel framework for public health surveillance in Iran by integrating multidisciplinary indicators into a single, telephone-based platform. Using structured consensus across 32 expert panels, remote-friendly and policy-relevant indicators were identified and operationalized. The measurement tool underwent rigorous face and content validation involving subject-matter experts and community representatives. The survey protocol incorporated a nationally trusted phone infrastructure (4030 line), stratified sampling, and adaptive outreach strategies, creating a scalable model. Further innovation included real-time supervision mechanisms, enhancing data accuracy, population representativeness, and implementation feasibility in resource-limited settings. Results: A total of 110 validated indicators were identified across nine key public health domains: service receipt, non-communicable diseases (NCDs), communicable diseases, behavioral risk factors (including smoking, nutrition, and physical activity), dentistry, health of males and females, health literacy, psychological disorders, and population characteristics. Data were collected through 75 structured questions during a pilot study involving 1,311 individuals aged 18 and above from southern Tehran. The mean age of participants was 39.7 years (standard error [SE]: 0.43), with 50.63% males [95% confidence interval (CI): 47.66, 53.60]. Conclusions: The IRPHS framework shows promise for national scale-up and integration into routine public health monitoring for timely and localized policy response. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-025-01698-2.

Indexed as

Communicable diseasesIranNon-communicable diseasesPublic healthSurveillance system

Identifiers

PMID40873682
PMCPMC12378797

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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.