Trip Database

Evidence-based search engine making it easy to find trusted answers to your clinical Qs #EBM

[Trip Database @tripdatabase]

An important collection of posts to help you use and understand Trip https://t.co/9fhMfCjWvQ

[Trip Database @tripdatabase]

A lovely graph of AskTrip’s success https://t.co/LTJdgffCF7

[Trip Database @tripdatabase]

AskTrip is more popular than ever https://t.co/LTJdgfgauF

[Trip Database @tripdatabase]

A lovely graph of AskTrip’s success https://t.co/LTJdgffCF7

[Trip Database @tripdatabase]

We get lots of non-clinical Qs - this analysis was fun and interesting! https://t.co/GrtySGCFPF

[Trip Database @tripdatabase]

AskTrip: The largest theme beyond individual clinical care was service organisation and quality: 988 Qs about staffing, pathways, waiting times, missed care and more. These are practical questions about the conditions that allow good care to happen. https://t.co/GrtySGC807

[Trip Database @tripdatabase]

A question about interpreters may need research on accuracy, patient experience, equity and implementation. Our analysis of 20,000 AskTrip questions suggests evidence tools need to handle the realities of delivering care, not just treatment choices. https://t.co/GrtySGC807

[Trip Database @tripdatabase]

AskTrip Qs beyond individual clinical care did not receive obviously poorer quality labels: 49.7% were labelled High or Good, the same rounded share as the full dataset. Those labels alone cannot tell us whether the answers were accurate or useful. https://t.co/GrtySGCFPF

[Trip Database @tripdatabase]

Workforce wellbeing repeatedly appeared as an evidence question. In our core set, explicit nurse-burnout questions outnumbered doctor-burnout questions 13 to 5. That’s a count of questions, not people, but it shows what users are bringing to AskTrip. https://t.co/GrtySGCFPF

[Trip Database @tripdatabase]

A question comparing professional interpreters with ad hoc translation by bilingual staff spans equity, communication and service design. Real evidence needs rarely fit neatly into one category. We found many such overlaps in AskTrip’s first 20k questions. https://t.co/GrtySGCFPF

[Trip Database @tripdatabase]

Who is healthcare evidence for? We found 238 questions about carers and family support. One asked how schools can recognise and support young carers. The setting is a school, but the need is part of the wider reality of care. https://t.co/GrtySGC807

[Trip Database @tripdatabase]

Among 2,433 primarily non-clinical AskTrip questions, 471 concerned education and training; 402 concerned communication and patient experience. People need evidence on how care is learned and delivered, as well as on what works clinically. https://t.co/GrtySGC807

[Trip Database @tripdatabase]

“How does nurse staffing level impact the incidence of missed care in hospital settings?” It sounds like a workforce question. It is also a question about patient care. Our analysis explores where those categories meet. https://t.co/GrtySGC807

[Trip Database @tripdatabase]

We get lots of non-clinical Qs - this analysis was fun and interesting! https://t.co/GrtySGC807

[Trip Database @tripdatabase]

The largest theme beyond individual clinical care was service organisation and quality: 988 questions about staffing, pathways, waiting times, missed care and more. These are practical questions about the conditions that allow good care to happen. https://t.co/GrtySGCFPF

[Trip Database @tripdatabase]

Real AskTrip queries, real limitations, real lessons. This is what building an evidence-based AI tool actually looks like - learning from the edge cases and getting sharper each time: https://t.co/tsB9FGWmpb

[Trip Database @tripdatabase]

Not every question needs the same kind of proof. Definitions need clarity and good sourcing; empirical claims need validation. Spotting that distinction is quietly one of the most useful upgrades an evidence tool can make: https://t.co/tsB9FGWUeJ

[Trip Database @tripdatabase]

Three unusual questions landed in AskTrip recently and instead of just noting the misses, we dug into why. Turns out there's a neat framework for making evidence tools smarter about what they don't know: https://t.co/tsB9FGWmpb

[Trip Database @tripdatabase]

Do we hold the right sources? Did we retrieve the relevant ones? Are we judging them by the right criteria? Three questions every evidence service should ask, prompted by watching AskTrip stumble on a genuinely hard set of queries: https://t.co/tsB9FGWmpb

[Trip Database @tripdatabase]

"Limited evidence" can mean a real research gap, a database gap, or just a failed search. Those aren't the same thing, and conflating them misleads readers. A closer look at what went wrong (and right) with three AskTrip answers:
https://t.co/tsB9FGWmpb

[Trip Database @tripdatabase]

3 Qs on sexual & reproductive rights hit AskTrip recently. The answers weren't wrong exactly, they just judged conceptual questions by empirical standards, missing what was actually being asked. What this reveals about evidence services: https://t.co/tsB9FGWmpb