Background: Increasing attention to palliative care for the general population has led to the development of various evidence-based or consensus-based tools and interventions. However, specific tools and interventions are needed for people with severe mental illness (SMI) who have a life-threatening illness. The aim of this systematic review is to summarize the scientific evidence on tools and interventions in palliative care for this group. Methods: Systematic searches were done in the PubMed, Cochrane Library, CINAHL, PsycINFO and Embase databases, supplemented by reference tracking, searches on the internet with free text terms, and consultations with experts to identify relevant literature. Empirical studies with qualitative, quantitative or mixed-methods designs concerning tools and interventions for use in palliative care for people with SMI were included. Methodological quality was assessed using a critical appraisal instrument for heterogeneous study designs. Stepwise study selection and the assessment of methodological quality were done independently by two review authors. Results: Four studies were included, reporting on a total of two tools and one multi-component intervention. One study concerned a tool to identify the palliative phase in patients with SMI. This tool appeared to be usable only in people with SMI with a cancer diagnosis. Furthermore, two related studies focused on a tool to involve people with SMI in discussions about medical decisions at the end of life. This tool was assessed as feasible and usable in the target group. One other study concerned the Dutch national Care Standard for palliative care, including a multicomponent intervention. The Palliative Care Standard also appeared to be feasible and usable in a mental healthcare setting, but required further tailoring to suit this specific setting. None of the included studies investigated the effects of the tools and interventions on quality of life or quality of care. Conclusions: Studies of palliative care tools and interventions for people with SMI are scarce. The existent tools and intervention need further development and should be tailored to the care needs and settings of these people. Further research is needed on the feasibility, usability and effects of tools and interventions for palliative care for people with SMI.
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Abstract Background Smoking among people with severe mental illness (SMI) is highly prevalent and strongly associated with poor physical health. Currently, evidence-based smoking cessation interventions are scarce and need to be integrated into current mental health care treatment guidelines and clinical practice. Therefore, the present study aims to evaluate the implementation and effectiveness of a smoking cessation intervention in comparison with usual care in people with SMI treated by Flexible Assertive Community Treatment (FACT) teams in the Netherlands. Methods A pragmatic, cluster-randomised controlled trial with embedded process evaluation will be conducted. Randomisation will be performed at the level of FACT teams, which will be assigned to the KISMET intervention or a control group (care as usual). The intervention will include pharmacological treatment combined with behavioural counselling and peer support provided by trained mental health care professionals. The intervention was developed using a Delphi study, through which a consensus was reached on the core elements of the intervention. We aim to include a total of 318 people with SMI (aged 18–65 years) who smoke and desire to quit smoking. The primary outcome is smoking status, as verified by carbon monoxide measurements and self-report. The secondary outcomes are depression and anxiety, psychotic symptoms, physical fitness, cardiovascular risks, substance use, quality of life, and health-related self-efficacy at 12 months. Alongside the trial, a qualitative process evaluation will be conducted to evaluate the barriers to and facilitators of its implementation as well as the satisfaction and experiences of both patients and mental health care professionals. Discussion The results of the KISMET trial will contribute to the evidence gap of effective smoking cessation interventions for people treated by FACT teams. Moreover, insights will be obtained regarding the implementation process of the intervention in current mental health care. The outcomes should advance the understanding of the interdependence of physical and mental health and the gradual integration of both within the mental health care system. Trial registration Netherlands Trial Register, NTR9783. Registered on 18 October 2021.
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Abstract Background Smoking among people with severe mental illness (SMI) is highly prevalent and strongly associated with poor physical health. Currently, evidence-based smoking cessation interventions are scarce and need to be integrated into current mental health care treatment guidelines and clinical practice. Therefore, the present study aims to evaluate the implementation and efectiveness of a smoking cessation intervention in comparison with usual care in people with SMI treated by Flexible Assertive Community Treatment (FACT) teams in the Netherlands. Methods A pragmatic, cluster-randomised controlled trial with embedded process evaluation will be conducted. Randomisation will be performed at the level of FACT teams, which will be assigned to the KISMET intervention or a control group (care as usual). The intervention will include pharmacological treatment combined with behavioural counselling and peer support provided by trained mental health care professionals. The intervention was developed using a Delphi study, through which a consensus was reached on the core elements of the intervention. We aim to include a total of 318 people with SMI (aged 18–65 years) who smoke and desire to quit smoking. The primary outcome is smoking status, as verifed by carbon monoxide measurements and self-report. The secondary outcomes are depression and anxiety, psychotic symptoms, physical ftness, cardiovascular risks, substance use, quality of life, and health-related self-efcacy at 12months. Alongside the trial, a qualitative process evaluation will be conducted to evaluate the barriers to and facilitators of its implementation as well as the satisfaction and experiences of both patients and mental health care professionals. Discussion The results of the KISMET trial will contribute to the evidence gap of efective smoking cessation interventions for people treated by FACT teams. Moreover, insights will be obtained regarding the implementation process of the intervention in current mental health care. The outcomes should advance the understanding of the interdependence of physical and mental health and the gradual integration of both within the mental health care system. Trial registration Netherlands Trial Register, NTR9783. Registered on 18 October 2021.
