Evidence map›Paper›PMID 38265852›Full record

ArticleJMIR diabetes2024

The Potential of a Digital Weight Management Program to Support Specialist Weight Management Services in the UK National Health Service: Retrospective Analysis.

Rebecca Richards, Gina Wren, Michael Whitman

Abstract read
In one paragraph

Article in JMIR diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Observational
  10. 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

3 authors.

Rebecca Richards *Second Nature, London, United Kingdom.ORCID https://orcid.org/0000-0001-7122-6822
Gina WrenNuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0001-9262-7043
Michael WhitmanSecond Nature, London, United Kingdom.ORCID https://orcid.org/0000-0001-7144-7545

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital weight management interventions (DWMIs) have the potential to support existing specialist weight management services (SWMS) in the National Health Service (NHS) to increase access to treatment for people living with obesity and type 2 diabetes. At present, there is limited real-world evidence and long-term outcomes on the potential effectiveness of DWMIs to support such services.

objectiveThis study aimed to examine real-world data to evaluate the impact of Second Nature's 12-month DWMI for patients living with obesity with or without type 2 diabetes, referred from NHS primary care services, on sustained weight loss over a 2-year period.

methodsRetrospective data were extracted in August 2023 for participants who participated in the program between January 1, 2017, and January 8, 2021. Eligible participants were adults with a BMI ≥35 kg/m

resultsA total of 1130 participants with a mean baseline BMI of 46.3 (SD 31.6) kg/m

conclusionsThe findings suggested that Second Nature's DWMI has the potential to support people living with obesity and type 2 diabetes remotely to achieve clinically significant and sustained weight loss at 2 years from baseline. Further research is needed to compare the intervention to standard care and assess integration with multidisciplinary clinical teams and pharmacotherapy in order to support this study's findings.

Indexed as

clinicaldiabetesdiabetes managementdigital healthdigital health interventioneffectivenessmanagemanagementmobile phoneobesityobesity managementprimary careprimary care serviceretrospective analysissmartphonesupporttreatmenttype 2 diabetesweightweight lossweight management

Identifiers

PMID38265852
PMCPMC10851119

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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.