Browsing by Author "Sluman, Maayke A"

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    Healthcare system inputs and patient-reported outcomes: a study in adults with congenital heart defect from 15 countries
    (2020-06-03) Van Bulck, Liesbet; Goossens, Eva; Luyckx, Koen; Apers, Silke; Oechslin, Erwin; Thomet, Corina; Budts, Werner; Enomoto, Junko; Sluman, Maayke A; Lu, Chun-Wei; Jackson, Jamie L; Khairy, Paul; Cook, Stephen C; Chidambarathanu, Shanthi; Alday, Luis; Eriksen, Katrine; Dellborg, Mikael; Berghammer, Malin; Johansson, Bengt; Mackie, Andrew S; Menahem, Samuel; Caruana, Maryanne; Veldtman, Gruschen; Soufi, Alexandra; Fernandes, Susan M; White, Kamila; Callus, Edward; Kutty, Shelby; Moons, Philip
    Background The relationship between healthcare system inputs (e.g., human resources and infrastructure) and mortality has been extensively studied. However, the association between healthcare system inputs and patient-reported outcomes remains unclear. Hence, we explored the predictive value of human resources and infrastructures of the countries’ healthcare system on patient-reported outcomes in adults with congenital heart disease. Methods This cross-sectional study included 3588 patients with congenital heart disease (median age = 31y; IQR = 16.0; 52% women; 26% simple, 49% moderate, and 25% complex defects) from 15 countries. The following patient-reported outcomes were measured: perceived physical and mental health, psychological distress, health behaviors, and quality of life. The assessed inputs of the healthcare system were: (i) human resources (i.e., density of physicians and nurses, both per 1000 people) and (ii) infrastructure (i.e., density of hospital beds per 10,000 people). Univariable, multivariable, and sensitivity analyses using general linear mixed models were conducted, adjusting for patient-specific variables and unmeasured country differences. Results Sensitivity analyses showed that higher density of physicians was significantly associated with better self-reported physical and mental health, less psychological distress, and better quality of life. A greater number of nurses was significantly associated with better self-reported physical health, less psychological distress, and less risky health behavior. No associations between a higher density of hospital beds and patient-reported outcomes were observed. Conclusions This explorative study suggests that density of human resources for health, measured on country level, are associated with patient-reported outcomes in adults with congenital heart disease. More research needs to be conducted before firm conclusions about the relationships observed can be drawn. Trial registration ClinicalTrials.gov: NCT02150603. Registered 30 May 2014,
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    Phenotypes of adults with congenital heart disease around the globe: a cluster analysis
    (2021-02-10) Callus, Edward; Pagliuca, Silvana; Boveri, Sara; Ambrogi, Federico; Luyckx, Koen; Kovacs, Adrienne H; Apers, Silke; Budts, Werner; Enomoto, Junko; Sluman, Maayke A; Wang, Jou-Kou; Jackson, Jamie L; Khairy, Paul; Cook, Stephen C; Chidambarathanu, Shanthi; Alday, Luis; Eriksen, Katrine; Dellborg, Mikael; Berghammer, Malin; Johansson, Bengt; Mackie, Andrew S; Menahem, Samuel; Caruana, Maryanne; Veldtman, Gruschen; Soufi, Alexandra; Fernandes, Susan M; White, Kamila; Kutty, Shelby; Moons, Philip
    Objective To derive cluster analysis-based groupings for adults with congenital heart disease (ACHD) when it comes to perceived health, psychological functioning, health behaviours and quality of life (QoL). Methods This study was part of a larger worldwide multicentre study called APPROACH-IS; a cross sectional study which recruited 4028 patients (2013–2015) from 15 participating countries. A hierarchical cluster analysis was performed using Ward's method in order to group patients with similar psychological characteristics, which were defined by taking into consideration the scores of the following tests: Sense Of Coherence, Health Behavior Scale (physical exercise score), Hospital Anxiety Depression Scale, Illness Perception Questionnaire, Satisfaction with Life Scale and the Visual Analogue Scale scores of the EQ-5D perceived health scale and a linear analogue scale (0–100) measuring QoL. Results 3768 patients with complete data were divided into 3 clusters. The first and second clusters represented 89.6% of patients in the analysis who reported a good health perception, QoL, psychological functioning and the greatest amount of exercise. Patients in the third cluster reported substantially lower scores in all PROs. This cluster was characterised by a significantly higher proportion of females, a higher average age the lowest education level, more complex forms of congenital heart disease and more medical comorbidities. Conclusions This study suggests that certain demographic and clinical characteristics may be linked to less favourable health perception, quality of life, psychological functioning, and health behaviours in ACHD. This information may be used to improve psychosocial screening and the timely provision of psychosocial care.