Conducting research in general practice: lessons learnt from experience.

Health Promot J Austr

Department of Public Health and Environment, School of Public Health, La Trobe University, Bendigo, Victoria.

Published: April 2005

Issue Addressed: The increased focus on evidence-based practice and the World Health Organization (WHO) settings approach to health promotion have contributed to an increase in the importance of health promotion activity and therefore research being undertaken in the general practice setting. Primary care-based trials represent major investments in time and resources for researchers, health professionals and patients, and there are several methodological and logistical issues that need to be considered. The costs of failed trials are potentially significant and include wasted resources, opportunity costs of participants' time and discouragement of primary care professionals from co-operating with further research.

Discussion: This paper presents an overview of the important logistical and methodological considerations when conducting research in this setting. This paper is written for researchers new to the general practice setting. We discuss logistical challenges such as literature searching, ethical considerations, recruitment and retention of GPs, practices and patients, working with practices, and financial considerations. Methodological considerations including issues relating to patient recruitment, clustering, Hawthorne effect, ensuring conformity of intervention, avoiding contamination, and confounders are also discussed. A checklist for researchers contemplating research in this setting is supplied.

Download full-text PDF

Source
http://dx.doi.org/10.1071/he05041DOI Listing

Publication Analysis

Top Keywords

general practice
12
health promotion
8
practice setting
8
methodological considerations
8
conducting general
4
practice
4
practice lessons
4
lessons learnt
4
learnt experience
4
experience issue
4

Similar Publications

Importance: Routine preoperative blood tests and electrocardiograms before low-risk surgery do not prevent adverse events or change management but waste resources and can cause patient harm. Given this, multispecialty organizations recommend against routine testing before low-risk surgery.

Objective: To determine whether a multicomponent deimplementation strategy (the intervention) would reduce low-value preoperative testing before low-risk general surgery operations.

View Article and Find Full Text PDF

Background: Chronic kidney disease (CKD) represents a significant public health challenge, with rates consistently on the rise. Enhancing kidney function prediction could contribute to the early detection, prevention, and management of CKD in clinical practice. We aimed to investigate whether deep learning techniques, especially those suitable for processing missing values, can improve the accuracy of predicting future renal function compared to traditional statistical method, using the Japan Chronic Kidney Disease Database (J-CKD-DB), a nationwide multicenter CKD registry.

View Article and Find Full Text PDF

Objectives: To translate, cross-culturally adapt and validate the Serbian Ankylosing Spondylitis Quality of Life (ASQoL) questionnaire, e.g. according to the new nomenclature Radiographic-Axial Spondyloarthritis (r-axSpA), and to relate it to disease activity and functional status domains.

View Article and Find Full Text PDF

Late-onset Systemic Lupus Erythematosus.

Rheumatol Int

January 2025

Department of Rheumatology, Immunology and Internal Medicine, University Hospital in Kraków, Kraków, Poland.

Systemic lupus erythematosus (SLE) is a multisystem autoimmune rheumatic disease (ARD) that results from the dysregulation of multiple innate and adaptive immune pathways. Late-onset SLE (Lo-SLE) is the term used when the disease is first diagnosed after 50-65 years, though the standard age cut-off remains undefined. Defining "late-onset" as lupus with onset after 50 years is more biologically plausible as this roughly corresponds to the age of menopause.

View Article and Find Full Text PDF

Evaluating a clinically available artificial intelligence model for intracranial aneurysm detection: a multi-reader study and algorithmic audit.

Neuroradiology

January 2025

Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210002, Jiangsu, China.

Purpose: We aimed to validate a clinically available artificial intelligence (AI) model to assist general radiologists in the detection of intracranial aneurysm (IA) in a multi-reader multi-case (MRMC) study, and to explore its performance in routine clinical settings.

Methods: Two distinct cohorts of head CT angiography (CTA) data were assembled to validate an AI model. Cohort 1, comprising gold-standard consecutive CTA cases, was used in an MRMC study involving six board-certified general radiologists.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!