Evidence map›Paper›PMID 30005751›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2018

Long-Term Health and Economic Value of Improved Mobility among Older Adults in the United States.

Mina Kabiri, Michelle Brauer, Jason Shafrin, Jeff Sullivan, Thomas M Gill, Dana P Goldman

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Review
  3. Observational
  4. Article
  5. Article
  6. The value of walking: a systematic review on mobility and healthcare costs.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2022
    Review
  7. Article
  8. Article
  9. Aging, Osteo-Sarcopenia, and Musculoskeletal Mechano-Transduction.Frontiers in rehabilitation sciences · 2021
    Article
  10. Article
  11. Article
  12. 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

6 authors.

Mina KabiriPrecision Health Economics, Austin, TX, USA. Electronic address: mina.kabiri@precisionhealtheconomics.com.
Michelle BrauerPrecision Health Economics, Boston, MA, USA.
Jason ShafrinPrecision Health Economics, Los Angeles, CA, USA.
Jeff SullivanPrecision Health Economics, Boston, MA, USA.
Thomas M GillYale School of Medicine, New Haven, CT, USA.
Dana P GoldmanSchaeffer Center for Health Policy and Economics, University of Southern California, Los Angeles, CA, USA.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
ACADEMIC LEADERSHIP AWARD IN DISABILITY AND DISABLING DISORDERSK07AG043587 · NIA · YALE UNIVERSITY · PI GILL, THOMAS MICHAEL · 2013 to 2017
$645k
NIA NIH HHS K07 AG043587NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

backgroundMobility impairments have substantial physical and mental health consequences, resulting in diminished quality of life. Most studies on the health economic consequences of mobility limitations focus on short-term implications.

objectivesTo examine the long-term value of improving mobility in older adults.

methodsOur six-step approach used clinical trial data to calibrate mobility improvements and estimate health economic outcomes using a microsimulation model. First, we measured improvement in steps per day calibrated with clinical trial data examining hylan G-F 20 viscosupplementation treatment. Second, we created a cohort of patients 51 years and older with osteoarthritis. In the third step, we estimated their baseline quality of life. Fourth, we translated steps-per-day improvements to changes in quality of life using estimates from the literature. Fifth, we calibrated quality of life in this cohort to match those in the trial. Last, we incorporated these data and parameters into The Health Economic Medical Innovation Simulation model to estimate how mobility improvements affect functional status limitations, medical expenditures, nursing home utilization, employment, and earnings between 2012 and 2030.

resultsIn our sample of 12.6 million patients, 66.7% were female and 70% had a body mass index of more than 25 kg/m

conclusionsInterventions that improve mobility are likely to reduce long-run medical expenditures and nursing home utilization and increase employment.

Indexed as

AgingHealth Care CostsHealth StatusMobility LimitationAbsenteeismActivities of Daily LivingAgedAged, 80 and overAge FactorsComputer SimulationCost-Benefit AnalysisCost SavingsFemaleGeriatric AssessmentHealth ExpendituresHumanshealth economic outcomesmobilityosteoarthritisquality of life

Identifiers

PMID30005751
PMCPMC6078098

What OpenQuestion holds

Textmetadata
LicenceTDM
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.