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Background: The present study investigates the suitability of various treatment outcome indicators to evaluate performance of mental health institutions that provide care to patients with severe mental illness. Several categorical approaches are compared to a reference indicator (continuous outcome) using pretest-posttest data of the Health of Nation Outcome Scales (HoNOS). Methods: Data from 10 institutions and 3189 patients were used, comprising outcomes of the first year of treatment by teams providing long-term care. Results: Findings revealed differences between continuous indicators (standardized pre-post difference score ES and ΔT) and categorical indicators (SEM, JTRCI, JTCS, JTRCI&CS, JTrevised) on their ranking of institutions, as well as substantial differences among categorical indicators; the outcome according to the traditional JT approach was most concordant with the continuous outcome indicators. Conclusions: For research comparing group averages, a continuous outcome indicator such as ES or ΔT is preferred, as this best preserves information from the original variable. Categorical outcomes can be used to illustrate what is accomplished in clinical terms. For categorical outcome, the classical Jacobson-Truax approach is preferred over the more complex method of Parabiaghi et al. with eight outcome categories. The latter may be valuable in clinical practice as it allows for a more detailed characterization of individual patients.
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INLEIDING In deze module worden behandeladviezen gegeven voor de Post-COVID-19 ambulante behandeling in de geriatrische revalidatie gericht op somatische-, functionele- en psychische status. Deze module is een onderdeel van het behandeladvies post-COVID-19 (geriatrische) revalidatie-Verenso. Deze module is in een zeer korte tijd tot stand gekomen en heeft de status van groeidocument. Zorgvuldigheid is betracht om zowel de (beperkte) ervaringskennis, als de actuele stand van de wetenschappelijke literatuur hierin te betrekken. Voor dit behandeladvies is gebruik gemaakt van het door GRZPLUS ontwikkeld ambulant revalidatieprogramma CO FIT+. Bij GRZPLUS is een doorontwikkeling gemaakt op basis van de update behandeladvies post-COVID-19 geriatrische revalidatie van Verenso (Verenso, 19-05-2020) welke is gebaseerd op de principes van longrevalidatie zoals vertaald in het Behandelprogramma geriatrische COPD-revalidatie (van Damvan Isselt et al.) en het Behandelprogramma COVID-19 Post IC, van Revalidatiecentrum de Hoogstraat (Brouwers, de Graaf). Dit is aangevuld met behandeladviezen en leidraden vanuit de beroepsverenigingen en kennis uit wetenschappelijk onderzoek (long-revalidatie) en vanuit het REACH netwerk (REhabilitation After Critical illness and Hospital discharge). De komende maanden zullen zowel de nieuwe wetenschappelijke literatuur als de ervaringen uit de praktijk gebruikt worden om de handreiking te verbeteren en zo nodig aan te vullen. Dat zullen wij doen met specialisten ouderengeneeskunde, revalidatieartsen, klinisch-geriaters, paramedici, longartsen, verpleegkundigen, infectie deskundigen, en andere betrokken beroepsgroepen. De revalidatie van ambulante post-COVID-19 patiënten vereist vooral afstemming binnen de multidisciplinaire zorg. De complexiteit en ernst van de problematiek en de interactie van beperkingen op diverse domeinen maakt dat interdisciplinaire behandeling essentieel is.
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BACKGROUND: Prognostic assessments of the mortality of critically ill patients are frequently performed in daily clinical practice and provide prognostic guidance in treatment decisions. In contrast to several sophisticated tools, prognostic estimations made by healthcare providers are always available and accessible, are performed daily, and might have an additive value to guide clinical decision-making. The aim of this study was to evaluate the accuracy of students', nurses', and physicians' estimations and the association of their combined estimations with in-hospital mortality and 6-month follow-up.METHODS: The Simple Observational Critical Care Studies is a prospective observational single-center study in a tertiary teaching hospital in the Netherlands. All patients acutely admitted to the intensive care unit were included. Within 3 h of admission to the intensive care unit, a medical or nursing student, a nurse, and a physician independently predicted in-hospital and 6-month mortality. Logistic regression was used to assess the associations between predictions and the actual outcome; the area under the receiver operating characteristics (AUROC) was calculated to estimate the discriminative accuracy of the students, nurses, and physicians.RESULTS: In 827 out of 1,010 patients, in-hospital mortality rates were predicted to be 11%, 15%, and 17% by medical students, nurses, and physicians, respectively. The estimations of students, nurses, and physicians were all associated with in-hospital mortality (OR 5.8, 95% CI [3.7, 9.2], OR 4.7, 95% CI [3.0, 7.3], and OR 7.7 95% CI [4.7, 12.8], respectively). Discriminative accuracy was moderate for all students, nurses, and physicians (between 0.58 and 0.68). When more estimations were of non-survival, the odds of non-survival increased (OR 2.4 95% CI [1.9, 3.1]) per additional estimate, AUROC 0.70 (0.65, 0.76). For 6-month mortality predictions, similar results were observed.CONCLUSIONS: Based on the initial examination, students, nurses, and physicians can only moderately predict in-hospital and 6-month mortality in critically ill patients. