Evidence map›Paper›PMID 33902570›Full record

ArticleBMC medical informatics and decision making2021

Connected health for growth hormone treatment research and clinical practice: learnings from different sources of real-world evidence (RWE)-large electronically collected datasets, surveillance studies and individual patients' cases.

Nea Boman, Luis Fernandez-Luque, Ekaterina Koledova, Marketta Kause, Risto Lapatto

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Observational
  2. Precision diagnostics in children.Cambridge prisms. Precision medicine · 2023
    Review
  3. Article
  4. 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

5 authors at 2 institutions in 2 countries.

Nea BomanPaediatric Endocrinology, Children's Hospital, University of Helsinki and Helsinki University Central Hospital, Stenbackinkatu 11, PO BOX 281, 00029, Helsinki, Finland. ext-nea.boman@hus.fi.ORCID 0000-0001-7613-3297
Luis Fernandez-LuqueAdhera Health Inc., Palo Alto, CA, USA.ORCID 0000-0001-8165-9904
Ekaterina KoledovaGlobal Medical Affairs Cardiometabolic and Endocrinology, Merck KGaA, Darmstadt, Germany.ORCID 0000-0003-2572-9052
Marketta KauseMedical Department, Merck Oy Finland (an affiliate of Merck KGaA, Darmstadt, Germany), Espoo, Finland.
Risto LapattoPaediatric Endocrinology, Children's Hospital, University of Helsinki and Helsinki University Central Hospital, Stenbackinkatu 11, PO BOX 281, 00029, Helsinki, Finland.ORCID 0000-0002-8030-2505
Merck (Germany) · DEUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA range of factors can reduce the effectiveness of treatment prescribed for the long-term management of chronic health conditions, such as growth disorders. In particular, prescription medications may not achieve the positive outcomes expected because approximately half of patients adhere poorly to the prescribed treatment regimen.

methodsAdherence to treatment has previously been assessed using relatively unreliable subjective methods, such as patient self-reporting during clinical follow-up, or counting prescriptions filled or vials returned by patients. Here, we report on a new approach, the use of electronically recorded objective evidence of date, time, and dose taken which was obtained through a comprehensive eHealth ecosystem, based around the easypod™ electromechanical auto-injection device and web-based connect software. The benefits of this eHealth approach are also illustrated here by two case studies, selected from the Finnish cohort of the easypod™ Connect Observational Study (ECOS), a 5-year, open-label, observational study that enrolled children from 24 countries who were being treated with growth hormone (GH) via the auto-injection device.

resultsAnalyses of data from 9314 records from the easypod™ connect database showed that, at each time point studied, a significantly greater proportion of female patients had high adherence (≥ 85%) than male patients (2849/3867 [74%] vs 3879/5447 [71%]; P < 0.001). Furthermore, more of the younger patients (< 10 years for girls, < 12 years for boys) were in the high adherence range (P < 0.001). However, recursive partitioning of data from ECOS identified subgroups with lower adherence to GH treatment ‒ children who performed the majority of injections themselves at an early age (~ 8 years) and teenagers starting treatment aged ≥ 14 years.

conclusionsThe data and case studies presented herein illustrate the importance of adherence to GH therapy and how good growth outcomes can be achieved by following treatment as described. They also show how the device, software, and database ecosystem can complement normal clinical follow-up by providing HCPs with reliable information about patient adherence between visits and also providing researchers with real-world evidence of adherence and growth outcomes across a large population of patients with growth disorders treated with GH via the easypod™ device.

Indexed as

Human Growth HormoneAdolescentChildFemaleGrowth DisordersGrowth HormoneHumansMalePatient ComplianceGrowth HormoneHuman Growth HormoneAdherence monitoringEHealthGrowth outcomesObservational study

Identifiers

PMID33902570
PMCPMC8074467
OpenAlexW3158327305

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.