Evidence map›Paper›PMID 31775685›Full record

ArticleBMC psychiatry2019

The (cost) effectiveness of guided internet-based self-help CBT for dialysis patients with symptoms of depression: study protocol of a randomised controlled trial.

Els Nadort, Robbert W Schouten, Friedo W Dekker, Adriaan Honig, Patricia van Oppen, Carl E H Siegert

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. 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

6 authors at 3 institutions in 1 country.

Els NadortDepartment of Nephrology, OLVG hospital, Jan Tooropstraat 164, 1061 AE, Amsterdam, Netherlands. e.nadort@olvg.nl.ORCID 0000-0001-9378-7938
Robbert W SchoutenDepartment of Nephrology, OLVG hospital, Jan Tooropstraat 164, 1061 AE, Amsterdam, Netherlands.
Friedo W DekkerDepartment of Clinical Epidemiology, Leiden University Medical Centre, Albinusdreef 2, 2333 ZA, Leiden, Netherlands.
Adriaan HonigDepartment of Psychiatry, OLVG, Jan Tooropstraat 164, 1061 AE, Amsterdam, Netherlands.
Patricia van OppenDepartment of Amsterdam Public Health research institute, VUmc, Van der Boechorststraat 7, 1081 BT, Amsterdam, Netherlands.
Carl E H SiegertDepartment of Nephrology, OLVG hospital, Jan Tooropstraat 164, 1061 AE, Amsterdam, Netherlands.
OLVG · NLGGZ inGeest · NLLeiden University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnly a minority of dialysis patients with depressive symptoms are diagnosed and receive treatment. Depressive symptoms are highly prevalent in this population and are associated with adverse clinical outcomes. Underlying factors for this undertreatment may be the lack of evidence for the safety and effectivity of antidepressant medication, the reluctance of patients to adhere to antidepressant medication, the lack of mental healthcare provision in somatic healthcare environments and end-stage renal disease (ESRD) related physical limitations that complicate face-to-face psychotherapy. Guided Internet-based self-help treatment has demonstrated to be effective for depressive symptoms in other chronic patient populations and may overcome these barriers. The aim of this study is to investigate the (cost) effectiveness of a guided Internet-based self-help intervention for symptoms of depression in dialysis patients.

methodsThis study is a cluster randomized controlled trial (RCT) that investigates the effectiveness of a 5-week Internet-based self-help Problem Solving Therapy (PST) for depressive symptoms in dialysis patients. Depressive symptoms will be measured using the Beck Depression Inventory - second edition (BDI-II), with a cut-off score of ≥10. We aim to include 206 dialysis patients with depressive symptoms who will be cluster randomized to the intervention or the Care as Usual (CAU) control group. Secondary outcomes will include anxiety symptoms, quality of life, economic costs and clinical outcomes, such as inflammatory factors and hair cortisol levels. Assessments will take place at baseline (T0), 2 weeks after intervention (T1) and 6 months (T2), 12 months (T3) and 18 months (T4) after intervention. The control group will be measured at the same time points. Analysis will be based on the intention-to-treat principle. Mixed models will be used to assess the changes within each condition between pre-treatment and post-treatment. DISCUSSION: If demonstrated to be (cost) effective, Internet-based PST will offer new possibilities to treat dialysis patients with depressive symptoms and to improve their quality of care.

trial registrationDutch Trial Register: Trial NL6648 (NTR6834) (prospectively registered 13th November 2017).

Indexed as

AdultCognitive Behavioral TherapyCost-Benefit AnalysisDepressionFemaleHumansInternet-Based InterventionMalePsychiatric Status Rating ScalesQuality of LifeRandomized Controlled Trials as TopicRenal DialysisSelf CareTreatment OutcomeCBTCost-effectivenessDepressionDialysisEHealthHair cortisolInternetPSTRCTSelf-help intervention

Identifiers

PMID31775685
PMCPMC6881986
OpenAlexW2990072672

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.