Evidence map›Paper›PMID 27547126›Full record

ArticlePopulation health metrics2016

A feasibility study on using smartphones to conduct short-version verbal autopsies in rural China.

Jing Zhang, Rohina Joshi, Jixin Sun, Samantha R Rosenthal, Miao Tong, Cong Li, Rasika Rampatige, Meghan Mooney, Alan Lopez, Lijing L Yan

Abstract readEvaluation Study
In one paragraph

Article in Population health metrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Jing ZhangThe George Institute for Global Health at Peking University Health Science Center, Beijing, People's Republic of China.
Rohina JoshiThe George Institute for Global Health, University of Sydney, Sydney, Australia.
Jixin SunThe Center for Disease Prevention and Control, Shijiazhuang, Hebei People's Republic of China.
Samantha R RosenthalDepartment of Epidemiology, Brown University School of Public Health, Providence, USA.
Miao TongInstitute of Medical Humanities, Peking University Health Science Center, Beijing, People's Republic of China.
Cong LiThe School of Public Health, Peking University Health Science Center, Beijing, People's Republic of China.
Rasika RampatigeMelbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Meghan MooneyInstitute for Health Metrics and Evaluation at the University of Washington, Seattle, USA.
Alan LopezMelbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
Lijing L YanThe George Institute for Global Health at Peking University Health Science Center, Beijing, People's Republic of China ; Duke Global Health Institute, Duke University, Durham, NC USA ; Global Health Research Center, Duke Kunshan University, Kunshan, People's Republic of China.

Funding

NHLBI NIH HHS HHSN268200900034C
6 · The paper itself

Abstract

backgroundCurrently there are two main sources of mortality data with cause of death assignments in China. Both sources-the Ministry of Health-Vital Registration system and the Chinese Disease Surveillance Point system-present their own challenges. A new approach to cause of death assignment is a smartphone-based shortened version of a verbal autopsy survey. This study evaluates the feasibility and acceptability of this new method conducted by township health care providers (THP) and village doctors (VD) in rural China, where a large proportion of deaths occur in homes and cause of death data are inaccurate or lacking.

methodsThe Population Health Metrics Research Consortium mobile phone-based shortened verbal autopsy questionnaire was made available on an Android system-based application, and cause of death was derived using the Tariff method (Tariff 2.0); we called this set of tools "msVA." msVA was administered to relatives of the deceased by six THPs and six VDs in 24 villages located in six townships of Luquan County, Hebei Province, China. Subsequently, interviews were conducted among 12 interviewers, 12 randomly selected respondents, and five study staff to assess the feasibility and acceptability of using msVA for mortality data collection.

resultsBetween July 2013 and August 2013, 268 deaths took place in the study villages. Among the 268 deaths, 227 VAs were completed (nine refusals, 31 migrations and one loss of data due to breakdown of the smartphone). The average time for a VA interview was 21.5 ± 3.4 min (20.1 ± 3.5 min for THP and 23.2 ± 4.1 min for VD). Both THPs and VDs could be successful interviewers; the latter needed more training but had more willingness to implement msVA in the future. The interviews revealed that both interviewers and relatives of the deceased found msVA to be feasible, acceptable, and more desirable than traditional methods. The cost of conducting a new VA was $8.87 per death.

conclusionsConduction of msVA by VDs in their own villages was feasible and acceptable in rural northern China. Broader implementation of msVA across rural China could potentially improve the coverage and quality of cause of death data, allowing for better national health evaluation and program planning.

Indexed as

AutopsyCause of DeathDeathMobile ApplicationsRural PopulationSmartphoneChinaFamilyFeasibility StudiesHealth PersonnelHumansSurveys and QuestionnairesCause of deathFeasibility studymsVASmartphone-basedTownship health care providerVerbal autopsyVillage doctor

Identifiers

PMID27547126
PMCPMC4992268

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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.