Astrid Austvoll-Dahlgren

Background The Claim Evaluation Tools database contains multiple-choice items for measuring people’s ability to apply the key concepts they need to know to be able to assess treatment claims. We assessed items from the database using Rasch analysis to develop an outcome measure to be used in two randomised trials in Uganda. Rasch analysis is a form of psychometric testing relying on Item Response Theory. It is a dynamic way of developing outcome measures that are valid and reliable. Objectives To assess the validity, reliability and responsiveness of 88 items addressing 22 key concepts using Rasch analysis. Participants We administrated four sets of multiple-choice items in English to 1114 people in Uganda and Norway, of which 685 were children and 429 were adults (including 171 health professionals). We scored all items dichotomously. We explored summary and individual fit statistics using the RUMM2030 analysis package. We used SPSS to perform distractor analysis. Results Most items conformed well to the Rasch model, but some items needed revision. Overall, the four item sets had satisfactory reliability. We did not identify significant response dependence between any pairs of items and, overall, the magnitude of multidimensionality in the data was acceptable. The items had a high level of difficulty. Conclusion Most of the items conformed well to the Rasch model’s expectations. Following revision of some items, we concluded that most of the items were suitable for use in an outcome measure for evaluating the ability of children or adults to assess treatment claims.

The ability to appraise claims about the benefits and harms of treatments is crucial for informed health care decision-making. This research aims to enable children in East African primary schools (the clusters) to acquire and retain skills that can help them make informed health care choices by improving their ability to obtain, process and understand health information. The trial will evaluate (at the individual participant level) whether specially designed learning resources can teach children some of the key concepts relevant to appraising claims about the benefits and harms of health care interventions (treatments). This is a two-arm, cluster-randomised trial with stratified random allocation. We will recruit 120 primary schools (the clusters) between April and May 2016 in the central region of Uganda. We will stratify participating schools by geographical setting (rural, semi-urban, or urban) and ownership (public or private). The Informed Healthcare Choices (IHC) primary school resources consist of a textbook and a teachers’ guide. Each of the students in the intervention arm will receive a textbook and attend nine lessons delivered by their teachers during a school term, with each lesson lasting 80 min. The lessons cover 12 key concepts that are relevant to assessing claims about treatments and making informed health care choices. The second arm will carry on with the current primary school curriculum. We have designed the Claim Evaluation Tools to measure people’s ability to apply key concepts related to assessing claims about the effects of treatments and making informed health care choices. The Claim Evaluation Tools use multiple choice questions addressing each of the 12 concepts covered by the IHC school resources. Using the Claim Evaluation Tools we will measure two primary outcomes: (1) the proportion of children who ‘pass’, based on an absolute standard and (2) their average scores. As far as we are aware this is the first randomised trial to assess whether key concepts needed to judge claims about the effects of treatment can be taught to primary school children. Whatever the results, they will be relevant to learning how to promote critical thinking about treatment claims. Trial status: the recruitment of study participants was ongoing at the time of manuscript submission. Pan African Clinical Trial Registry, trial identifier: PACTR201606001679337 . Registered on 13 June 2016.

Objectives: To describe the development of the Claim Evaluation Tools, a set of flexible items to measure people's ability to assess claims about treatment effects. Setting: Methodologists and members of the community (including children) in Uganda, Rwanda, Kenya, Norway, the UK and Australia. Participants: In the iterative development of the items, we used purposeful sampling of people with training in research methodology, such as teachers of evidence-based medicine, as well as patients and members of the public from low-income and high-income countries. Development consisted of 4 processes: (1) determining the scope of the Claim Evaluation Tools and development of items; (2) expert item review and feedback (n=63); (3) cognitive interviews with children and adult end-users (n=109); and (4) piloting and administrative tests (n=956). Results: The Claim Evaluation Tools database currently includes a battery of multiple-choice items. Each item begins with a scenario which is intended to be relevant across contexts, and which can be used for children (from age 10 and above), adult members of the public and health professionals. People with expertise in research methods judged the items to have face validity, and end-users judged them relevant and acceptable in their settings. In response to feedback from methodologists and end-users, we simplified some text, explained terms where needed, and redesigned formats and instructions. Conclusions: The Claim Evaluation Tools database is a flexible resource from which researchers, teachers and others can design measurement instruments to meet their own requirements. These evaluation tools are being managed and made freely available for non-commercial use (on request) through Testing Treatments interactive ( testingtreatments.org ). Trial registration numbers: PACTR201606001679337 and PACTR201606001676150 ; Pre-results.

