Evidence map›Paper›PMID 38428996›Full record

ArticleGlobal health, science and practice2024

Lessons Learned From Telephone-Based Data Collection for Health and Demographic Surveillance Systems During the COVID-19 Pandemic in Indonesia.

Prima Dhewi Ratrikaningtyas, Lutfan Lazuardi, Agung Nugroho, Amirah Ellyza Wahdi, Rahsunji Intan Nurvitasari, Luthfi Azizatunnisa, Alfianto Hanafiah, Septi Kurnia Lestari, Ratri Kusuma Wardani, Putri Tiara Rosha and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Global health, science and practice, 2024. 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, top 96% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  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

15 authors at 1 institution in 1 country.

Prima Dhewi RatrikaningtyasDepartment of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia. primadhewi@ugm.ac.id.
Lutfan LazuardiSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Agung NugrohoSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Amirah Ellyza WahdiDepartment of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Rahsunji Intan NurvitasariSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Luthfi AzizatunnisaSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Alfianto HanafiahSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Septi Kurnia LestariSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Ratri Kusuma WardaniSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Putri Tiara RoshaSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Aviria ErmamiliaSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Fitrina Mahardani KusumaningrumSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Vena JaladaraSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Yayuk HartriyantiSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia.
Fatwa Sari Tetra DewiSleman Health and Demographic Surveillance System, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Sleman Regency, Indonesia. primadhewi@ugm.ac.id.
Universitas Gadjah Mada · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Sleman Health and Demographic Surveillance System (HDSS) is a longitudinal survey held routinely since 2014 to collect demographic, social, and health changes in Sleman Regency, Special Region of Yogyakarta, Indonesia. During the COVID-19 pandemic in Indonesia, we needed to adjust our method of conducting data collection from in-person to telephone interviews. We describe the Sleman HDSS data collection strategy used and the opportunities it presented. First, the Sleman HDSS team completed a feasibility study and adjusted the standard operational procedures to conduct telephone interviews. Then, the Sleman HDSS team collected data via a telephone interview in September-October 2020. Ten interviewers were equipped with an e-HDSS data collection application installed on an Android-based tablet to collect data. The sample targeted was 5,064 households. The telephone-based data collection successfully interviewed 1,674 households (33% response rate) in 17 subdistricts. We changed the data collection strategy so that the Sleman HDSS could still be conducted and we could get the latest data from the population. Compared to in-person interviewing, data collection via telephone was sufficiently practical. The telephone interview was a safe and viable data collection method. To increase the response rate, telephone number activation could be checked, ways of building rapport could be improved, and engagement could be improved by using social capital.

Indexed as

COVID-19Data CollectionTelephoneAdultDemographyFemaleHumansIndonesiaInterviews as TopicLongitudinal StudiesMaleMiddle AgedPandemicsPopulation SurveillanceSARS-CoV-2

Identifiers

PMID38428996
PMCPMC11057803
OpenAlexW4392387195

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.