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Featured researches published by Daniel Semakula.


Journal of Evidence-based Medicine | 2015

Key concepts that people need to understand to assess claims about treatment effects.

Astrid Austvoll-Dahlgren; Andrew D Oxman; Iain Chalmers; Allen Nsangi; Claire Glenton; Simon Lewin; Angela Morelli; Sarah Rosenbaum; Daniel Semakula; Nelson Sewankambo

People are confronted with claims about the effects of treatments and health policies daily. Our objective was to develop a list of concepts that may be important for people to understand when assessing claims about treatment effects.


BMJ Open | 2017

Measuring ability to assess claims about treatment effects: the development of the ‘Claim Evaluation Tools’

Astrid Austvoll-Dahlgren; Daniel Semakula; Allen Nsangi; Andrew D Oxman; Iain Chalmers; Sarah Rosenbaum; Øystein Guttersrud

Objectives To describe the development of the Claim Evaluation Tools, a set of flexible items to measure peoples 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.


BMJ Open | 2017

Measuring ability to assess claims about treatment effects: a latent trait analysis of items from the 'Claim Evaluation Tools' database using Rasch modelling

Astrid Austvoll-Dahlgren; Øystein Guttersrud; Allen Nsangi; Daniel Semakula; Andrew D Oxman

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.


Journal of Evidence-based Medicine | 2015

Priority setting for resources to improve the understanding of information about claims of treatment effects in the mass media

Daniel Semakula; Allen Nsangi; Andrew D Oxman; Nelson Sewankambo

Claims about benefits and harms of treatments are common in the media. We engaged health journalists in prioritizing concepts of evidence‐based medicine that we believe the public needs to understand to be able to assess claims about treatment effects; and which could improve how journalists report such information.


Evidence-based Medicine | 2018

Key Concepts for Informed Health Choices: a framework for helping people learn how to assess treatment claims and make informed choices

Iain Chalmers; Andrew D Oxman; Astrid Austvoll-Dahlgren; Selena Ryan-Vig; Sarah Pannell; Nelson Sewankambo; Daniel Semakula; Allen Nsangi; Loai Albarqouni; Paul Glasziou; Kamal R Mahtani; David Nunan; Carl Heneghan; Douglas Badenoch

Many claims about the effects of treatments, though well intentioned, are wrong. Indeed, they are sometimes deliberately misleading to serve interests other than the well-being of patients and the public. People need to know how to spot unreliable treatment claims so that they can protect themselves and others from harm. The ability to assess the trustworthiness of treatment claims is often lacking. Acquiring this ability depends on being familiar with, and correctly applying, some key concepts, for example, that’ association is not the same as causation.’ The Informed Health Choices (IHC) Project has identified 36 such concepts and shown that people can be taught to use them in decision making. A randomised trial in Uganda, for example, showed that primary school children with poor reading skills could be taught to apply 12 of the IHC Key Concepts. The list of IHC Key Concepts has proven to be effective in providing a framework for developing and evaluating IHC resources to help children to think critically about treatment claims. The list also provides a framework for retrieving, coding and organising other teaching and learning materials for learners of any age. It should help teachers, researchers, clinicians, and patients to structure critical thinking about the trustworthiness of claims about treatment effects.


Trials | 2017

Can an educational podcast improve the ability of parents of primary school children to assess the reliability of claims made about the benefits and harms of treatments: study protocol for a randomised controlled trial

Daniel Semakula; Allen Nsangi; Matthew Prescott Oxman; Astrid Austvoll-Dahlgren; Sarah Rosenbaum; Margaret Kaseje; Laetitia Nyirazinyoye; Atle Fretheim; Iain Chalmers; Andrew D Oxman; Nelson Sewankambo

BackgroundClaims 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.MethodsThis 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.DiscussionAs 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.Trial registrationPan African Clinical Trials Registry, PACTR201606001676150. Registered on 12 June 2016. http://www.pactr.org/ATMWeb/appmanager/atm/atmregistry?dar=true&tNo=PACTR201606001676150.


Journal of Evidence-based Medicine | 2015

Teaching children in low-income countries to assess claims about treatment effects: prioritization of key concepts

Allen Nsangi; Daniel Semakula; Andrew D Oxman; Nelson Sewankambo

Health‐related knowledge and behaviours developed during childhood are increasingly being recognized as foundational, deeply rooted and resistant to change as children mature into adulthood. The aim of this study was to engage stakeholders in prioritizing key concepts that children need to understand when assessing claims about treatment effects.


Systematic Reviews | 2016

Interventions and assessment tools addressing key concepts people need to know to appraise claims about treatment effects: a systematic mapping review

Astrid Austvoll-Dahlgren; Allen Nsangi; Daniel Semakula


The Lancet | 2017

Effects of the Informed Health Choices primary school intervention on the ability of children in Uganda to assess the reliability of claims about treatment effects: a cluster-randomised controlled trial

Allen Nsangi; Daniel Semakula; Andrew D Oxman; Astrid Austvoll-Dahlgren; Matthew Prescott Oxman; Sarah Rosenbaum; Angela Morelli; Claire Glenton; Simon Lewin; Margaret Kaseje; Iain Chalmers; Atle Fretheim; Yunpeng Ding; Nelson Sewankambo


The Lancet | 2017

Effects of the Informed Health Choices podcast on the ability of parents of primary school children in Uganda to assess claims about treatment effects: a randomised controlled trial

Daniel Semakula; Allen Nsangi; Andrew D Oxman; Matthew Prescott Oxman; Astrid Austvoll-Dahlgren; Sarah Rosenbaum; Angela Morelli; Claire Glenton; Simon Lewin; Margaret Kaseje; Iain Chalmers; Atle Fretheim; Doris Tove Kristoffersen; Nelson Sewankambo

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Andrew D Oxman

Norwegian Institute of Public Health

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Astrid Austvoll-Dahlgren

Norwegian Institute of Public Health

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Sarah Rosenbaum

Norwegian Institute of Public Health

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Atle Fretheim

Norwegian Institute of Public Health

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Matthew Prescott Oxman

Norwegian Institute of Public Health

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Angela Morelli

Norwegian Institute of Public Health

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Claire Glenton

Norwegian Institute of Public Health

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