Originalartikkel - Det er en sammenheng mellom pasientvolum og behandlingskvalitet, antar man – kompliserte prosedyrer, for eksempel karkirurgiske, gjøres best av dem som gjør dem ofte (1).

Claims made about the effects of treatments are very common in the media and in the population more generally. The ability of individuals to understand and assess such claims can affect their decisions and health outcomes. Many people in both low- and high-income countries have inadequate aptitude to assess information about the effects of treatments. As part of the Informed Healthcare Choices project, we have prepared a series of podcast episodes to help improve people’s ability to assess claims made about treatment effects. We will evaluate the effect of the Informed Healthcare Choices podcast on people’s ability to assess claims made about the benefits and harms of treatments. Our study population will be parents of primary school children in schools with limited educational and financial resources in Uganda. This will be a two-arm, parallel-group, individual-randomised trial. We will randomly allocate consenting participants who meet the inclusion criteria for the trial to either listen to nine episodes of the Informed Healthcare Choices podcast (intervention) or to listen to nine typical public service announcements about health issues (control). Each podcast includes a story about a treatment claim, a message about one key concept that we believe is important for people to be able to understand to assess treatment claims, an explanation of how that concept applies to the claim, and a second example illustrating the concept. We designed the Claim Evaluation Tools to measure people’s ability to apply key concepts related to assessing claims made about the effects of treatments and making informed health care choices. The Claim Evaluation Tools that we will use include multiple-choice questions addressing each of the nine concepts covered by the podcast. Using the Claim Evaluation Tools, we will measure two primary outcomes: (1) the proportion that ‘pass’, based on an absolute standard and (2) the average score. As far as we are aware this is the first randomised trial to assess the use of mass media to promote understanding of the key concepts needed to judge claims made about the effects of treatments. Pan African Clinical Trials Registry, PACTR201606001676150. Registered on 12 June 2016. http://www.pactr.org/ATMWeb/appmanager/atm/atmregistry?dar=true&tNo=PACTR201606001676150 .

People’s ability to appraise claims about treatment effects is crucial for informed decision-making. Our objective was to systematically map this area of research in order to (a) provide an overview of interventions targeting key concepts that people need to understand to assess treatment claims and (b) to identify assessment tools used to evaluate people’s understanding of these concepts. The findings of this review provide a starting point for decisions about which key concepts to address when developing new interventions, and which assessment tools should be considered. We conducted a systematic mapping review of interventions and assessment tools addressing key concepts important for people to be able to assess treatment claims. A systematic literature search was done by a reserach librarian in relevant databases. Judgement about inclusion of studies and data collection was done by at least two researchers. We included all quantitative study designs targeting one or more of the key concepts, and targeting patients, healthy members of the public, and health professionals. The studies were divided into four categories: risk communication and decision aids, evidence-based medicine and critical appraisal, understanding of controlled trials, and science education. Findings were summarised descriptively. We included 415 studies, of which the interventions and assessment tools we identified included only a handful of the key concepts. The most common key concepts in interventions were “Treatments usually have beneficial and harmful effects,” “Treatment comparisons should be fair,” “Compare like with like,” and “Single studies can be misleading.” A variety of assessment tools were identified, but only four assessment tools included 10 or more key concepts. There is great potential for developing learning and assessment tools targeting key concepts that people need to understand to assess claims about treatment effects. There is currently no instrument covering assessment of all these key concepts.