Evidence map›Paper›PMID 34505044›Full record

ArticleCJC open2021

Cost-Comparison Analysis of a Physician-Delivered Step-Count Prescription Strategy.

Tarsan Sangarapillai, Mohammad Hajizadeh, Stella S Daskalopoulou, Kaberi Dasgupta

Open access · goldAbstract read
In one paragraph

Article in CJC open, 2021. 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
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

4 authors at 3 institutions in 1 country.

Tarsan SangarapillaiCentre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Mohammad HajizadehSchool of Health Administration, Faculty of Health, Dalhousie University, Halifax, Nova Scotia, Canada.
Stella S DaskalopoulouDepartment of Medicine, McGill University, Montreal, Quebec, Canada.
Kaberi DasguptaCentre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
McGill University Health Centre · CADalhousie University · CAMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncrements of 1000 steps/d predict cardiovascular disease (CVD) event reductions. In adults with type 2 diabetes and/or hypertension, our

methodsWe considered Canadians aged 55 to 74 years with type 2 diabetes and/or hypertension. Using time estimates from our trial, we computed nursing costs corresponding to patient support time over 1 year, and pedometer costs for an anticipated 50% of patients without a smartphone. We estimated the number of CVD hospitalizations, the reduction expected with a mean 1000 steps/d increase, and the associated savings. We calculated the net cost (savings), the proportion of patients with their own device required for cost neutrality, and costs (savings) if all patients needed to be provided with a device.

resultsAt an average intervention cost of $51.28/patient, the total cost would be $168 million. With an estimated 8875 CVD events prevented, $208 million would be saved. This savings would result in ~$40 million in net savings with 50% device ownership, cost neutrality with 25% device ownership, and ~$42 million in net costs if all patients required the healthcare system to provide a device.

conclusionsAt current levels of smartphone ownership, adoption of the SMARTER strategy is cost-saving to cost-neutral from the healthcare system perspective.

Identifiers

PMID34505044
PMCPMC8413227
OpenAlexW3161762072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.