Evidence map›Paper›PMID 37545653›Full record

ArticlePatient preference and adherence2023

Growth Hormone Injection Log Analysis with Electronic Injection Device for Qualifying Adherence to Low-Irritant Formulation and Exploring Influential Factors on Adherence.

Kei Takasawa, Hiroyo Mabe, Fusa Nagamatsu, Naoko Amano, Yuichi Miyakawa, Akito Sutani, Reiko Kagawa, Satoshi Okada, Yusuke Tanahashi, Shigeru Suzuki and 6 more

Abstract read
In one paragraph

Article in Patient preference and adherence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kei TakasawaDepartment of Pediatrics and Developmental Biology, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.ORCID 0000-0001-6947-4034
Hiroyo MabeDepartment of Pediatrics, Kumamoto University Hospital, Kumamoto, Japan.ORCID 0009-0009-7880-0335
Fusa NagamatsuDepartment of Pediatrics, Kumamoto University Hospital, Kumamoto, Japan.
Naoko AmanoDepartment of Pediatrics, Saitama City Hospital, Saitama, Japan.
Yuichi MiyakawaDepartment of Pediatrics, Kawaguchi Municipal Medical Center, Saitama, Japan.
Akito SutaniDepartment of Pediatrics, Kawaguchi Municipal Medical Center, Saitama, Japan.ORCID 0000-0003-1393-5203
Reiko KagawaDepartment of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.
Satoshi OkadaDepartment of Pediatrics, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan.ORCID 0000-0002-4622-5657
Yusuke TanahashiDepartment of Pediatrics, Asahikawa Medical University, Asahikawa, Japan.
Shigeru SuzukiDepartment of Pediatrics, Asahikawa Medical University, Asahikawa, Japan.
Shota HiroshimaDivision of Pediatrics, Department of Homeostatic Regulation and Development, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Keisuke NagasakiDivision of Pediatrics, Department of Homeostatic Regulation and Development, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan.
Sumito DatekiDepartment of Pediatrics, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Shigeru TakishimaDepartment of Pediatrics, Soka Municipal Hospital, Saitama, Japan.
Ikuko TakahashiDepartment of Pediatrics, Akita University Graduate School of Medicine, Akita, Japan.
Kenichi KashimadaDepartment of Pediatrics and Developmental Biology, Tokyo Medical and Dental University (TMDU), Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although the treatment success of long-term growth hormone therapy (GHT) is dependent on maintaining patients' adherence to treatment, marked variations in adherence levels among children with GHT (eg, 7-71% nonadherence) have been reported. Barriers to or promoters of GHT adherence have been discussed and investigated, and digital health technologies, such as electronic GH injection devices, may have the potential to assess adherence to GHT more accurately. Thus, we conducted a multicenter, retrospective cohort study using GH injection log analysis of an electronic GH device, GROWJECTOR Methods: This study enrolled 41 patients (median[range] age, 5.8[3.0 ~ 17.0] years) with short stature from nine Japanese medical institutions. The injection log data (12-48 weeks) were read by smartphones and collected into the data center through a cloud server. Results: Although cumulative adherence rates remained higher than 95% throughout the observation period, five (12.2%) patients had low adherence (<85%). Subsequently, subgroup and logistic regression analyses for exploring factors affecting adherence revealed that self-selection of GH device and irregular injection schedule (ie, frequent injections after midnight) significantly affected adherence rate ( Discussion: Our study indicated that injection log analysis using an electronic GH device could detect irregular injection schedules due to a night owl or disturbance in lifetime rhythm affecting low adherence and had significant potential to encourage collaborative monitoring of adherence with healthcare providers and patients themselves/caregivers, along with growing autonomy and shared decision-making. Our study suggests the significance of narrative and personal approaches to adherence of patients with GHT and the usefulness of digital devices for such an approach and for removing various barriers to patient autonomy, leading to improvement and maintenance of adherence.

Indexed as

digital health technologyGH therapypatient autonomyshared decision- making

Identifiers

PMID37545653
PMCPMC10404042

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.