Dataset Information

What attributes of patients affect their involvement in safety? A key opinion leaders' perspective.

ABSTRACT:

Objective

Little is known about which attributes the patients need when they wish to maximise their capability to partner safely in healthcare. We aimed to identify these attributes from the perspective of key opinion leaders.

Design

Delphi study involving indirect group interaction through a structured two-round survey.

Setting

International electronic survey.

Participants

11 (65%) of the 17 invited internationally recognised experts on patient safety completed the study.

Outcome measures

50 patient attributes were rated by the Delphi panel for their ability to contribute maximally to safe health care.

Results

The panellists agreed that 13 attributes are important for patients who want to maximise the role of safe partners. These domains relate to: autonomy, awareness, conscientiousness, knowledge, rationality, responsiveness and vigilance; for example, important attributes of autonomy include the ability to speak up, freedom to act and ability to act independently. Spanning seven domains, the attributes emphasise intellectual attributes and, to a lesser extent, moral attributes.

Conclusions

Whereas current safety discourses emphasise attributes of professionals, this study identified the patient attributes which key opinion leaders believe can maximise the capability of patients to partner safely in healthcare. Further research is needed that asks patients about the attributes they believe are most important.

SUBMITTER: Buetow S

PROVIDER: S-EPMC3752058 | biostudies-literature | 2013 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

What attributes of patients affect their involvement in safety? A key opinion leaders' perspective.

Buetow Stephen S Davis Rachel R Callaghan Kathleen K Dovey Susan S

BMJ open 20130813 8

<h4>Objective</h4>Little is known about which attributes the patients need when they wish to maximise their capability to partner safely in healthcare. We aimed to identify these attributes from the perspective of key opinion leaders.<h4>Design</h4>Delphi study involving indirect group interaction through a structured two-round survey.<h4>Setting</h4>International electronic survey.<h4>Participants</h4>11 (65%) of the 17 invited internationally recognised experts on patient safety completed the ...[more]

PMID: 23943773

Similar Datasets

Project description:Background The ever-increasing burden of diabetes and the limited resources highlight the need for prioritization of national action goals for diabetes management. The Israeli National Diabetes Council (INDC) initiated a prioritization process aiming to set a top list of diabetes related goals, as suggested by decision makers and health professionals. Methods A 2-step prioritization process, including a small (n = 32) circle of key opinion leaders of the INDC and a larger (n = 195) nationwide circle of diabetes health professionals consisting of physicians, nurses, and dieticians working in diabetes care centers, hospitals and family practice clinics, was established. An online questionnaire presenting 45 different action areas in diabetes prevention and care was distributed to the INDC members who ranked the 3 top diabetes priorities based on their individual interpretation of importance and applicability. The 7 highest ranking priorities were later presented to hospital-based and community diabetes health professionals. These professionals selected the 3 top priorities, based on their perceived importance. Results Council members opted mostly for action areas regarding specific populations, such as clinics for adult type-1 diabetes patients, diabetic foot, and pediatric and adolescent patients, while the health professionals’ top priorities were mostly in the general field of prevention, namely high-risk prediabetes population, prevention of obesity, and promotion of healthy life-style. In addition, priorities differed between hospital and community health professionals as well as between different professional groups. Conclusions A national prioritization process of action areas in diabetes prevention and care is attainable. The resulting item list is affected by professional considerations. These priorities may direct efforts in the implementation of interventions to improve national-level diabetes management. Supplementary Information The online version contains supplementary material available at 10.1186/s13584-022-00540-x.

Project description:BackgroundRapid identification of subject experts for medical topics helps in improving the implementation of discoveries by speeding the time to market drugs and aiding in clinical trial recruitment, etc. Identifying such people who influence opinion through social network analysis is gaining prominence. In this work, we explore how to combine named entity recognition from unstructured news articles with social network analysis to discover opinion leaders for a given medical topic.MethodsWe employed a Conditional Random Field algorithm to extract three categories of entities from health-related new articles: Person, Organization and Location. We used the latter two to disambiguate polysemy and synonymy for the person names, used simple rules to identify the subject experts, and then applied social network analysis techniques to discover the opinion leaders among them based on their media presence. A network was created by linking each pair of subject experts who are mentioned together in an article. The social network analysis metrics (including centrality metrics such as Betweenness, Closeness, Degree and Eigenvector) are used for ranking the subject experts based on their power in information flow.ResultsWe extracted 734,204 person mentions from 147,528 news articles related to obesity from January 1, 2007 through July 22, 2010. Of these, 147,879 mentions have been marked as subject experts. The F-score of extracting person names is 88.5%. More than 80% of the subject experts who rank among top 20 in at least one of the metrics could be considered as opinion leaders in obesity.ConclusionThe analysis of the network of subject experts with media presence revealed that an opinion leader might have fewer mentions in the news articles, but a high network centrality measure and vice-versa. Betweenness, Closeness and Degree centrality measures were shown to supplement frequency counts in the task of finding subject experts. Further, opinion leaders missed in scientific publication network analysis could be retrieved from news articles.

