ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2010
Identification of depression in diabetes: the efficacy of PHQ-9 and HADS-D.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05348499 (Mixed Methods Study Exploring the Impact of Hybrid Closed-loop Systems on Patient Reported Outcomes in People With Type I Diabetes and Their Partners), which is not on this map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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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.
Mixed Methods Study Exploring the Impact of Hybrid Closed-loop Systems on Patient Reported Outcomes in People With Type I Diabetes and Their Partners
Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.
- Measurement properties of depression questionnaires in patients with diabetes: a systematic review.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018Pooled it
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- Screening for depression and anxiety in lung cancer patients: A real-world study using GAD-7 and HADS.Thoracic cancer · 2024Article
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- PHQ-9, CES-D, health insurance data-who is identified with depression? A Population-based study in persons with diabetes.Diabetology & metabolic syndrome · 2023Article
- Association Between Depression, Diabetes Self-Care Activity and Glycemic Control in an Arab Population with Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023Article
- The Effectiveness of Supportive Psychotherapy on the Anxiety and Depression Experienced by Patients Receiving Fiberoptic Bronchoscope.Frontiers in psychology · 2022Article
- Determining Acceptance of e-Mental Health Interventions in Digital Psychodiabetology Using a Quantitative Web-Based Survey: Cross-sectional Study.JMIR formative research · 2021Article
- High Prevalence of Depressive Symptoms in Patients With Type 1 and Type 2 Diabetes in Developing Countries: Results From the International Diabetes Management Practices Study.Diabetes care · 2021Article
- Development of a brief psychological intervention for perinatal depression (BIND-P).Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists · 2021Review
- A Consideration of the Psychological Aspects to Managing Patients with Painful Diabetic Neuropathy: An Insight into Pain Management Services at a Tertiary Centre in the UK.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021Review
- Quality of life and depression among diabetic patients attending the lifestyle clinic of a teaching hospital, West Bengal.Journal of family medicine and primary care · 2021Article
- Prevalence Estimates, Severity, and Risk Factors of Depressive Symptoms among Coronary Artery Disease Patients after Ten Days of Percutaneous Coronary Intervention.Clinical practice and epidemiology in mental health : CP & EMH · 2021Article
- Persistent Anxiety Is Associated with Higher Glycemia Post-Transition to Adult Services in Asian Young Adults with Diabetes.Diabetes & metabolism journal · 2021Article
- Examining Individual Differences in Wellbeing, Anxiety and Depression in Psoriasis Using a Clinically Modified Buddhist Psychological Model.Journal of clinical psychology in medical settings · 2020Article
- Detection and prevalence of depression among adult type 2 diabetes mellitus patients attending non-communicable diseases clinics in Lilongwe, Malawi.International journal of mental health systems · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical guidelines advise screening for depression in patients with diabetes. The Patient Health Questionnaire (PHQ-9) and the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) are commonly used in primary care.
aimTo compare the efficacy of HADS-D and PHQ-9 in identifying moderate to severe depression among primary care patients with type 2 diabetes. DESIGN OF STUDY: Self-report postal survey, clinical records assessed by GPs.
settingSeven metropolitan and rural general practices in Victoria, Australia.
methodPostal questionnaires were sent to all patients with diabetes on the registers of seven practices in Victoria. A total of 561 completed postal questionnaires were returned, giving a response rate 47%. Surveys included demographic information, and history of diabetes and depression. Participants completed both the PHQ-9 and HADS-D. Clinical data from patient records included glycosylated hemoglobin (HbA1c) levels and medications.
resultsThe proportion of the total sample completing HADS-D was 96.8% compared with 82.4% for PHQ-9. Level of education was unrelated to responses on the HADS-D but was related to completion of the PHQ-9. Using complete data (n = 456) from both measures, 40 responders showed HADS-D scores in the moderate to severe range, compared with 103 cases identified by PHQ-9. Only 35 cases were classified in the moderate to severe category by both the PHQ-9 and HADS-D. Items with the highest proportions of positive responses on the PHQ-9 were related to tiredness and sleeping problems and, on the HADS-D, feeling slowed down.
conclusionIt may be that the items contributing to the higher prevalence of moderate to severe depression using the PHQ-9 are due to diabetes-related symptoms or sleep disorders.
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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.