Evidence map›Paper›PMID 30672740›Full record

ArticleJMIR medical informatics2019

Information Technology-Assisted Treatment Planning and Performance Assessment for Severe Thalassemia Care in Low- and Middle-Income Countries: Observational Study.

Rajat Kumar Agarwal, Amit Sedai, Kumari Ankita, Lalith Parmar, Rakesh Dhanya, Sunil Dhimal, Reshma Sriniwas, Ashwini Gowda, Pooja Gujjal, Pushpa H and 6 more

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2019. 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
0.4field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

16 authors at 6 institutions in 3 countries.

Rajat Kumar AgarwalJagriti InnoHealth Platforms Private Ltd, Bangalore, India.ORCID http://orcid.org/0000-0003-4864-6479
Amit SedaiJagriti InnoHealth Platforms Private Ltd, Bangalore, India.ORCID http://orcid.org/0000-0001-7149-929X
Kumari AnkitaJagriti InnoHealth Platforms Private Ltd, Bangalore, India.ORCID http://orcid.org/0000-0002-5344-7813
Lalith ParmarJagriti InnoHealth Platforms Private Ltd, Bangalore, India.ORCID http://orcid.org/0000-0002-9910-8307
Rakesh DhanyaSankalp India Foundation, Bangalore, India.ORCID http://orcid.org/0000-0002-9432-502X
Sunil DhimalJagriti InnoHealth Platforms Private Ltd, Bangalore, India.ORCID http://orcid.org/0000-0002-6118-8380
Reshma SriniwasProject Samraksha, Rashtrotthana Parishat, Bangalore, India.ORCID http://orcid.org/0000-0001-8294-2330
Ashwini GowdaProject Samraksha, Rashtrotthana Parishat, Bangalore, India.ORCID http://orcid.org/0000-0003-2260-2179
Pooja GujjalIndira Gandhi Institute of Child Health, Bangalore, India.ORCID http://orcid.org/0000-0001-9809-089X
Pushpa HSankalp India Foundation, Bangalore, India.ORCID http://orcid.org/0000-0003-4107-9096
Suman JainThalassemia and Sickle Cell Society, Hyderabad, India.ORCID http://orcid.org/0000-0001-6237-1913
J Dasaratha RamaiahRural Development Trust Hospital, Ananthpur, India.ORCID http://orcid.org/0000-0002-8184-279X
Sujata JaliJawaharlal Nehru Medical College, Belgaum, India.ORCID http://orcid.org/0000-0002-4554-2650
Neelavva Rayappa TallurJawaharlal Nehru Medical College, Belgaum, India.ORCID http://orcid.org/0000-0002-5936-4736
Stalin RamprakashSankalp-People Tree Centre for Pediatric Bone Marrow Transplant, People Tree Hospitals, Bangalore, India.ORCID http://orcid.org/0000-0003-1014-3702
Lawrence FaulknerSankalp India Foundation, Bangalore, India.ORCID http://orcid.org/0000-0002-5756-8567
BC Platforms (Finland) · FIAsha Foundation · INJawaharlal Nehru Medical College · INIndira Gandhi Institute of Child Health · INMedical Trust Hospital · INTrend Micro (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuccessful models of information and communication technology (ICT) applied to cost-effective delivery of quality care in low- and middle-income countries (LMIC) are an increasing necessity. Severe thalassemia is one of the most common life-threatening noncommunicable diseases of children globally.

objectiveThe aim was to study the impact of ICT on quality of care for severe thalassemia patients in LMIC.

methodsA total of 1110 patients with severe thalassemia from five centers in India were followed over a 1-year period. The impact of consistent use of a Web-based platform designed to assist comprehensive management of severe thalassemia (ThalCare) on key indicators of quality of care such as minimum (pretransfusion) hemoglobin, serum ferritin, liver size, and spleen size were assessed.

resultsOverall improvements in initial hemoglobin, ferritin, and liver and spleen size were significant (P<.001 for each). For four centers, the improvement in mean pretransfusion hemoglobin level was statistically significant (P<.001). Four of five centers achieved reduction in mean ferritin levels, with two displaying a significant drop in ferritin (P=.004 and P<.001). One of the five centers did not record liver and spleen size on palpation, but of the remaining four centers, two witnessed a large drop in liver and spleen size (P<.01), one witnessed moderate drop (P=.05 for liver; P=.03 for spleen size), while the fourth witnessed a moderate increase in liver size (P=.08) and insignificant change in spleen size (P=.12).

conclusionsImplementation of computer-assisted treatment planning and performance assessment consistently and positively impacted indexes reflecting effective delivery of care to patients suffering from severe thalassemia in LMIC.

Indexed as

health information technologieshealth planningpatient outcome assessmentβ-thalassemia major

Identifiers

PMID30672740
PMCPMC6364210
OpenAlexW2884901481

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.