Project description:BackgroundResearch has identified cognitive behavioral therapy with exposures (CBT) as an effective treatment for youth anxiety. Despite implementation efforts, few anxious youth receive CBT. Direct-to-consumer marketing offers a different approach to address the unmet need for youth receiving effective treatments. Involving a local caregiver key opinion leader in direct-to-consumer initiatives may be an effective strategy to increase caregiver demand for CBT. Research indicates that key opinion leaders improve health promotion campaigns, but key opinion leaders have not been studied in the context of increasing caregiver demand for evidence-based treatments.MethodProject CHAT (Caregivers Hearing about Anxiety Treatments) will test the role of key opinion leader participation in conducting outreach presentations to increase caregiver desire to seek CBT for their youth's anxiety. Caregiver attendees (N = 180) will be cluster randomized by school to receive one of two different approaches for presentations on CBT for youth anxiety. Both approaches will involve community outreach presentations providing information on recognizing youth anxiety, strategies caregivers can use to decrease youth anxiety, and how to seek CBT for youth anxiety. The researcher-only condition will be co-facilitated by two researchers. In the key opinion leader condition, a caregiver key opinion leader from each local community will be involved in tailoring the content of the presentation to the context of the community, co-facilitating the presentation with a researcher, and endorsing strategies in the presentation that they have found to be helpful. In line with the theory of planned behavior, caregiver attendees will complete measures assessing their knowledge of, attitudes towards, perceived subjective norms about, and intention to seek CBT pre- and post-presentation; they will indicate whether they sought CBT for their youth at 3-month follow-up. Results will be analyzed using a mixed method approach to assess the effectiveness of a key opinion leader to increase caregiver demand for CBT.DiscussionThis study will be the first to examine the potential of key opinion leaders to increase caregiver demand for CBT. If proven effective, the use of key opinion leaders could serve as a scalable dissemination strategy to increase the reach of evidence-based treatments.Trial registrationThis trial was registered on clinicaltrials.gov ( NCT04929262 ) on June 18, 2021. At the time of trial registration, pre/post-presentation data had been collected from 17 participants; thus, it was retrospectively registered.

Project description:BackgroundTobacco-related content on social media is generated and propagated by opinion leaders on the Web who disseminate messages to others in their network, including followers, who then continue to spread the information. Opinion leaders can exert powerful influences on their followers' knowledge, attitudes, and behaviors; yet, little is known about the demographic characteristics and tobacco use behavior of tobacco opinion leaders on the Web and their followers, compared with general Twitter users.ObjectiveIn this study, we hypothesized that opinion leaders use more tobacco products and have higher nicotine dependence than the other 2 groups (eg, followers and general Twitter users) and that followers-those who spread messages by opinion leaders-would more likely be in demographic groups that are vulnerable to tobacco marketing influence (eg, young adults and lower educational attainment).MethodsWe constructed the social networks of people who tweet about tobacco and categorized them using a combination of social network and Twitter metrics. To understand the characteristics of tobacco opinion leaders and their followers, we conducted a survey of tobacco opinion leaders, their followers, and general Twitter users. The sample included 347 opinion leaders, 567 followers, and 519 general users. The opinion leaders had a median of 1000 followers, whereas followers and general users had fewer than 600 followers.ResultsOpinion leaders were more likely than their followers to report past month use of tobacco products; followers, in turn, were more likely to report past month use of these products than general Twitter users. The followers appeared to be an especially vulnerable group; they tended to be younger (mean age 22.4 years) and have lower education compared with the opinion leaders and general users.ConclusionsFollowers of Twitter tobacco opinion leaders are a vulnerable group that might benefit from antitobacco education to counter the protobacco communications they see on social media.

Dataset Information

What attributes of patients affect their involvement in safety? A key opinion leaders' perspective.

Objective

Design

Setting

Participants

Outcome measures

Results

Conclusions

Publications

What attributes of patients affect their involvement in safety? A key opinion leaders' perspective.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets