Evidence map›Paper›PMID 38551155›Full record

Trial reportHealth technology assessment (Winchester, England)2024

Patient-reported outcome measures for monitoring primary care patients with depression: the PROMDEP cluster RCT and economic evaluation.

Tony Kendrick, Christopher Dowrick, Glyn Lewis, Michael Moore, Geraldine M Leydon, Adam Wa Geraghty, Gareth Griffiths, Shihua Zhu, Guiqing Lily Yao, Carl May and 19 more

Abstract readRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in Health technology assessment (Winchester, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Author response.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    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

29 authors.

Tony KendrickSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0003-1618-9381
Christopher DowrickDepartment of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.ORCID 0000-0002-4245-2203
Glyn LewisDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.ORCID 0000-0001-5205-8245
Michael MooreSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0002-5127-4509
Geraldine M LeydonSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0001-5986-3300
Adam Wa GeraghtySchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0001-7984-8351
Gareth GriffithsSouthampton Clinical Trials Unit, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.ORCID 0000-0002-9579-8021
Shihua ZhuSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0002-1430-713X
Guiqing Lily YaoLeicester Clinical Trials Unit, University of Leicester, Leicester, UK.ORCID 0000-0002-0591-9636
Carl MayFaculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0002-0451-2690
Mark GabbayDepartment of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.ORCID 0000-0002-0126-8485
Rachel Dewar-HaggartSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0002-3757-1152
Samantha WilliamsSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0001-9505-6485
Lien BuiSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0003-3434-4066
Natalie ThompsonSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0002-1880-6438
Lauren BridewellSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0001-9569-7813
Emilia TrapassoDepartment of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.ORCID 0000-0002-7539-7204
Tasneem PatelDepartment of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.ORCID 0000-0003-4496-7603
Molly McCarthyDepartment of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.ORCID 0000-0002-2504-6799
Naila KhanDepartment of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.ORCID 0000-0003-3400-7190
Helen PageDepartment of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.ORCID 0000-0002-5781-9282
Emma CorcoranDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.ORCID 0000-0001-5811-4615
Jane Sungmin HahnDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.ORCID 0000-0002-4584-9441
Molly BirdDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.ORCID 0000-0003-1676-1907
Mekeda X LoganDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.ORCID 0000-0001-7899-7531
Brian Chi Fung ChingDivision of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.ORCID 0000-0002-2179-9793
Riya TiwariSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0002-3002-3276
Anna HuntSchool of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.ORCID 0000-0002-0864-4113
Beth StuartCentre for Evaluation and Methods, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0001-5432-7437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Guidelines on the management of depression recommend that practitioners use patient-reported outcome measures for the follow-up monitoring of symptoms, but there is a lack of evidence of benefit in terms of patient outcomes. Objective: To test using the Patient Health Questionnaire-9 questionnaire as a patient-reported outcome measure for monitoring depression, training practitioners in interpreting scores and giving patients feedback. Design: Parallel-group, cluster-randomised superiority trial; 1 : 1 allocation to intervention and control. Setting: UK primary care (141 group general practices in England and Wales). Inclusion criteria: Patients aged ≥ 18 years with a new episode of depressive disorder or symptoms, recruited mainly through medical record searches, plus opportunistically in consultations. Exclusions: Current depression treatment, dementia, psychosis, substance misuse and risk of suicide. Intervention: Administration of the Patient Health Questionnaire-9 questionnaire with patient feedback soon after diagnosis, and at follow-up 10-35 days later, compared with usual care. Primary outcome: Beck Depression Inventory, 2nd edition, symptom scores at 12 weeks. Secondary outcomes: Beck Depression Inventory, 2nd edition, scores at 26 weeks; antidepressant drug treatment and mental health service contacts; social functioning (Work and Social Adjustment Scale) and quality of life (EuroQol 5-Dimension, five-level) at 12 and 26 weeks; service use over 26 weeks to calculate NHS costs; patient satisfaction at 26 weeks (Medical Informant Satisfaction Scale); and adverse events. Sample size: The original target sample of 676 patients recruited was reduced to 554 due to finding a significant correlation between baseline and follow-up values for the primary outcome measure. Randomisation: Remote computerised randomisation with minimisation by recruiting university, small/large practice and urban/rural location. Blinding: Blinding of participants was impossible given the open cluster design, but self-report outcome measures prevented observer bias. Analysis was blind to allocation. Analysis: Linear mixed models were used, adjusted for baseline depression, baseline anxiety, sociodemographic factors, and clustering including practice as random effect. Quality of life and costs were analysed over 26 weeks. Qualitative interviews: Practitioner and patient interviews were conducted to reflect on trial processes and use of the Patient Health Questionnaire-9 using the Normalization Process Theory framework. Results: Three hundred and two patients were recruited in intervention arm practices and 227 patients were recruited in control practices. Primary outcome data were collected for 252 (83.4%) and 195 (85.9%), respectively. No significant difference in Beck Depression Inventory, 2nd edition, score was found at 12 weeks (adjusted mean difference -0.46, 95% confidence interval -2.16 to 1.26). Nor were significant differences found in Beck Depression Inventory, 2nd Edition, score at 26 weeks, social functioning, patient satisfaction or adverse events. EuroQol-5 Dimensions, five-level version, quality-of-life scores favoured the intervention arm at 26 weeks (adjusted mean difference 0.053, 95% confidence interval 0.013 to 0.093). However, quality-adjusted life-years over 26 weeks were not significantly greater (difference 0.0013, 95% confidence interval -0.0157 to 0.0182). Costs were lower in the intervention arm but, again, not significantly (-£163, 95% confidence interval -£349 to £28). Cost-effectiveness and cost-utility analyses, therefore, suggested that the intervention was dominant over usual care, but with considerable uncertainty around the point estimates. Patients valued using the Patient Health Questionnaire-9 to compare scores at baseline and follow-up, whereas practitioner views were more mixed, with some considering it too time-consuming. Conclusions: We found no evidence of improved depression management or outcome at 12 weeks from using the Patient Health Questionnaire-9, but patients' quality of life was better at 26 weeks, perhaps because feedback of Patient Health Questionnaire-9 scores increased their awareness of improvement in their depression and reduced their anxiety. Further research in primary care should evaluate patient-reported outcome measures including anxiety symptoms, administered remotely, with algorithms delivering clear recommendations for changes in treatment. Study registration: This study is registered as IRAS250225 and ISRCTN17299295. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/42/02) and is published in full in

Indexed as

DepressionQuality of LifeAdultCost-Benefit AnalysisHumansPatient Reported Outcome MeasuresPrimary Health CareYoung AdultCOST–BENEFIT ANALYSISDEPRESSIONMENTAL HEALTHMOOD DISORDERSPATIENT-REPORTED OUTCOME MEASURESPRIMARY HEALTH CARE

Identifiers

PMID38551155
PMCPMC11017630

What OpenQuestion holds

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Registered trials

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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.