Dataset Information

Doctor! Did you Google my symptoms? A qualitative study of patient perceptions of doctors' point-of-care information seeking.

ABSTRACT:

Objective

To explore patient perceptions regarding doctors' information seeking during consultations.

Design and setting

Qualitative interviews with participants from six general practice waiting rooms in South East Queensland, Australia. Participants were asked about their experiences and opinions, and to comment on short videos of simulated consultations in which a doctor sought information. The interviews were analysed through a process of iterative thematic analysis using the framework of Braun and Clarke.

Participants

The 16 participants were purposively sampled including 5 men and 11 women from a diverse range of educational and age groups.

Results

How a doctor's need to look up information impacted patient impressions of competence and trust was an overarching theme. The four dominant themes include: the trust a patient has in the doctor before the consultation, whether the doctor is expected to know the answer to a question without searching, has the doctor added value to the consultation by searching and the consultation skills used in the process.

Conclusions

Patient trust is fundamental to positive perceptions of general practitioners' information seeking at the point-of-care. Communication is key to building this trust. Understanding the patient's agenda, listening, assessing thoroughly and being honest and transparent about the need to seek information all contribute to a positive experience.

SUBMITTER: Tranter I

PROVIDER: S-EPMC9335025 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Doctor! Did you Google my symptoms? A qualitative study of patient perceptions of doctors' point-of-care information seeking.

Tranter Isaac I van Driel Mieke L ML Mitchell Ben B

BMJ open 20220727 7

<h4>Objective</h4>To explore patient perceptions regarding doctors' information seeking during consultations.<h4>Design and setting</h4>Qualitative interviews with participants from six general practice waiting rooms in South East Queensland, Australia. Participants were asked about their experiences and opinions, and to comment on short videos of simulated consultations in which a doctor sought information. The interviews were analysed through a process of iterative thematic analysis using the ...[more]

PMID: 35896298

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Project description:BackgroundThe Internet provides a platform to access health information and support self-management by consumers with chronic health conditions. Despite recognized barriers to accessing Web-based health information, there is a lack of research quantitatively exploring whether consumers report difficulty finding desired health information on the Internet and whether these consumers would like assistance (ie, navigational needs). Understanding navigational needs can provide a basis for interventions guiding consumers to quality Web-based health resources.ObjectiveWe aimed to (1) estimate the proportion of consumers with navigational needs among seekers of Web-based health information with chronic health conditions, (2) describe Web-based health information-seeking behaviors, level of patient activation, and level of eHealth literacy among consumers with navigational needs, and (3) explore variables predicting navigational needs.MethodsA questionnaire was developed based on findings from a qualitative study on Web-based health information-seeking behaviors and navigational needs. This questionnaire also incorporated the eHealth Literacy Scale (eHEALS; a measure of self-perceived eHealth literacy) and PAM-13 (a measure of patient activation). The target population was consumers of Web-based health information with chronic health conditions. We surveyed a sample of 400 Australian adults, with recruitment coordinated by Qualtrics. This sample size was required to estimate the proportion of consumers identified with navigational needs with a precision of 4.9% either side of the true population value, with 95% confidence. A subsample was invited to retake the survey after 2 weeks to assess the test-retest reliability of the eHEALS and PAM-13.ResultsOf 514 individuals who met our eligibility criteria, 400 (77.8%) completed the questionnaire and 43 participants completed the retest. Approximately half (51.3%; 95% CI 46.4-56.2) of the population was identified with navigational needs. Participants with navigational needs appeared to look for more types of health information on the Internet and from a greater variety of information sources compared to participants without navigational needs. However, participants with navigational needs were significantly less likely to have high levels of eHealth literacy (adjusted odds ratio=0.83, 95% CI 0.78-0.89, P<.001). Age was also a significant predictor (P=.02).ConclusionsApproximately half of the population of consumers of Web-based health information with chronic health conditions would benefit from support in finding health information on the Internet. Despite the popularity of the Internet as a source of health information, further work is recommended to maximize its potential as a tool to assist self-management in consumers with chronic health conditions.

Project description:RationaleHistoric and present-day racism and inequity in the United States (U.S.) have resulted in diminished trust in health care among many populations. A key barrier to improving trust in health care is a dearth of well-validated measures appropriate for diverse populations. Indeed, systematic reviews indicate a need to develop and test updated trust measures that are multidimensional and inclusive of relevant domains (e.g., fairness).ObjectiveWe developed three trust measures: the Trust in My Doctor (T-MD), Trust in Doctors in General (T-DiG), and Trust in the Health Care Team (T-HCT) scales.MethodsAfter developing an initial item pool, expert reviewers (n = 6) provided feedback on the face validity of each scale. We conducted cognitive interviews (n = 21) with a convenience sample of adults to ensure items were interpreted as intended. In 2020, we administered an online survey to a convenience sample of U.S. adults recruited through the Qualtrics Panel (n = 801) to assess scale reliability and validity.ResultsExploratory and confirmatory factor analyses indicated acceptable model fit for second order latent factor models for each scale (root mean square error of approximation: <0.07, comparative fit index: ≥0.98, and standardized root mean square residual: ≤0.03). The T-MD contained 25 items and six subscales: communication competency, fidelity, systems trust, confidentiality, fairness, and global trust. The T-DiG and T-HCT each contained 29 items and seven subscales (the same subscales in the T-MD plus an additional subscale related to stigma-based discrimination). Each scale was strongly correlated with existing trust measures and perceived racism in health care and was significantly associated with delayed health care seeking and receipt of a routine health exam.ConclusionsThe multidimensional T-MD, T-DiG, and T-HCT scales have sound psychometric properties and may be useful for researchers evaluating trust-related interventions or conducting studies where trust is an important construct or main outcome.

