AIMC Topic: Research Design

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Association between voice-activated technology interventions and well-being in older adults living alone: a protocol for a systematic review and meta-analysis.

BMJ open
INTRODUCTION: A growing number of community-dwelling older adults living alone face a range of physical, psychological and social challenges that negatively impact their well-being. Various technologies have been developed to support healthy ageing, ...

Prognostic machine learning models for predicting postoperative complications following general surgery in Bandar Abbas, Iran: a study protocol.

BMJ open
INTRODUCTION: To enhance the quality of surgical care, complications need to be minimised. Consequently, comprehending the occurrence and risk elements for postoperative complications is essential. Subsequently, we will apply machine learning (ML) al...

PND.heter.cluster: An R package for estimating cluster-specific treatment effects in partially nested designs.

Behavior research methods
Partially nested designs-where clustering occurs in some but not all study arms-are common in psychological and behavioral research. In these designs, clustering often arises in the treatment arm due to the treatment delivery, such as individuals clu...

Impact of Connected Mental Health on the Work Environment of Mental Health Clinicians: Protocol for a Systematic Literature Review.

JMIR research protocols
BACKGROUND: Many mental health professionals face work-related stress due to high job demands, limited control, and inadequate institutional support. Connected mental health (CMH) technologies such as mobile apps and teletherapy platforms are increas...

Time for Clarity in Exploring the Evidence and Key Concepts of Human-Centered Design in Digital Health Care: Protocol for a Scoping Review.

JMIR research protocols
BACKGROUND: Human-centered design (HCD) methodologies such as design thinking (DT), user-centered design, cocreation, and participatory design (PD) have been adopted to facilitate user and stakeholder involvement in the development of eHealth applica...

Looking back to move forward: can historical clinical trial data and machine learning drive change in participant recruitment in anticipation of future value assessments?

Trials
Drug development is an expensive endeavor, with costs averaging $879.3 million and only 14.3% of them ultimately securing regulatory approval. One fundamental challenge is ensuring that the enrolled patient population in a clinical trial accurately r...

Systematic protocol to identify 'clinical controls' for paediatric neuroimaging research from clinically acquired brain MRIs.

BMJ open
INTRODUCTION: Progress at the intersection of artificial intelligence and paediatric neuroimaging necessitates large, heterogeneous datasets to generate robust and generalisable models. Retrospective analysis of clinical brain MRI scans offers a prom...

Assessing the potential utility of large language models for assisting community health workers: protocol for a prospective, observational study in Rwanda.

BMJ open
INTRODUCTION: Community health workers (CHWs) are critical to healthcare delivery in low-resource settings but often lack formal clinical training, limiting their decision-making. Large language models (LLMs) could provide real-time, context-specific...

Voice as a digital biomarker in schizophrenia: a scoping review protocol on the application of artificial intelligence.

BMJ open
INTRODUCTION: There are many barriers to mental health services, including cost and stigma. Even when individuals receive professional care, assessments are intermittent and may be limited in part by the cyclical nature of psychiatric symptoms. The h...

Understanding the complexity of living with, and managing, secretions in motor neuron disease/amyotrophic lateral sclerosis (MND/ALS/ALS): protocol for a complex intervention systematic review.

BMJ open
INTRODUCTION: Motor neuron disease/amyotrophic lateral sclerosis (MND/ALS/ALS) is an incurable disease which leads to muscle weakness that worsens over time. MND/ALS is highly heterogeneous in its presentation, with many people experiencing a rapidly...