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Use of qualitative and mixed methods research in diagnostic technology evaluation and implementation: insights from a systematic review

Caity Roleston, Umasha Ukwatte, Nia Roberts, Gail N. Hayward et al. • Diagnostic and Prognostic Research (2026)

Abstract Background Development of new diagnostic health technologies is increasing, alongside interest in how they can be implemented into health services. Evaluation of new diagnostic tests has typically consisted of technical and diagnos...

DOAJ Open Access (DOAJ) DOI: 10.1186/s41512-026-00240-z

ASSESSMENT OF THE LEARNING CURVE IN HEALTH TECHNOLOGIES

Craig Robert Ramsay, Adrian Grant, Sheila A. Wallace, Paul H. Garthwaite et al. • International Journal of Technology Assessment in Health Care (2000)

OBJECTIVE: We reviewed and appraised the methods by which the issue of the learning curve has been addressed during health technology assessment in the past. METHOD: We performed a systematic review of papers in clinical databases (BIOSIS, ...

OPENALEX DOI: https://doi.org/10.1017/s0266462300103149

HEALTH TECHNOLOGIES

Maria Carolina Salustino dos Santos, Ana Emília Araújo de Oliveira, Raquel Carvalho Lima, Iracema Vitória Gomes Lins Paz et al. • Health and Society (2022)

The use of health technologies provides better health management, anchored in equity, communication and governance in health. Technologies are conceptualized as a tool, which helps from planning to the execution of activities, and can be ap...

OPENALEX cc-by DOI: https://doi.org/10.51249/hs.v2i02.1011

Statistical assessment of the learning curves of health technologies

Craig Robert Ramsay, Adrian Grant, Sheila A. Wallace, Paul H. Garthwaite et al. • Health Technology Assessment (2001)

OBJECTIVES: (1) To describe systematically studies that directly assessed the learning curve effect of health technologies. (2) Systematically to identify 'novel' statistical techniques applied to learning curve data in other fields, such a...

OPENALEX cc-by DOI: https://doi.org/10.3310/hta5120

Remote Consultations in England During COVID-19: Challenges in Data Quality, Linkage, and Research Validity

Liliana Hidalgo-Padilla, Massar Dabbous, Kristoffer Halvorsrud, Thomas Beaney et al. • Online Journal of Public Health Informatics (2025)

AbstractThe COVID-19 pandemic accelerated the adoption of remote consultations across health care, requiring rapid adjustments in service delivery. Consequently, there is an urgent need to understand the impact of remote consultations on he...

DOAJ Open Access (DOAJ) DOI: 10.2196/66672

Hackathons as Stepping Stones in Health Care Innovation: Case Study With Systematic Recommendations

Poncette, Akira-Sebastian, Rojas, Pablo-David, Hofferbert, Joscha, Valera Sosa, Alvaro et al. • Journal of Medical Internet Research (2020)

BackgroundUntil recently, developing health technologies was time-consuming and expensive, and often involved patients, doctors, and other health care professionals only as passive recipients of the end product. So far, users have been mini...

DOAJ Open Access (DOAJ) DOI: 10.2196/17004

SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature

Behrouz Bokharaeian, Alberto Diaz, Nasrin Taghizadeh, Hamidreza Chitsaz et al. • Journal of Biomedical Semantics (2017)

Abstract Background Single Nucleotide Polymorphisms (SNPs) are among the most important types of genetic variations influencing common diseases and phenotypes. Recently, some corpora and methods have been developed with the purpose of extra...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13326-017-0116-2

‘Optimal’ cutoff selection in studies of depression screening tool accuracy using the PHQ‐9, EPDS, or HADS‐D: A meta‐research study

Eliana Brehaut, Dipika Neupane, Brooke Levis, Yin Wu et al. • International Journal of Methods in Psychiatric Research (2023)

Abstract Objectives Optimal cutoff thresholds are selected to separate ‘positive’ from ‘negative’ screening results. We evaluated how depression screening tool studies select optimal cutoffs. Methods We included studies from previously cond...

DOAJ Open Access (DOAJ) DOI: 10.1002/mpr.1956

Effects of chronic taurine administration on healthy pregnant rats and the consequences on the offspring: Datasets for motor tests and oxidative stress

Viridiana Vargas-Castro, Ricardo Gomez-Diaz, Victor M. Blanco-Alvarez, Constantino Tomas-Sanchez et al. • Data in Brief (2022)

We present the data for taurine (2-aminoethanesulfonic acid) treatment to healthy pregnant Sprague Dawley rats (SD). At embryonic day 15 (E15), healthy pregnant SD rats were given taurine treatment (50 mg/L drinking water) and then to their...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2022.108015

The effect of structured medication review followed by face-to-face feedback to prescribers on adverse drug events recognition and prevention in older inpatients – a multicenter interrupted time series study

Joanna E. Klopotowska, Paul F. M. Kuks, Peter C. Wierenga, Clementine C. M. Stuijt et al. • BMC Geriatrics (2022)

Abstract Background The effectiveness of interventions to improve medication safety in older inpatients is unclear, given a paucity of properly designed intervention studies applying clinically relevant endpoints such as hospital-acquired p...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12877-022-03118-z

The Reconnecting the Hand and Arm with Brain (ReHAB) Commentary on “An Integrated Brain-Machine Interface Platform With Thousands of Channels”

Kirsch, Robert F, Ajiboye, A Bolu, Miller, Jonathan P • Journal of Medical Internet Research (2019)

Intracortical brain-machine interfaces are a promising technology for allowing people with chronic and severe neurological disorders that resulted in loss of function to potentially regain those functions through neuroprosthetic devices. Th...

DOAJ Open Access (DOAJ) DOI: 10.2196/16339

Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations

Gábor Kőrösi, Oliver Czimbalmos, Gabriella Kekesi, Gyongyi Horvath • Scientific Data (2026)

Abstract We present a high-throughput behavioral dataset acquired with Ambitus, an automated reward-based corridor system that records locomotor and exploratory activities and cognitive functions after minimal handling. The collection conta...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41597-026-06735-0

Understanding tinnitus symptom dynamics and clinical improvement through intensive longitudinal data

Milena Engelke, Jorge Piano Simões, Laura Basso, Nina Wunder et al. • npj Digital Medicine (2025)

Abstract Intensive longitudinal sampling enhances subjective data collection by capturing real-time, dynamic inputs in natural settings, complementing traditional methods. This study evaluates the feasibility of using daily self-reported ap...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-024-01425-w