Background: The modified painDETECT questionnaire (PDQ) is a self-reported questionnaire to discriminatebetween nociceptive and neuropathic-like pain in patients with knee/hip osteoarthritis (OA). This studyaims to assess the structural and construct validity of this questionnaire.Methods: Confirmatory factor analysis and hypothesis-testing was used. For 168 patients, predefinedhypotheses were formulated on the correlation between the modified painDETECT and several otherquestionnaires, and in a subsample of 46 with pain pressure thresholds (PPTs).Results: Two principal components were confirmed. The pain pattern item did not load on any component.Eighty per cent of the hypotheses on the correlation between modified PDQ and the questionnaireswere met, as were 50% concerning PPTs measurements.Conclusions: This study is the first to assess structural and construct validity of the modified PDQ knee/hip by using factor analysis and hypothesis-testing. This questionnaire seems to reflect neuropathic-like pain symptoms experienced by hip/knee OA-patients with adequate validity. The item on pain patternmight not reflect the construct. More than 75% of the predefined hypotheses regarding the modified PDQ and the other questionnaires were met. Only 50% of the hypotheses on PPTs measurements were met, probably due to heterogeneity and limited size of this subsample.
New online stores and digital distribution methods have led to the development of alternative monetization models for video-games, such as free-to-play games with advertisements. Although there are many games using such models, until now the effect on the player experience from such interruptions has not been studied. In this controlled experiment, we requested that participants (N=236) play one of three different versions of a platformer game with: 1) no interruptions, 2) 30-second video advertisements, and 3) a multiple-choice questionnaire. We then evaluated the effects on the player experience. The study shows differences in their experiences, namely in: competence, immersion, annoyance, affects, and the reliability of the questionnaire answers. The contribution of this work is to identify which player experience variables are affected by interruptions, which can be valuable for selecting the business model and guiding the game design process.
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Background. The Treatment Beliefs Questionnaire has been developed to measure patients’ beliefs of necessity of and concerns about rehabilitation. Preliminary evidence suggests that these beliefs may be associated with attendance of rehabilitation. The aim of this study was to translate and adapt the Treatment Beliefs Questionnaire for interdisciplinary pain rehabilitation and to examine the measurement properties of the Dutch translation including the predictive validity for dropout. Methods. The questionnaire was translated in 4 steps: forward translation from English into Dutch, achieving consensus, back translation into English, and pretesting on providers and patients. In order to establish structural validity, internal consistency, construct validity, and predictive validity of the questionnaire, 188 participants referred to a rehabilitation centre for outpatient interdisciplinary pain rehabilitation completed the questionnaire at the baseline. Dropout was measured as the number of patients starting, but not completing the programme. For reproducibility, 51 participants were recruited at another rehabilitation centre to complete the questionnaire at the baseline and one week later. Results. We confirmed the structural validity of the Treatment beliefs Questionnaire in the Dutch translation with three subscales, necessity, concerns, and perceived barriers. internal consistency was acceptable with ordinal alphas ranging from 0.66–0.87. Reproducibility was acceptable with ICC2,1 agreement ranging from 0.67–0.81. Hypotheses testing confirmed construct validity, similar to the original questionnaire. Predictive validity showed the questionnaire was unable to predict dropouts. Conclusion. Cross-cultural translation was successfully completed, and the Dutch Treatment Beliefs Questionnaire demonstrates similar psychometric properties as the original English version.
Due to their diverse funding sources, theatres are under increasing pressure to demonstrate impact on society. The Raad voor Cultuur (2023) for example advised the secretary of state to include societal impact as an additional evaluation measure next to artistic value. Many theaters, such as the Chassé Theater and Parkstad Limburg Theaters, have reformulated their missions to focus on impact of performances on visitors. This is a profound transformation from merely selling tickets and filling seats, and requires new measurement instruments to monitor, manage, and improve impact. Currently available instruments are insufficient, and effective monitoring is crucial to larger future projects that theaters are currently planning to systematically broaden impacts of performances on their communities. The specific goal of this project is to empower theaters to monitor and improve impact by developing a brief experience impact questionnaire, taking existing data from student projects conducted at the Chassé Theater about performing arts experiences on one hand, and experience impact theory innovations on the other, as starting points. We will develop potential items to measure and benchmark against established measures of valued societal outcomes, such as subjective well-being and quality of life. These will be measured in questionnaires developed with project partners Chassé Theater and Parkstad Limburg Theaters and administered before and after performances across a wide range of genres. The resulting data will enable comparison of new questionnaire items with benchmarked measures of valued societal outcomes. The final product of the project will be a brief impact questionnaire, which within several brief self-report instruments and just a few minutes can effectively be used to quantify the impact of a performing arts experience. A workshop and practice-oriented article will make this questionnaire implementable, thereby mobilizing the key enabling methodology of monitoring and impact measurement in the performing arts sector.
Due to their diverse funding sources, theatres are under increasing pressure to demonstrate impact on society. The Raad voor Cultuur (2023) for example advised the secretary of state to include societal impact as an additional evaluation measure next to artistic value. Many theaters, such as the Chassé Theater and Parkstad Limburg Theaters, have reformulated their missions to focus on impact of performances on visitors. This is a profound transformation from merely selling tickets and filling seats, and requires new measurement instruments to monitor, manage, and improve impact. Currently available instruments are insufficient, and effective monitoring is crucial to larger future projects that theaters are currently planning to systematically broaden impacts of performances on their communities.The specific goal of this project is to empower theaters to monitor and improve impact by developing a brief experience impact questionnaire, taking existing data from student projects conducted at the Chassé Theater about performing arts experiences on one hand, and experience impact theory innovations on the other, as starting points. We will develop potential items to measure and benchmark against established measures of valued societal outcomes, such as subjective well-being and quality of life. These will be measured in questionnaires developed with project partners Chassé Theater and Parkstad Limburg Theaters and administered before and after performances across a wide range of genres. The resulting data will enable comparison of new questionnaire items with benchmarked measures of valued societal outcomes. The final product of the project will be a brief impact questionnaire, which within several brief self-report instruments and just a few minutes can effectively be used to quantify the impact of a performing arts experience. A workshop and practice-oriented article will make this questionnaire implementable, thereby mobilizing the key enabling methodology of monitoring and impact measurement in the performing arts sector.Societal issueThe specific goal of this project is to empower theaters to monitor and improve impact by developing a brief experience impact questionnaire, taking existing data about performing arts experiences on one hand, and experience impact theory innovations on the other, as starting points. Benefit to societyWe will develop potential items to measure and benchmark against established measures of valued societal outcomes, such as subjective well-being and quality of life. Collaborative partnersChassé Theater N.V., Parkstad Limburg Theaters N.V.
Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.
