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Patient-reported outcome measures for monitoring primary care patients with depression: the PROMDEP cluster RCT and economic evaluation.
Kendrick, Tony; Dowrick, Christopher; Lewis, Glyn; Moore, Michael; Leydon, Geraldine M; Geraghty, Adam Wa; Griffiths, Gareth; Zhu, Shihua; Yao, Guiqing Lily; May, Carl; Gabbay, Mark; Dewar-Haggart, Rachel; Williams, Samantha; Bui, Lien; Thompson, Natalie; Bridewell, Lauren; Trapasso, Emilia; Patel, Tasneem; McCarthy, Molly; Khan, Naila; Page, Helen; Corcoran, Emma; Hahn, Jane Sungmin; Bird, Molly; Logan, Mekeda X; Ching, Brian Chi Fung; Tiwari, Riya; Hunt, Anna; Stuart, Beth.
Affiliation
  • Kendrick T; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Dowrick C; Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.
  • Lewis G; Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.
  • Moore M; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Leydon GM; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Geraghty AW; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Griffiths G; Southampton Clinical Trials Unit, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
  • Zhu S; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Yao GL; Leicester Clinical Trials Unit, University of Leicester, Leicester, UK.
  • May C; Faculty of Public Health and Policy, London School of Hygiene and Tropical Medicine, London, UK.
  • Gabbay M; Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.
  • Dewar-Haggart R; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Williams S; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Bui L; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Thompson N; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Bridewell L; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Trapasso E; Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.
  • Patel T; Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.
  • McCarthy M; Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.
  • Khan N; Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.
  • Page H; Department of Primary Care and Mental Health, Institute of Population Health, University of Liverpool, Liverpool, UK.
  • Corcoran E; Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.
  • Hahn JS; Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.
  • Bird M; Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.
  • Logan MX; Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.
  • Ching BCF; Division of Psychiatry, Faculty of Brain Sciences, University College London, London, UK.
  • Tiwari R; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Hunt A; School of Primary Care, Population Health and Medical Education, University of Southampton, Southampton, UK.
  • Stuart B; Centre for Evaluation and Methods, Wolfson Institute of Population Health, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.
Health Technol Assess ; 28(17): 1-95, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38551155
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 Health Technology Assessment; Vol. 28, No. 17. See the NIHR Funding and Awards website for further award information.
Depression is common, can be disabling and costs the nation billions. The National Health Service recommends general practitioners who treat people with depression use symptom questionnaires to help assess whether those people are getting better over time. A symptom questionnaire is one type of patient-reported outcome measure. Patient-reported outcome measures appear to benefit people having therapy and mental health care, but this approach has not been tested thoroughly in general practice. Most people with depression are treated in general practice, so it is important to test patient-reported outcome measures there, too. In this study, we tested whether using a patient-reported outcome measure helps people with depression get better more quickly. The study was a 'randomised controlled trial' in general practices, split into two groups. In one group, people with depression completed the Patient Health Questionnaire, or 'PHQ-9', patient-reported outcome measure, which measures nine symptoms of depression. In the other group, people with depression were treated as usual without the Patient Health Questionnaire-9. We fed the results of the Patient Health Questionnaire-9 back to the people with depression themselves to show them how severe their depression was and asked them to discuss the results with the practitioners looking after them. We found no differences between the patient-reported outcome measure group and the control group in their level of depression; their work or social life; their satisfaction with care from their practice; or their use of medicines, therapy or specialist care for depression. However, we did find that their quality of life was improved at 6 months, and the costs of the National Health Service services they used were lower. Using the Patient Health Questionnaire-9 can improve patients' quality of life, perhaps by making them more aware of improvement in their depression symptoms, and less anxious as a result. Future research should test using a patient-reported outcome measure that includes anxiety and processing the answers through a computer to give practitioners clearer advice on possible changes to treatment for depression.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality of Life / Depression Limits: Adult / Humans Language: En Journal: Health Technol Assess Journal subject: PESQUISA EM SERVICOS DE SAUDE / TECNOLOGIA MEDICA Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality of Life / Depression Limits: Adult / Humans Language: En Journal: Health Technol Assess Journal subject: PESQUISA EM SERVICOS DE SAUDE / TECNOLOGIA MEDICA Year: 2024 Document type: Article Affiliation country:
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