Evidence map›Paper›PMID 38386368›Full record

ArticleJMIR human factors2024

Digital Care Pathway for Patients With Sleep Apnea in Specialized Care: Mixed Methods Study.

Jari Haverinen, Terttu Harju, Hanna Mikkonen, Pia Liljamo, Miia Turpeinen, Jarmo Reponen

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2024. 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
1.7field-weighted citation impact, top 17% 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, 2 citations in OpenAlex.

  1. Article
  2. Article
  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

6 authors at 3 institutions in 1 country.

Jari HaverinenFinnish Coordinating Center for Health Technology Assessment, Oulu University Hospital, Oulu, Finland.ORCID 0000-0002-1850-1140
Terttu HarjuMedical Research Center Oulu, Oulu Pulmonary Department, Oulu University Hospital and University of Oulu, Oulu, Finland.ORCID 0000-0003-4564-315X
Hanna MikkonenThe Wellbeing Services County of North Ostrobothnia, Oulu, Finland.ORCID 0009-0004-5608-7851
Pia LiljamoFinnish Institute for Health and Welfare, Department of Knowledge Brokers, Data and Analytics Unit, Helsinki, Finland.ORCID 0000-0002-5271-1483
Miia TurpeinenMedical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland.ORCID 0000-0002-1420-4632
Jarmo ReponenFinnTelemedicum, Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland.ORCID 0000-0003-2306-3111
Oulu University Hospital · FIFinnish Institute for Health and Welfare · FINorthern Ostrobothnia Hospital District · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep apnea is a significant public health disorder in Finland, with a prevalence of 3.7%. Continuous positive airway pressure (CPAP) therapy is the first-line treatment for moderate or severe sleep apnea. From November 18, 2019, all patients who started their CPAP therapy at Oulu University Hospital were attached to a sleep apnea digital care pathway (SA-DCP) and were instructed on its use. Some patients still did not use the SA-DCP although they had started their CPAP therapy.

objectiveWe aimed to study health care professionals' (HCPs') perspectives on the SA-DCP and its usefulness for their work; whether the main targets of SA-DCP can be reached: shortening the initial guiding sessions of CPAP therapy, reducing patient calls and contact with HCPs, and improving patients' adherence to CPAP therapy; and patients' perspectives on the SA-DCP and its usefulness to them.

methodsOverall, 6 HCPs were interviewed in May and June 2021. The survey for SA-DCP users (58/91, 64%) and SA-DCP nonusers (33/91, 36%) was conducted in 2 phases: from May to August 2021 and January to June 2022. CPAP device remote monitoring data were collected from SA-DCP users (80/170, 47.1%) and SA-DCP nonusers (90/170, 52.9%) in May 2021. The registered phone call data were collected during 2019, 2020, and 2021. Feedback on the SA-DCP was collected from 446 patients between February and March 2022.

resultsAccording to HCPs, introducing the SA-DCP had not yet significantly improved their workload and work practices, but it had brought more flexibility in some communication situations. A larger proportion of SA-DCP users familiarized themselves with prior information about CPAP therapy before the initial guiding session than nonusers (43/58, 74% vs 16/33, 49%; P=.02). Some patients still had not received prior information about CPAP therapy; therefore, most of the sessions were carried out according to their needs. According to the patient survey and remote monitoring data of CPAP devices, adherence to CPAP therapy was high for both SA-DCP users and nonusers. The number of patients' phone calls to HCPs did not decrease during the study. SA-DCP users perceived their abilities to use information and communications technology to be better than nonusers (mean 4.2, SD 0.8 vs mean 3.2, SD 1.2; P<.001).

conclusionsAccording to this study, not all the goals set for the introduction of the SA-DCP have been achieved. Despite using the SA-DCP, some patients still wanted to communicate with HCPs by phone. The most significant factors explaining the nonuse of the SA-DCP were lower digital literacy and older age of the patients. In the future, more attention should be paid to these user groups when designing and introducing upcoming digital care pathways.

Indexed as

Critical PathwaysSleep Apnea SyndromesCommunicationContinuous Positive Airway PressureFinlandHumanshealth personnelhealth servicesmobile phonesleep apnea syndromestelehealthtelemedicine

Identifiers

PMID38386368
PMCPMC10921334
OpenAlexW4391067988

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.