ArticleJournal of medical Internet research2020
Exploring the Vast Choice of Question Prompt Lists Available to Health Consumers via Google: Environmental Scan.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Large Language Model-Assisted Shared Decision-Making (SDM) in Rhinology: A Randomized Controlled Pilot Study.Laryngoscope investigative otolaryngology · 2026Article
- Optimizing the design and implementation of question prompt lists to support person-centred care: A scoping review.Health expectations : an international journal of public participation in health care and health policy · 2023Article
- Feasibility, acceptability, and outcomes of a pilot intervention facilitating communication about family building between patients with inherited cancer risk and their partners.PEC innovation · 2022Article
- Question prompt lists and endorsement of question-asking support patients to get the information they seek-A longitudinal qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- The Quality of Internet Websites for People Experiencing Psychosis: Pilot Expert Assessment.JMIR formative research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is increasing interest in shared decision making (SDM) in Australia. Question prompt lists (QPLs) support question asking by patients, a key part of SDM. QPLs have been studied in a variety of settings, and increasingly the internet provides a source of suggested questions for patients. Environmental scans have been shown to be useful in assessing the availability and quality of online SDM tools.
objectiveThis study aimed to assess the number and readability of QPLs available to users via Google.com.au.
methodsOur environmental scan used search terms derived from literature and reputable websites to search for QPLs available via Google.com.au. Following removal of duplicates from the 4000 URLs and 22 reputable sites, inclusion and exclusion criteria were applied to create a list of unique QPLs. A sample of 20 QPLs was further assessed for list length, proxy measures of quality such as a date of review, and evidence of doctor endorsement. Readability of the sample QPL instructions and QPLs themselves was assessed using Flesch Reading Ease and Flesch-Kincaid Grade Level scores.
resultsOur environmental scan identified 173 unique QPLs available to users. Lists ranged in length from 1 question to >200 questions. Of our sample, 50% (10/20) had a listed date of creation or update, and 60% (12/20) had evidence of authorship or source. Flesch-Kincaid Grade Level scores for instructions were higher than for the QPLs (grades 10.3 and 7.7, respectively). There was over a 1 grade difference between QPLs from reputable sites compared with other sites (grades 4.2 and 5.4, respectively).
conclusionsPeople seeking questions to ask their doctor using Google.com.au encounter a vast number of question lists that they can use to prepare for consultations with their doctors. Markers of the quality or usefulness of various types of online QPLs, either surrogate or direct, have not yet been established, which makes it difficult to assess the value of the abundance of lists. Doctor endorsement of question asking has previously been shown to be an important factor in the effectiveness of QPLs, but information regarding this is not readily available online. Whether these diverse QPLs are endorsed by medical practitioners warrants further investigation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.