Evidence map›Paper›PMID 35410928›Full record

ArticleBMJ open2022

Study protocol for a pilot prospective, observational study investigating the condition suggestion and urgency advice accuracy of a symptom assessment app in sub-Saharan Africa: the AFYA-'Health' Study.

Elizabeth Millen, Nahya Salim, Hila Azadzoy, Mustafa Miraji Bane, Lisa O'Donnell, Marcel Schmude, Philipp Bode, Ewelina Tuerk, Ria Vaidya, Stephen Henry Gilbert

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04958577 (Clinic Waiting Room-based Pilot of Swahili Language Artificial Intelligence-driven Symptom Assessments in Primary Health Care Facilities, Dar es Salaam, Tanzania), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 42% 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.

NCT04958577 unknown statusnot on this map

Clinic Waiting Room-based Pilot of Swahili Language Artificial Intelligence-driven Symptom Assessments in Primary Health Care Facilities, Dar es Salaam, Tanzania

TypeobservationalSponsorAda Health GmbHRan2021 to 2022Enrolled109ConditionsAbdominal Pain/Gastrointestinal Issues, Lower Respiratory System Conditions, Upper Respiratory System Conditions, Mental Health ConditionsArmsAda Waiting Room App (WRA) and Ada Diagnostic Support Application (HDA)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 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

10 authors at 2 institutions in 2 countries.

Elizabeth Millen *Ada Health GmbH, Berlin, Germany.
Nahya Salim *Muhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Hila AzadzoyAda Health GmbH, Berlin, Germany.
Mustafa Miraji BaneMuhimbili University of Health and Allied Sciences, Dar es Salaam, United Republic of Tanzania.
Lisa O'DonnellAda Health GmbH, Berlin, Germany.
Marcel SchmudeAda Health GmbH, Berlin, Germany.ORCID 0000-0002-7519-1724
Philipp BodeAda Health GmbH, Berlin, Germany.
Ewelina TuerkAda Health GmbH, Berlin, Germany.
Ria VaidyaAda Health GmbH, Berlin, Germany.
Stephen Henry GilbertAda Health GmbH, Berlin, Germany science@ada.com.ORCID 0000-0002-1997-1689
Muhimbili University of Health and Allied Sciences · TZTechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDue to a global shortage of healthcare workers, there is a lack of basic healthcare for 4 billion people worldwide, particularly affecting low-income and middle-income countries. The utilisation of AI-based healthcare tools such as symptom assessment applications (SAAs) has the potential to reduce the burden on healthcare systems. The purpose of the AFYA Study (AI-based Assessment oF health sYmptoms in TAnzania) is to evaluate the accuracy of the condition suggestions and urgency advice provided by a user on a Swahili language Ada SAA. METHODS AND ANALYSIS: This study is designed as an observational prospective clinical study. The setting is a waiting room of a Tanzanian district hospital. It will include patients entering the outpatient clinic with various conditions and age groups, including children and adolescents. Patients will be asked to use the SAA before proceeding to usual care. After usual care, they will have a consultation with a study-provided physician. Patients and healthcare practitioners will be blinded to the SAA's results. An expert panel will compare the Ada SAA's condition suggestions and urgency advice to usual care and study provided differential diagnoses and triage. The primary outcome measures are the accuracy and comprehensiveness of the Ada SAA evaluated against the gold standard differential diagnoses. ETHICS AND DISSEMINATION: Ethical approval was received by the ethics committee (EC) of Muhimbili University of Health and Allied Sciences with an approval number MUHAS-REC-09-2019-044 and the National Institute for Medical Research, NIMR/HQ/R.8c/Vol. I/922. All amendments to the protocol are reported and adapted on the basis of the requirements of the EC. The results from this study will be submitted to peer-reviewed journals, local and international stakeholders, and will be communicated in editorials/articles by Ada Health. TRIAL REGISTRATION NUMBER: NCT04958577.

Indexed as

Mobile ApplicationsAdolescentChildHumansObservational Studies as TopicPilot ProjectsProspective StudiesSymptom AssessmentTanzaniaGENERAL MEDICINE (see Internal Medicine)Health informaticsPAEDIATRICS

Identifiers

PMID35410928
PMCPMC9003603
OpenAlexW4223431618

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.