Evidence map›Paper›PMID 27652078›Full record

ArticleSpringerPlus2016

Effectiveness of computerized point-of-care reminders on adherence with multiple clinical recommendations by primary health care providers: protocol for a cluster-randomized controlled trial.

Leonardo Méndez Boo, Ermengol Coma, Manuel Medina, Eduardo Hermosilla, Manuel Iglesias, Carmen Olmos, Sebastian Calero Muñoz, Johanna Caro Mendivelso

Abstract read
In one paragraph

Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

8 authors.

Leonardo Méndez BooSistemes d'Informació d'Atenció Primària (SISAP), Institut Català de la Salut, Barcelona, Catalonia Spain.
Ermengol ComaSistemes d'Informació d'Atenció Primària (SISAP), Institut Català de la Salut, Barcelona, Catalonia Spain.
Manuel MedinaSistemes d'Informació d'Atenció Primària (SISAP), Institut Català de la Salut, Barcelona, Catalonia Spain.
Eduardo HermosillaInstitut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Gran Via de les Corts Catalanes 587, 08007 Barcelona, Catalonia Spain.
Manuel IglesiasOficina Projecte ECAP, Centre de competència funcional, Institut Català de la Salut, Barcelona, Catalonia Spain.
Carmen OlmosOficina Projecte ECAP, Centre de competència funcional, Institut Català de la Salut, Barcelona, Catalonia Spain.
Sebastian Calero MuñozÀrea de Desenvolupament Clínic, Institut Català de la Salut, Barcelona, Spain.
Johanna Caro MendivelsoInstitut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Gran Via de les Corts Catalanes 587, 08007 Barcelona, Catalonia Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine the effectiveness of reminders compared to no reminders in improving adherence to multiple clinical recommendations measured as the resolution of the clinical condition that motivated the reminder, in a primary care setting with a well-established feedback system. METHODS/

designA 12-month, cluster-randomized, controlled clinical trial was designed (randomized by primary care team) to evaluate the impact of computerized reminders. All study participants will continue to receive the usual feedback from the electronic health records system. The control group (well-established feedback) will be compared with reminders and a well-established feedback system. The study will include all general practitioners (3425) and nurses (3262) providing primary care for a population aged 14 years or older in the 282 primary care teams reporting to the Catalan Institute of Health. Up to 10 clinical reminders are offered for each patient, recommending action related to at least one of nine clinical conditions: arterial hypertension, elevated cardiovascular risk, type 2 diabetes mellitus, cerebrovascular accident, ischemic heart disease, heart failure, atrial fibrillation, smoking habit, and hepatitis C. The outcomes are the resolution of the clinical condition that motivated the reminder and the time elapsed between the first reminder message and implementation of the recommended action (months). Due to the obvious correlation between reminders about the same patient, the profile of patients assigned to a particular professional, and the professionals assigned to a particular centre, hierarchical modelling will be used to simultaneously estimate the effect of the study variables at these different levels of analysis. To estimate the impact of the intervention arm, an analysis of adherence to each type of reminder will be carried out, using multi-level logistical regression models at level of the primary care centre. Time to adherence will be estimated by the Kaplan-Meier method and comparisons will be done using the log-rank test. DISCUSSION: The results of this study could provide new evidence on the impact of computerized reminders at the point of care on adherence to clinical guidelines in primary care with an established feedback system. Trial registration ISRCTN42391639. October 8, 2012.

Indexed as

Electronic health recordPrimary health careQuality of health careReminder systems

Identifiers

PMID27652078
PMCPMC5014773

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.