Evidence map›Paper›PMID 31744271›Full record

ReviewJournal of clinical research in pediatric endocrinology2020

Managing Paediatric Growth Disorders: Integrating Technology Into a Personalised Approach

Jenny Child, Christine Davies, Katie Frost, Eleanor McDermid, Rachel Pidcock, John Weinman, Martin O. Savage

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of clinical research in pediatric endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jenny ChildThe Child Growth Foundation, Sutton Coldfield, UKORCID 0000-0002-4928-8290
Christine DaviesUniversity Hospital of Wales, Noah’s Ark Children’s Hospital for Wales, Children’s Hospital, Cardiff, UKORCID 0000-0003-1864-1781
Katie FrostThe Straw Barn, Upton End Farm Business Park, Bedfordshire, UKORCID 0000-0002-9315-189X
Eleanor McDermidSpringer Healthcare IME, The Campus, London, UKORCID 0000-0002-5446-5693
Rachel PidcockThe Child Growth Foundation, Sutton Coldfield, UKORCID 0000-0001-8811-2733
John WeinmanKing’s College London, Institute of Pharmaceutical Science, London, UKORCID 0000-0002-6786-0166
Martin O. SavageBarts and the London School of Medicine and Dentistry, William Harvey Research Institute, Centre of Endocrinology, London, UKORCID 0000-0001-7902-3376

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term growth management can be challenging for patients, families and healthcare professionals (HCP). Personalised optimal responses to growth hormone (GH) therapy depend on the creation of a good working relationship between the patient and family and the HCPs responsible for care. Current unmet needs in growth management will be discussed, focusing on the likelihood of a poor growth response and its identification and management with emphasis on the importance of good adherence to GH therapy. Digital tools are now available to record injections and communicate accurate adherence data to the HCP and patient. Psychological barriers to good adherence will be covered, with techniques identified to change behaviour and improve outcome. Motivational interviewing is a valuable skill in this respect and should be taught to both medical and nursing HCPs to enhance the quality of the relationship with the patient and family. Key messages are, firstly, the importance of personalised care with the HCP using acquired psychological skills to prevent and manage poor adherence. Secondly, a human-eHealth partnership is necessary to maximise the benefit of new digital tools to aid in successful growth management.

Indexed as

InventionsChildChild DevelopmentDelivery of Health Care, IntegratedGrowth DisordersHumansPediatricsPrecision Medicineadherencee-HealthGrowthgrowth hormonemotivational interviewing

Identifiers

PMID31744271
PMCPMC7499133

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.