Evidence map›Paper›PMID 26644636›Full record

ArticleEuropean journal of operational research2016

Modelling Adherence Behaviour for the Treatment of Obstructive Sleep Apnoea.

Yuncheol Kang, Amy M Sawyer, Paul M Griffin, Vittaldas V Prabhu

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of operational research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. The value of mHealth for managing chronic conditions.Health care management science · 2020
    Article
  4. Barriers to CPAP Use in India: An Exploratory Study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017
    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

4 authors at 2 institutions in 1 country.

Yuncheol KangDepartment of Industrial and Manufacturing Engineering, Pennsylvania State University, yckang@psu.edu , phone: 1-814-865-9861, address: 236 Leonhard Building, University Park, PA 16802, USA.
Amy M SawyerCollege of Nursing, Pennsylvania State University, ams24@psu.edu , phone: 1-814-863-1020, address: 201 Health & Human Development East, University Park, PA 16802, USA.
Paul M GriffinSchool of Industrial and Systems Engineering, Georgia Tech, pgriffin@gatech.edu , phone: 1-404.894.2300, address: 755 Ferst Drive, NW, Atlanta, GA 30332.
Vittaldas V PrabhuDepartment of Industrial and Manufacturing Engineering, Pennsylvania State University, prabhu@engr.psu.edu , phone: 1-814-863-3212, address: 310 Leonhard Building, University Park, PA 16802, USA.
Pennsylvania State University · USGeorgia Institute of Technology · US

Funding

Risk Assessment and Tailored Intervention to Improve CPAP AdherenceR00NR011173 · NINR · PENNSYLVANIA STATE UNIVERSITY, THE · PI SAWYER, AMY M · 2011 to 2013
$727k
Risk Assessment and Tailored Intervention to Improve CPAP AdherenceK99NR011173 · NINR · UNIVERSITY OF PENNSYLVANIA · PI SAWYER, AMY M · 2009 to 2010
$180k
NINR NIH HHS K99 NR011173NINR NIH HHS R00 NR011173
6 · The paper itself

Abstract

Continuous positive airway pressure therapy (CPAP) is known to be the most efficacious treatment for obstructive sleep apnoea (OSA). Unfortunately, poor adherence behaviour in using CPAP reduces its effectiveness and thereby also limits beneficial outcomes. In this paper, we model the dynamics and patterns of patient adherence behaviour as a basis for designing effective and economical interventions. Specifically, we define patient CPAP usage behaviour as a state and develop Markov models for diverse patient cohorts in order to examine the stochastic dynamics of CPAP usage behaviours. We also examine the impact of behavioural intervention scenarios using a Markov decision process (MDP), and suggest a guideline for designing interventions to improve CPAP adherence behaviour. Behavioural intervention policy that addresses economic aspects of treatment is imperative for translation to clinical practice, particularly in resource-constrained environments that are clinically engaged in the chronic care of OSA.

Indexed as

Behavioural ORcost-effective interventionsMarkov modelsobstructive sleep apnoeatreatment adherence behaviour

Identifiers

PMID26644636
PMCPMC4669975
OpenAlexW1474834945

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.