Evidence map›Paper›PMID 26224088›Full record

ArticleBMC medical research methodology2015

Validity of single item responses to short message service texts to monitor depression: an mHealth sub-study of the UK ACUDep trial.

Ada Keding, Jan R Böhnke, Tim J Croudace, Stewart J Richmond, Hugh MacPherson

Abstract readValidation Study
In one paragraph

Article in BMC medical research methodology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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. Trial
  2. Trial
  3. Article
  4. Review
  5. Evaluating How Mental Health Changed in Australia through the COVID-19 Pandemic: Findings from the 'International journal of environmental research and public health · 2022
    Article
  6. Review
  7. Serial measurement of mood via text messaging in young people.Child and adolescent psychiatry and mental health · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. The meaning of vaguely quantified frequency response options on a quality of life scale depends on respondents' medical status and age.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016
    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

5 authors.

Ada KedingDepartment of Health Sciences, University of York, Heslington, York, YO10 5DD, UK. ada.keding@york.ac.uk.
Jan R BöhnkeDepartment of Health Sciences, University of York, Heslington, York, YO10 5DD, UK. jan.boehnke@york.ac.uk.
Tim J CroudaceSchool of Nursing and Midwifery and Social Dimensions of Health Institute, University of Dundee, Dundee, UK. t.j.croudace@dundee.ac.uk.
Stewart J RichmondSydera Research Associates, Market Weighton, York, UK. syderaresearch@gmail.com.
Hugh MacPhersonDepartment of Health Sciences, University of York, Heslington, York, YO10 5DD, UK. hugh.macpherson@york.ac.uk.

Funding

Medical Research Council MC_PC_13042Medical Research Council MR/K006665/1
6 · The paper itself

Abstract

backgroundAn increasing number of research designs are using text messaging (SMS) as a means of self-reported symptom and outcome monitoring in a variety of long-term health conditions, including severity ratings of depressed mood. The validity of such a single item SMS score to measure latent depression is not currently known and is vital if SMS data are to inform clinical evaluation in the future.

methodsA sub-set of depressed participants in the UK ACUDep trial submitted a single SMS text score (R-SMS-DS) between 1 and 9 on how depressed they felt around the same time as completing the PHQ-9 depression questionnaire on paper at 3 months follow-up of the trial. Exploratory categorical data factor analysis (EFA) was used to ascertain the alignment of R-SMS-DS scores with the factor structure of the PHQ-9. Any response bias with regard to age or gender was assessed by differential item functioning (DIF) analysis.

resultsDepression scores based on the PHQ-9 and R-SMS-DS at 3 months were available for 337 participants (74 % female; mean age: 42 years, SD = 11.1), 213 of which completed the two outcomes within 6 days of each other. R-SMS-DS scores aligned with the underlying latent depression of the PHQ-9 (factor loading of 0.656) and in particular its affective rather than somatic dimension. The R-SMS-DS score was most strongly correlated with depressed mood (r = 0.607), feeling bad about oneself (r = 0.588) and anhedonia (r = 0.573). R-SMS-DS responses were invariant with respect to gender (p = 0.302). However, there was some evidence for age related response bias (p = 0.031), with older participants being more likely to endorse lower R-SMS-DS scores than younger ones.

conclusionsThe R-SMS-DS used in the ACUDep trial was found to be a valid measure of latent affective depression with no gender related response bias. This text message item may therefore represent a useful assessment and monitoring tool meriting evaluation in further research. For future study designs we recommend the collection of outcome data by new health technologies in combination with gold standard instruments to ensure concurrent validity.

Indexed as

Surveys and QuestionnairesAdultDepressionDepressive DisorderFemaleFollow-Up StudiesHumansMaleMiddle AgedOutcome Assessment, Health CareRandomized Controlled Trials as TopicReproducibility of ResultsTelemedicineText MessagingTime FactorsUnited Kingdom

Identifiers

PMID26224088
PMCPMC4520207

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.