Evidence map›Paper›PMID 34083743›Full record

ArticleNPJ digital medicine2021

A randomized trial examining the effect of predictive analytics and tailored interventions on the cost of care.

Mariana Nikolova-Simons, Sara Bersche Golas, Jorn Op den Buijs, Ramya S Palacholla, Gary Garberg, Allison Orenstein, Joseph Kvedar

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Clinical Data for Parametrization ofFrontiers in bioengineering and biotechnology · 2022
    Pooled it
  2. Observational
  3. Article
  4. 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

7 authors at 7 institutions in 3 countries.

Mariana Nikolova-SimonsPhilips Research, Eindhoven, The Netherlands. mariana.simons@philips.com.ORCID http://orcid.org/0000-0002-5772-059X
Sara Bersche GolasPartners Connected Health Innovation, Partners HealthCare, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6155-9452
Jorn Op den BuijsPhilips Research, Eindhoven, The Netherlands.
Ramya S PalachollaPartners Connected Health Innovation, Partners HealthCare, Boston, MA, USA.
Gary GarbergPartners HealthCare at Home, Waltham, MA, USA.
Allison OrensteinPhilips Population Health Management, Framingham, MA, USA.
Joseph KvedarPartners Connected Health Innovation, Partners HealthCare, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7517-2291
Harvard University · USMassachusetts General Hospital · USMass General Brigham · USNXP (Netherlands) · NLPhilips (Netherlands) · NLPhilips (United States) · USTufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This two-arm randomized controlled trial evaluated the impact of a Stepped-Care intervention (predictive analytics combined with tailored interventions) on the healthcare costs of older adults using a Personal Emergency Response System (PERS). A total of 370 patients aged 65 and over with healthcare costs in the middle segment of the cost pyramid for the fiscal year prior to their enrollment were enrolled for the study. During a 180-day intervention period, control group (CG) received standard care, while intervention group (IG) received the Stepped-Care intervention. The IG had 31% lower annualized inpatient cost per patient compared with the CG (3.7 K, $8.1 K vs. $11.8 K, p = 0.02). Both groups had similar annualized outpatient costs per patient ($6.1 K vs. $5.8 K, p = 0.10). The annualized total cost reduction per patient in the IG vs. CG was 20% (3.5 K, $17.7 K vs. $14.2 K, p = 0.04). Predictive analytics coupled with tailored interventions has great potential to reduce healthcare costs in older adults, thereby supporting population health management in home or community settings.

Identifiers

PMID34083743
PMCPMC8175712
OpenAlexW3164529691

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.