Project description:BackgroundThe complexity of modern practice requires health professionals to be active information-seekers.ObjectiveOur aim was to review the quality and progress of point-of-care information summaries-Web-based medical compendia that are specifically designed to deliver pre-digested, rapidly accessible, comprehensive, and periodically updated information to health care providers. We aimed to evaluate product claims of being evidence-based.MethodsWe updated our previous evaluations by searching Medline, Google, librarian association websites, and conference proceedings from August 2012 to December 2014. We included Web-based, regularly updated point-of-care information summaries with claims of being evidence-based. We extracted data on the general characteristics and content presentation of products, and we quantitatively assessed their breadth of disease coverage, editorial quality, and evidence-based methodology. We assessed potential relationships between these dimensions and compared them with our 2008 assessment.ResultsWe screened 58 products; 26 met our inclusion criteria. Nearly a quarter (6/26, 23%) were newly identified in 2014. We accessed and analyzed 23 products for content presentation and quantitative dimensions. Most summaries were developed by major publishers in the United States and the United Kingdom; no products derived from low- and middle-income countries. The main target audience remained physicians, although nurses and physiotherapists were increasingly represented. Best Practice, Dynamed, and UptoDate scored the highest across all dimensions. The majority of products did not excel across all dimensions: we found only a moderate positive correlation between editorial quality and evidence-based methodology (r=.41, P=.0496). However, all dimensions improved from 2008: editorial quality (P=.01), evidence-based methodology (P=.015), and volume of diseases and medical conditions (P<.001).ConclusionsMedical and scientific publishers are investing substantial resources towards the development and maintenance of point-of-care summaries. The number of these products has increased since 2008 along with their quality. Best Practice, Dynamed, and UptoDate scored the highest across all dimensions, while others that were marketed as evidence-based were less reliable. Individuals and institutions should regularly assess the value of point-of-care summaries as their quality changes rapidly over time.

Project description:BACKGROUND:Some of the temporal variations and clock-like rhythms that govern several different health-related behaviors can be traced in near real-time with the help of search engine data. This is especially useful when studying phenomena where little or no traditional data exist. One specific area where traditional data are incomplete is the study of diurnal mood variations, or daily changes in individuals' overall mood state in relation to depression-like symptoms. OBJECTIVE:The objective of this exploratory study was to analyze diurnal variations for interest in depression on the Web to discover hourly patterns of depression interest and help seeking. METHODS:Hourly query volume data for 6 depression-related queries in Finland were downloaded from Google Trends in March 2017. A continuous wavelet transform (CWT) was applied to the hourly data to focus on the diurnal variation. Longer term trends and noise were also eliminated from the data to extract the diurnal variation for each query term. An analysis of variance was conducted to determine the statistical differences between the distributions of each hour. Data were also trichotomized and analyzed in 3 time blocks to make comparisons between different time periods during the day. RESULTS:Search volumes for all depression-related query terms showed a unimodal regular pattern during the 24 hours of the day. All queries feature clear peaks during the nighttime hours around 11 PM to 4 AM and troughs between 5 AM and 10 PM. In the means of the CWT-reconstructed data, the differences in nighttime and daytime interest are evident, with a difference of 37.3 percentage points (pp) for the term "Depression," 33.5 pp for "Masennustesti," 30.6 pp for "Masennus," 12.8 pp for "Depression test," 12.0 pp for "Masennus testi," and 11.8 pp for "Masennus oireet." The trichotomization showed peaks in the first time block (00.00 AM-7.59 AM) for all 6 terms. The search volumes then decreased significantly during the second time block (8.00 AM-3.59 PM) for the terms "Masennus oireet" (P<.001), "Masennus" (P=.001), "Depression" (P=.005), and "Depression test" (P=.004). Higher search volumes for the terms "Masennus" (P=.14), "Masennustesti" (P=.07), and "Depression test" (P=.10) were present between the second and third time blocks. CONCLUSIONS:Help seeking for depression has clear diurnal patterns, with significant rise in depression-related query volumes toward the evening and night. Thus, search engine query data support the notion of the evening-worse pattern in diurnal mood variation. Information on the timely nature of depression-related interest on an hourly level could improve the chances for early intervention, which is beneficial for positive health outcomes.

Dataset Information

Doctor! Did you Google my symptoms? A qualitative study of patient perceptions of doctors' point-of-care information seeking.

Objective

Design and setting

Participants

Results

Conclusions

Publications

Doctor! Did you Google my symptoms? A qualitative study of patient perceptions of doctors' point-of-care information seeking.

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