Evidence map›Paper›PMID 29884608›Full record

Trial reportJournal of medical Internet research2018

Cost-Effectiveness of Facilitated Access to a Self-Management Website, Compared to Usual Care, for Patients With Type 2 Diabetes (HeLP-Diabetes): Randomized Controlled Trial.

Jinshuo Li, Steve Parrott, Michael Sweeting, Andrew Farmer, Jamie Ross, Charlotte Dack, Kingshuk Pal, Lucy Yardley, Maria Barnard, Mohammed Hudda and 2 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
5.5field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 73 citations in OpenAlex.

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  7. Cost-effectiveness of two online interventions supporting self-care for eczema for parents/carers and young people.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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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

12 authors at 8 institutions in 2 countries.

Jinshuo LiMental Health and Addiction Research Group, Department of Health sciences, University of York, York, United Kingdom.ORCID 0000-0003-1496-7450
Steve ParrottMental Health and Addiction Research Group, Department of Health sciences, University of York, York, United Kingdom.ORCID 0000-0002-0165-1150
Michael SweetingCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-0980-8965
Andrew FarmerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-6170-4402
Jamie RossResearch Department of Primary Care and Population Health, University College London, London, United Kingdom.ORCID 0000-0001-8720-5911
Charlotte DackDepartment of Psychology, University of Bath, Bath, United Kingdom.ORCID 0000-0002-5124-094X
Kingshuk PalResearch Department of Primary Care and Population Health, University College London, London, United Kingdom.ORCID 0000-0001-6630-6684
Lucy YardleyNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-3853-883X
Maria BarnardDepartment of Diabetes & Endocrinology, Whittington Health NHS Trust, London, United Kingdom.ORCID 0000-0003-1643-2644
Mohammed HuddaPopulation Health Research Institute, St. George's University of London, London, United Kingdom.ORCID 0000-0001-7894-1159
Ghadah AlkhaldiCommunity Health Sciences Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0001-9041-4546
Elizabeth MurrayResearch Department of Primary Care and Population Health, University College London, London, United Kingdom.ORCID 0000-0002-8932-3695
University College London · GBUniversity of Oxford · GBUniversity of York · GBKing Saud University · SASt George's, University of London · GBUniversity of Bath · GBUniversity of Cambridge · GBWhittington Health NHS Trust · GB

Funding

ARACHIDONATE METABOLISM IN GLOMERULONEPHRITIS/VASCULITISK08HL001313 · NHLBI · WASHINGTON UNIVERSITY · PI LEFKOWITH, JAMES B · 1985 to 1988
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British Heart Foundation RG/13/13/30194Department of Health RP-PG-0609-10135Medical Research Council MR/L003120/1
6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus is one of the most common long-term conditions, and costs health services approximately 10% of their total budget. Active self-management by patients improves outcomes and reduces health service costs. While the existing evidence suggested that uptake of self-management education was low, the development of internet-based technology might improve the situation.

objectiveTo establish the cost-effectiveness of a Web-based self-management program for people with type 2 diabetes (HeLP-Diabetes) compared to usual care.

methodsAn incremental cost-effectiveness analysis was conducted, from a National Health Service and personal and social services perspective, based on data collected from a multi-center, two-arm individually randomized controlled trial over 12 months. Adults aged 18 or over with a diagnosis of type 2 diabetes and registered with the 21 participating general practices (primary care) in England, UK, were approached. People who were unable to provide informed consent or to use the intervention, terminally ill, or currently participating in a trial of an alternative self-management intervention, were excluded. The participants were then randomized to either usual care plus HeLP-Diabetes, an interactive, theoretically-informed Web-based self-management program, or to usual care plus access to a comparator website containing basic information only. The participants' intervention costs and wider health care resource use were collected as well as two health-related quality of life measures: the Problem Areas in Diabetes (PAID) Scale and EQ-5D-3L. EQ-5D-3L was then used to calculate quality-adjusted life years (QALYs). The primary analysis was based on intention-to-treat, using multiple imputation to handle the missing data.

resultsIn total, 374 participants were randomized, with 185 in the intervention group and 189 in the control group. The primary analysis showed incremental cost-effectiveness ratios of £58 (95% CI -411 to 587) per unit improvement on PAID scale and £5550 (95% CI -21,077 to 52,356) per QALY gained by HeLP-Diabetes, compared to the control. The complete case analysis showed less cost-effectiveness and higher uncertainty with incremental cost-effectiveness ratios of £116 (95% CI -1299 to 1690) per unit improvement on PAID scale and £18,500 (95% CI -203,949 to 190,267) per QALY. The cost-effectiveness acceptability curve showed an 87% probability of cost-effectiveness at £20,000 per QALY willingness-to-pay threshold. The one-way sensitivity analyses estimated 363 users would be needed to use the intervention for it to become less costly than usual care.

conclusionsFacilitated access to HeLP-Diabetes is cost-effective, compared to usual care, under the recommended threshold of £20,000 to £30,000 per QALY by National Institute of Health and Care Excellence.

trial registrationInternational Standard Randomized Controlled Trial Number (ISRCTN) 02123133; http://www.controlled-trials.com/ISRCTN02123133 (Archived by WebCite at http://www.webcitation.org/6zqjhmn00).

Indexed as

Cost-Benefit AnalysisDiabetes Mellitus, Type 2FemaleHumansInternetMaleMiddle AgedQuality of LifeSelf-Managementcost-effectivenessinternetself-managementtype 2 diabetes mellitus

Identifiers

PMID29884608
PMCPMC6015272
OpenAlexW2806332266

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.