19 research outputs found
Handleiding kwaliteitsverbetering ziekenhuiszorg vanuit de ervaring van patienten
__Abstract__
De laatste jaren is er een toenemende belangstelling voor patiëntervaringen in de Nederlandse gezondheidszorg en patiëntenparticipatie
wordt veelvuldig in de praktijk gebracht. Het idee is dat de ervaringen van patiënten unieke informatie
opleveren over de kwaliteit van zorg. Ervaringsverhalen maken duidelijk dat patiënten de zorg vaak anders ervaren dan
professionals denken en dat deze ervaringen een belangrijke bijdrage kunnen leveren aan kwaliteitsverbetering. Zorgverleners
kijken vanuit hun eigen perspectief naar de zorg en hebben zich bepaalde gewoonten aangemeten die ze niet meer
ter discussie stellen, terwijl een patiënt hen kan wijzen op de positi
Recommended from our members
How can I thank you? Highlighting the benefactorâs responsiveness or costs when expressing gratitude
Despite growing evidence that showing gratitude plays a powerful role in building social connections, little is known about how to best express gratitude to maximize its relational benefits. In this research, we examined how two key ways of expressing gratitudeâconveying that the benefactorâs kind action met oneâs needs (responsiveness-highlighting) and acknowledging how costly the action was (cost-highlighting)âimpact benefactorsâ reactions to the gratitude and feelings about their relationship. Using observer ratings of gratitude expressions during couplesâ live interactions (N = 111 couples), and benefactorsâ self-reports across a 14-day experience sampling study (N = 463 daily reports), we found that responsiveness-highlighting was associated with benefactorsâ positive feelings about the gratitude expression and the relationship. In contrast, cost-highlighting had no such effect. These findings suggest that expressing gratitude in a way that highlights how responsive benefactors were may be critical to reaping the relational benefits of gratitude and have practical implications for improving couplesâ well-being
Shared decision making in cancer treatment: a Dutch national survey on patients' preferences and perceptions
Objective: Shared decision making (SDM) for cancer treatment yields positive results. However, it appears that discussing essential topics for SDM is not fully integrated into treatment decision making yet. Therefore, we aim to explore to what extent discussion of therapy options, treatment consequences, and personal priorities is preferred and perceived by (former) cancer patients.Methods: An online questionnaire was distributed by the Dutch Federation of Cancer Patient Organisations among (former) cancer patients in 2018.Results: Among 3785 (former) cancer patients, 3254 patients (86%) had discussed treatments with their health care provider (HCP) and were included for analysis. Mean age was 62.1 +/- 11.5; 55% were female. Discussing the option to choose no (further) treatment was rated by 2751 (84.5%) as very important (median score 9/10-IQR 8-10). Its occurrence was perceived by 28% (N = 899), and short- and long-term treatment consequences were discussed in 81% (N = 2626) and 53% (N = 1727), respectively. An unmet wish to discuss short- and long-term consequences was reported by 22% and 26%, respectively. Less than half of the (former) cancer patients perceived that personal priorities (44%) and future plans (34%) were discussed.Conclusion: In the perception of (former) cancer patients, several essential elements for effective SDM are insufficiently discussed during cancer treatment decision making.Analysis and support of clinical decision makin
Effects of structured involvement of the primary care team versus standard care after a cancer diagnosis on patient satisfaction and healthcare use: the GRIP randomised controlled trial
Background: The growing number of cancer survivors and treatment possibilities call for more personalised and integrated cancer care. Primary care seems well positioned to support this. We aimed to assess the effects of structured follow-up of a primary care team after a cancer diagnosis. Methods: We performed a multicentre randomised controlled trial enrolling patients curatively treated for breast, lung, colorectal, gynaecologic cancer or melanoma. In addition to usual cancer care in the control group, patients randomized to intervention were offered a âTime Out consultationâ (TOC) with the general practitioner (GP) after diagnosis, and subsequent follow-up during and after treatment by a home care oncology nurse (HON). Primary outcomes were patient satisfaction with care (questionnaire: EORTC-INPATSAT-32) and healthcare utilisation. Intention-to-treat linear mixed regression analyses were used for satisfaction with care and other continuous outcome variables. The difference in healthcare utilisation for categorical data was calculated with a Pearson Chi-Square or a Fisher exact test and count data (none versus any) with a log-binomial regression. Results: We included 154 patients (control n = 77, intervention n = 77) who were mostly female (75%), mainly diagnosed with breast cancer (51%), and had a mean age of 61 (SD ± 11.9) years. 81% of the intervention patients had a TOC and 68% had HON contact. Satisfaction with care was high (8 out of 10) in both study groups. At 3 months after treatment, GP satisfaction was significantly lower in the intervention group on 3 of 6 subscales, i.e., quality (â 14.2 (95%CI -27.0;-1.3)), availability (â 15,9 (â 29.1;-2.6)) and information provision (â 15.2 (â 29.1;-1.4)). Patients in the intervention group visited the GP practice and the emergency department more often ((RR 1.3 (1.0;1.7) and 1.70 (1.0;2.8)), respectively). Conclusions: In conclusion, the GRIP intervention, which was designed to involve the primary care team during and after cancer treatment, increased the number of primary healthcare contacts. However, it did not improve patient satisfaction with care and it increased emergency department visits. As the high uptake of the intervention suggests a need of patients, future research should focus on optimizing the design and implementation of the intervention. Trial registration: GRIP is retrospectively (21/06/2016) registered in the âNetherlands Trial Registerâ (NTR5909)
Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies
Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partnerâs ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a personâs own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships
Effects of a time out consultation with the general practitioner on cancer treatment decision-making: a randomised controlled trial: Time out with the general practitioner and cancer treatment decision
Objective: Improving shared decision-making (SDM) enables more tailored cancer treatment decisions. We evaluated a Time Out consultation (TOC) with the general practitioner (GP), between cancer diagnosis and treatment decision, which aims at supporting SDM and improving continuity of primary care. This study aims to evaluate the effects of a TOC on perceived SDM, information provision and self-efficacy. Methods: This randomised controlled trial included newly diagnosed patients with curable cancer (breast, lung, colorectal, gynaecologic and melanoma) from four Dutch hospitals. Primary outcome is perceived SDM and secondary outcomes are information provision and self-efficacy. Results: One hundred fifty-four patients (control n = 77, intervention n = 77) â female: 75%, mean age: 61 (SD ± 11.9). In the intervention group, 80.5% (n = 62) had a TOC, of which 82.3% (n = 51) took place after treatment decision. Perceived SDM was lower in the intervention group (â8.9 [95% CI: 0.6â17.1]). Among those with a TOC before treatment decision (n = 11), perceived SDM was comparable to the control group (66.5 ± 27.2 vs. 67.9 ± 26.1). Conclusion: Even though patients are motivated to have a TOC, implementing a TOC between diagnosis and treatment decision is challenging. Effects of a timely TOC could not be established. Non-timely TOC decreased perceived SDM. Planning of the TOC should be optimised, and future research should establish if adequately timed TOC results in improved SDM in cancer patients
The âIâ in us, or the eye on us? Regulatory focus, commitment and derogation of an attractive alternative person
When individuals are highly committed to their romantic relationship, they are more likely to engage in pro-relationship maintenance mechanisms. The present research expanded on the notion that commitment redirects self-oriented goals to consider broader relational goals and examined whether commitment interacts with a promotion and prevention focus to activate derogation of attractive alternatives. Three studies used cross-sectional and experimental approaches. Study 1 showed that romantically involved individuals predominantly focused on promotion, but not prevention, reported less initial attraction to an attractive target than single individuals, especially when highly committed to their relationship. Study 2 showed that romantically involved individuals induced in a promotion focus, compared to those in prevention focus, reported less initial attraction, but only when more committed to their relationship. Regardless of regulatory focus manipulation, more committed individuals were also less likely to perceive quality among alternative scenarios and to be attentive to alternative others in general. Finally, Study 3 showed that romantically involved individuals induced in promotion focus and primed with high commitment reported less initial attraction, than those primed with low commitment, or than those induced in prevention focus. Once again, for these latter no differences occurred according to commitment prime. Together, the findings suggest that highly committed promotion focused individuals consider broader relationship goals and activate relationship maintenance behaviors such as derogation of attractive alternatives to promote their relationship
The Secrets of Happy Couples: Lessons from Psychology (2022 ESRC Festival of Social Science)
These talks were presented as part of the 2022 ESRC Festival of Social Science online event "The Secrets of Happy Couples: Lessons from Psychology." The speakers were Dr Sarah Stanton (University of Edinburgh), Dr Emily Cross (University of Essex), and Dr Mariko Visserman (University of Sussex). The moderator was Taranah Gazder (University of Edinburgh)
sj-docx-1-spp-10.1177_19485506221137958 â Supplemental material for Understanding the Links Between Perceiving Gratitude and Romantic Relationship Satisfaction Using an Accuracy and Bias Framework
Supplemental material, sj-docx-1-spp-10.1177_19485506221137958 for Understanding the Links Between Perceiving Gratitude and Romantic Relationship Satisfaction Using an Accuracy and Bias Framework by Hasagani Tissera, Mariko L. Visserman, Emily A. Impett, Amy Muise and John E. Lydon in Social Psychological and Personality Science</p
Cigarette smoke extract affects functional activity of MRP1 in bronchial epithelial cells
Cigarette smoke is the principal risk factor for development of chronic obstructive pulmonary disease (COPD). Multidrug resistance-associated protein 1 (MRP1) is a member of the ATP-binding cassette (ABC) superfamily of transporters, which transport physiologic and toxic substrates across cell membranes. MRP1 is highly expressed in lung epithelium. This study aims to analyze the effect of cigarette smoke extract (CSE) on MRP1 activity. In the human bronchial epithelial cell line 16HBE14o(-), MRP1 function was studied flow cytometrically by cellular retention of carboxyfluorescein (CF) after CSE incubation and MRPI downregulation by RNA interference (siRNA). Cell survival was measured by the MTT assay. Immunocytochemically, it was shown that 16HBE14o(-) expressed MRP1 and breast cancer resistance protein. Coincubation of CSE IC50 (1.53% 0.22%) with MK571 further decreased cell survival 31% (p = 0.018). CSE increased cellular CF retention dose dependently from 1.7-fold at 5% CSE to 10.3-fold at 40% CSE (both p <0.05). siRNA reduced MRP1 RNA expression with 49% and increased CF accumulation 67% versus control transfected cells. CSE exposure further increased CF retention 24% (p=0.031). A linear positive relation between MRP1 function and CSE-modulating effects (r=0.99, p=0.089) was shown in untransfected, control transfected, and MRP1 downregulated 16HBE14o- cells analogous to blocking effects with MRP1 inhibitor MK571 (r = 0.99, p = 0.034). In conclusion, cigarette smoke extract affects MRP1 activity probably competitively in bronchial epithelial cells. Inhibition of MRP1 in turn results in higher CSE toxicity. We propose that MRP1 may be a protective protein for COPD development. (c) 2007 Wiley Periodicals, Inc