Gonzalo Grandes

Bio: Gonzalo Grandes is an academic researcher from University of Deusto. The author has contributed to research in topics: Randomized controlled trial & Medicine. The author has an hindex of 18, co-authored 66 publications receiving 1422 citations.

Standards for Reporting Implementation Studies (StaRI): explanation and elaboration document.

Abstract: Objectives Implementation studies are often poorly reported and indexed, reducing their potential to inform the provision of healthcare services. The Standards for Reporting Implementation Studies (StaRI) initiative aims to develop guidelines for transparent and accurate reporting of implementation studies. Methods An international working group developed the StaRI guideline informed by a systematic literature review and e-Delphi prioritisation exercise. Following a face-to-face meeting, the checklist was developed iteratively by email discussion and critical review by international experts. Results The 27 items of the checklist are applicable to the broad range of study designs employed in implementation science. A key concept is the dual strands, represented as 2 columns in the checklist, describing, on the one hand, the implementation strategy and, on the other, the clinical, healthcare or public health intervention being implemented. This explanation and elaboration document details each of the items, explains the rationale and provides examples of good reporting practice. Conclusions Previously published reporting statements have been instrumental in improving reporting standards; adoption by journals and authors may achieve a similar improvement in the reporting of implementation strategies that will facilitate translation of effective interventions into routine practice.

A randomized controlled clinical trial of a psychosocial and communication intervention carried out by GPs for patients with medically unexplained symptoms.

Abstract: BACKGROUND: Somatizing patients are a challenge to general practitioners (GPs). A cluster randomized controlled trial was conducted to asses the effect of specific communication techniques delivered by GPs on somatizing patients' self-perceived health. METHOD: Thirty-nine GPs were assigned randomly to two parallel groups. GPs in the intervention group treated somatic patients according to specific communication techniques focused on offering a physical explanation - release of hormones - and approaching sensitive topics in the patient's experience indirectly. Control GPs used the standard Goldberg reattribution technique. A total of 156 patients, aged 18-65 years, were selected randomly from a list of 468 patients with six or more active symptoms for women and four or more for men. All patients had six programmed 30-min consultations. Health-related quality of life (assessed with the 36-item Short-Form Health Survey, SF-36) and a summary utility index were used as outcome measures. Patients were interviewed at home at baseline and at 3, 8 and 12 months after the beginning of the intervention. RESULTS: Patients in both groups improved in all dimensions of the SF-36. The time course of the quality of life was significantly better for the intervention group in five of the eight scales of the SF-36 (bodily pain, mental health, physical functioning, vitality, and social functioning) and in the utility index (p<0.039). CONCLUSIONS: Communication techniques were found to have a clinically relevant impact on body pain. This finding, together with a trend towards better scores in the remaining scales, justifies the use of these techniques in psychosocial interventions delivered to patients with medically unexplained symptoms.

Using Multivariate Statistics

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Physician advice for smoking cessation

Abstract: Healthcare professionals frequently advise patients to improve their health by stopping smoking. Such advice may be brief, or part of more intensive interventions. The aims of this review were to assess the effectiveness of advice from physicians in promoting smoking cessation; to compare minimal interventions by physicians with more intensive interventions; to assess the effectiveness of various aids to advice in promoting smoking cessation, and to determine the effect of anti-smoking advice on disease-specific and all-cause mortality.

A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy.

Abstract: Background: Current reporting of intervention content in published research articles and protocols is generally poor, with great diversity of terminology, resulting in low replicability. This study aimed to extend the scope and improve the reliability of a 26-item taxonomy of behaviour change techniques developed by Abraham and Michie [Abraham, C. and Michie, S. (2008). A taxonomy of behaviour change techniques used in interventions. Health Psychology, 27(3), 379–387.] in order to optimise the reporting and scientific study of behaviour change interventions. Methods: Three UK study centres collaborated in applying this existing taxonomy to two systematic reviews of interventions to increase physical activity and healthy eating. The taxonomy was refined in iterative steps of (1) coding intervention descriptions, and assessing inter-rater reliability, (2) identifying gaps and problems across study centres and (3) refining the labels and definitions based on consensus discussions. Results: Labels and definit...

The Answer Is 17 Years, What Is the Question

Abstract: This study aimed to review the literature describing and quantifying time lags in the health research translation process. Papers were included in the review if they quantified time lags in the development of health interventions. The study identified 23 papers. Few were comparable as different studies use different measures, of different things, at different time points. We concluded that the current state of knowledge of time lags is of limited use to those responsible for R&D and knowledge transfer who face difficulties in knowing what they should or can do to reduce time lags. This effectively ‘blindfolds’ investment decisions and risks wasting effort. The study concludes that understanding lags first requires agreeing models, definitions and measures, which can be applied in practice. A second task would be to develop a process by which to gather these data.