Evidence map›Paper›PMID 31148542›Full record

Observational studyJournal of medical Internet research2019

Self-Management Maintenance Inhalation Therapy With eHealth (SELFIE): Observational Study on the Use of an Electronic Monitoring Device in Respiratory Patient Care and Research.

Esther Kuipers, Charlotte C Poot, Michel Wensing, Niels H Chavannes, Peter Agm de Smet, Martina Teichert

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Assessing adherence to inhaled therapies in asthma and the emergence of electronic monitoring devices.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  10. Article
  11. 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 2 institutions in 2 countries.

Esther KuipersDepartment of IQ Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands.ORCID 0000-0002-0316-1278
Charlotte C PootDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands.ORCID 0000-0001-6717-4855
Michel WensingDepartment of IQ Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands.ORCID 0000-0001-6569-8137
Niels H ChavannesDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, Netherlands.ORCID 0000-0002-8607-9199
Peter Agm de SmetDepartment of IQ Healthcare, Radboud Institute for Health Sciences, Radboud University Medical Centre, Nijmegen, Netherlands.ORCID 0000-0003-1762-6547
Martina TeichertDepartment of Clinical Pharmacy & Toxicology, Leiden University Medical Centre, Leiden, Netherlands.ORCID 0000-0001-8411-3325
Leiden University · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic inhalation monitoring devices (EIMDs) are available to remind patients with respiratory diseases to take their medication and register inhalations for feedback to patients and health care providers as well as for data collection in research settings.

objectiveThis study aimed to assess the validity as well as the patient-reported usability and acceptability of an EIMD.

methodsThis observational study planned to include 21 community pharmacies in the Netherlands. Patient-reported inhalations were collected and compared to EIMD registrations to evaluate the positive predictive value of these registrations as actual patient inhalations. Patients received questionnaires on their experiences and acceptance.

resultsA convenience sample of 32 patients was included from across 18 pharmacies, and 932 medication doses were validated. Of these, 796 registrations matched with patient-reported use (true-positive, 85.4%), and 33 inhalation registrations did not match with patient-reported use (false-positive, 3.5%). The positive predictive value was 96.0%, and 103 patient-reported inhalations were not recorded in the database (false-negative, 11.1%). Overall, patients considered the EIMD to be acceptable and easy to use, but many hesitated to continue its use. Reminders and motivational messages were not appreciated by all users, and more user-tailored features in the app were desired.

conclusionsPatients' interaction with the device in real-world settings is critical for objective measurement of medication adherence. The positive predictive value of this EIMD was found to be acceptable. However, patients reported false-negative registrations and a desire to include more user-tailored features to increase the usability and acceptability of the EIMD.

Indexed as

AdultAgedElectrical Equipment and SuppliesFemaleHumansMaleMiddle AgedProspective StudiesResearch DesignRespiratory TherapySelf-ManagementTelemedicineYoung AdultasthmaCOPDeHealthinhalation therapypharmacypharmacy practice research

Identifiers

PMID31148542
PMCPMC6658221
OpenAlexW2947907366

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.