| 1. |
- Josephson, C. B., et al.
(författare)
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Predicting postoperative epilepsy surgery satisfaction in adults using the 19-item Epilepsy Surgery Satisfaction Questionnaire and machine learning
- 2021
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Ingår i: Epilepsia. - : Wiley. - 0013-9580 .- 1528-1167. ; 62:9, s. 2103-2112
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Tidskriftsartikel (refereegranskat)abstract
- Objective: The 19-item Epilepsy Surgery Satisfaction Questionnaire (ESSQ-19) is a validated and reliable post hoc means of assessing patient satisfaction with epilepsy surgery. Prediction models building on these data can be used to counsel patients. Methods: The ESSQ-19 was derived and validated on 229 patients recruited from Canada and Sweden. We isolated 201 (88%) patients with complete clinical data for this analysis. These patients were adults (≥18years old) who underwent epilepsy surgery 1year or more prior to answering the questionnaire. We extracted each patient’s ESSQ-19 score (scale is 0–100; 100 represents complete satisfaction) and relevant clinical variables that were standardized prior to the analysis. We used machine learning (linear kernel support vector regression [SVR]) to predict satisfaction and assessed performance using the R2 calculated following threefold cross-validation. Model parameters were ranked to infer the importance of each clinical variable to overall satisfaction with epilepsy surgery. Results: Median age was 41 years (interquartile range [IQR] = 32–53), and 116 (57%) were female. Median ESSQ-19 global score was 68 (IQR = 59–75), and median time from surgery was 5.4years (IQR = 2.0–8.9). Linear kernel SVR performed well following threefold cross-validation, with an R2 of.44 (95% confidence interval =.36–.52). Increasing satisfaction was associated with postoperative self-perceived quality of life, seizure freedom, and reductions in antiseizure medications. Self-perceived epilepsy disability, age, and increasing frequency of seizures that impair awareness were associated with reduced satisfaction. Significance: Machine learning applied postoperatively to the ESSQ-19 can be used to predict surgical satisfaction. This algorithm, once externally validated, can be used in clinical settings by fixing immutable clinical characteristics and adjusting hypothesized postoperative variables, to counsel patients at an individual level on how satisfied they will be with differing surgical outcomes. © 2021 International League Against Epilepsy
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| 2. |
- Wahby, S., et al.
(författare)
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Validity and reliability of global ratings of satisfaction with epilepsy surgery
- 2022
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Ingår i: Epilepsia. - : Wiley. - 0013-9580 .- 1528-1167. ; 63:4, s. 777-788
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Tidskriftsartikel (refereegranskat)abstract
- Objective: We aimed to assess the reliability and validity of single-item global ratings (GR) of satisfaction with epilepsy surgery. Methods: We recruited 240 patients from four centers in Canada and Sweden who underwent epilepsy surgery ≥1year earlier. Participants completed a validated questionnaire on satisfaction with epilepsy surgery (the ESSQ-19), plus a single-item GR of satisfaction with epilepsy surgery twice, 4–6weeks apart. They also completed validated questionnaires on quality of life, depression, health state utilities, epilepsy severity and disability, medical treatment satisfaction and social desirability. Test-retest reliability of the GR was assessed with the intra-class correlation coefficient (ICC). Construct and criterion validity were examined with polyserial correlations between the GR measure of satisfaction and validated questionnaires and with the ESSQ-19summary score. Non-parametric rank tests evaluated levels of satisfaction, and ROC analysis assessed the ability of GRs to distinguish among clinically different patient groups. Results: Median age and time since surgery were 42years (IQR 32–54) and 5years (IQR 2–8), respectively. The GR demonstrated good to excellent test-retest reliability (ICC=0.76; 95% CI 0.67–0.84) and criterion validity (0.85; 95% CI 0.81–0.89), and moderate correlations in the expected direction with instruments assessing quality of life (0.59; 95% CI 0.51–0.63), health utilities (0.55; 95% CI 0.45–0.65), disability (−0.51; 95% CI −0.41, −0.61), depression (−0.48; 95% CI −0.38, −0.58), and epilepsy severity (−0.48; 95% CI −0.38, −0.58). As expected, correlations were lower for social desirability (0.40; 95% CI 0.28–0.52) and medical treatment satisfaction (0.33; 95% CI 0.21–0.45). The GR distinguished participants who were seizure-free (AUC 0.75; 95% CI 0.67–0.82), depressed (AUC 0.75; 95% CI 0.67–0.83), and self-rated as having more severe epilepsy (AUC 0.78; 95% CI 0.71–0.85) and being more disabled (AUC 0.82; 95% CI 0.74–0.90). Significance: The GR of epilepsy surgery satisfaction showed good measurement properties, distinguished among clinically different patient groups, and appears well-suited for use in clinical practice and research. © 2022 International League Against Epilepsy
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| 3. |
- Wiebe, S., et al.
