Evidence map›Paper›PMID 35727625›Full record

ArticleJMIR mHealth and uHealth2022

Assessment of Smartphone Apps for Common Neurologic Conditions (Headache, Insomnia, and Pain): Cross-sectional Study.

Mia T Minen, Alexis George, Erica Camacho, Leslie Yao, Ananya Sahu, Maya Campbell, Mia Soviero, Quazi Hossain, Deepti Verma, John Torous

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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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

10 authors at 4 institutions in 1 country.

Mia T MinenDepartment of Neurology, New York University Langone Health, New York, NY, United States.ORCID 0000-0002-4991-3703
Alexis GeorgeDepartment of Neurology, New York University Langone Health, New York, NY, United States.ORCID 0000-0002-4252-6858
Erica CamachoDepartment of Psychiatry, Beth Israel Deaconess Medical Center, New York, NY, United States.ORCID 0000-0002-5466-8853
Leslie YaoBarnard College, New York, NY, United States.ORCID 0000-0002-6891-8411
Ananya SahuBarnard College, New York, NY, United States.ORCID 0000-0003-3566-8222
Maya CampbellBarnard College, New York, NY, United States.ORCID 0000-0003-3760-8741
Mia SovieroBarnard College, New York, NY, United States.ORCID 0000-0002-7050-8251
Quazi HossainThe City College of New York, New York, NY, United States.ORCID 0000-0003-4375-0154
Deepti VermaThe City College of New York, New York, NY, United States.ORCID 0000-0002-2818-1355
John TorousDepartment of Psychiatry, Beth Israel Deaconess Medical Center, New York, NY, United States.ORCID 0000-0002-5362-7937
Barnard College · USCity College of New York · USMount Sinai Beth Israel · USNYU Langone Health · US

Funding

Progressive Muscle Relaxation for Chronic Pain in an Acute Care SettingK23AT009706 · NCCIH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MINEN, MIA · 2018 to 2022
$923k
NCCIH NIH HHS K23 AT009706
6 · The paper itself

Abstract

backgroundThere are thousands of apps for individuals struggling with headache, insomnia, and pain, but it is difficult to establish which of these apps are best suited for patients' specific needs. If clinicians were to have access to a platform that would allow them to make an informed decision on the efficacy and feasibility of smartphone apps for patient care, they would feel confident in prescribing specific apps.

objectiveWe sought to evaluate the quality of apps for some of the top common, disabling neurologic conditions (headache, insomnia, and pain) based on principles derived from the American Psychiatric Association's (APA) app evaluation model.

methodsWe used the Mobile Health Index and Navigation database and expanded upon the database's current supported conditions by adding 177 new app entries. Each app was rated for consistency with the APA's app evaluation model, which includes 105 objective questions based on the following 5 major classes of consideration: (1) accessibility, (2) privacy and security, (3) clinical foundation, (4) engagement style, and (5) interoperability. These characteristics were evaluated to gain a broader understanding of the significant features of each app category in comparison against a control group.

resultsApproximately 90% (187/201) of all apps evaluated were free to download, but only 50% (63/201) of headache- and pain-related apps were truly free. Most (87/106, 81%) sleep apps were not truly free to use. The apps had similar limitations with limited privacy, accessibility, and crisis management resources. For example, only 17% (35/201) of the apps were available in Spanish. The apps offered mostly self-help tools with little tailoring; symptom tracking was the most common feature in headache- (32/48, 67%) and pain-related apps (21/47, 45%), whereas mindfulness was the most common feature in sleep-related apps (73/106, 69%).

conclusionsAlthough there are many apps for headache, pain, and insomnia, all 3 types of apps have room for improvement around accessibility and privacy. Pain and headache apps share many common features, whereas insomnia apps offer mostly mindfulness-based resources. Given the many available apps to pick from, clinicians and patients should seek apps that offer the highest-quality features, such as complete privacy, remedial features, and the ability to download the app at no cost. These results suggest that there are many opportunities for the improvement of apps centered on headache, insomnia, and pain.

Indexed as

Mobile ApplicationsSleep Initiation and Maintenance DisordersTelemedicineCross-Sectional StudiesHeadacheHumansheadacheinsomniamobile healthmobile phonepainsmartphone apps

Identifiers

PMID35727625
PMCPMC9257611
OpenAlexW4281559910

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.