(författare)
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Development and validation of the Epilepsy Satisfaction Questionnaire: ESSQ-19
- 2020
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Ingår i: Epilepsia. - : Wiley. - 0013-9580 .- 1528-1167. ; 61:12, s. 2729-2738
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Tidskriftsartikel (refereegranskat)abstract
- Objective No validated tools exist to assess satisfaction with epilepsy surgery. We aimed to develop and validate a new measure of patient satisfaction with epilepsy surgery, the 19-item Epilepsy Surgery Satisfaction Questionnaire (ESSQ-19). Methods An initial 31-item measure was developed based on literature review, patient focus groups, thematic analysis, and Delphi panels. The questionnaire was administered twice, 4-6 weeks apart, to 229 adults (>= 18 years old) who underwent epilepsy surgery >= 1 year earlier, at three centers in Canada and one in Sweden. Participants also completed seven validated questionnaires to assess construct validity. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) assessed the factorial structure of the questionnaire. Cronbach alpha and intraclass correlation coefficients (ICCs) assessed the internal consistency and test-retest reliability of the ESSQ-19. Spearman and polyserial correlations assessed construct validity. Results Median age of participants and time since surgery were 42 years (interquartile range [IQR] = 32-54) and 5 years (IQR = 2-8.75), respectively. EFA and CFA yielded 18 items that segregated into four domains (mean score [SD]), namely, seizure control (76.4 [25]), psychosocial functioning (67.3 [26]), surgical complications (84 [22]), and recovery from surgery (73 [24]), one global satisfaction item, and a summary global score (74 [21]). The domain and summary scores demonstrated good to excellent internal reliability (Cronbach range = .84-.95) and test-retest reliability (ICC range = 0.71-0.85). Construct validity was supported by predicted correlations with other instruments. Significance The ESSQ-19 is a new, valid, and reliable measure of patient satisfaction with epilepsy surgery that can be used in clinical and research settings.
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| 4. |
- Apostolopoulou, E., et al.
(författare)
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Radical social innovations and the spatialities of grassroots activism: navigating pathways for tackling inequality and reinventing the commons
- 2022
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Ingår i: Journal of Political Ecology. - 1073-0451. ; 29, s. 143-188
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Tidskriftsartikel (refereegranskat)abstract
- In this article, by drawing on empirical evidence from twelve case studies from nine countries from across the Global South and North, we ask how radical grassroots social innovations that are part of social movements and struggles can offer pathways for tackling socio-spatial and socio-environmental inequality and for reinventing the commons. We define radical grassroots social innovations as a set of practices initiated by formal or informal community-led initiatives or/and social movements which aim to generate novel, democratic, socially, spatially and environmentally just solutions to address social needs that are otherwise ignored or marginalised To address our research questions, we draw on the work of Cindi Katz to explore how grassroots innovations relate to practices of resilience, reworking and resistance. We identify possibilities and limitations as well as patterns of spatial practices and pathways of re-scaling and radical praxis, uncovering broadly-shared resemblances across different places. Through this analysis we aim to make a twofold contribution to political ecology and human geography scholarship on grassroots radical activism, social innovation and the spatialities of resistance. First, to reveal the connections between social-environmental struggles, emerging grassroots innovations and broader structural factors that cause, enable or limit them. Second, to explore how grassroots radical innovations stemming from place-based community struggles can relate to resistance practices that would not only successfully oppose inequality and the withering of the commons in the short-term, but would also open long-term pathways to alternative modes of social organization, and a new commons, based on social needs and social rights that are currently unaddressed.
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| 5. |
- Garciá-Carmona, L., et al.
(författare)
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Biohybrid systems for environmental intelligence on living plants : WatchPlant project
- 2021
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Ingår i: GoodIT 2021 - Proceedings of the 2021 Conference on Information Technology for Social Good. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 210-215
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Konferensbidrag (refereegranskat)abstract
- New challenges such as climate change and sustainability arise in society influencing not only environmental issues but human's health directly. To face these new challenges IT technologies and their application to environmental intelligent monitoring become into a powerful tool to set new policies and blueprints to contribute to social good. In the new H2020 project, WatchPlant will provide new tools for environmental intelligence monitoring by the use of plants as "well-being"sensors of the environment they inhabit. This will be possible by equipping plants with a net of communicated wireless self-powered sensors, coupled with artificial intelligence (AI) to become plants into "biohybrid organisms"to test exposure-effects links between plant and the environment. It will become plants into a new tool to be aware of the environment status in a very early stage towards in-situ monitoring. Additionally, the system is devoted to be sustainable and energy-efficient thanks to the use of clean energy sources such as solar cells and a enzymatic biofuel cell (BFC) together with its self-deployment, self-awareness, adaptation, artificial evolution and the AI capabilities. In this concept paper, WatchPlant will envision how to face this challenge by joining interdisciplinary efforts to access the plant sap for energy harvesting and sensing purposes and become plants into "biohybrid organisms"to benefit social good in terms of environmental monitoring in urban scenarios.
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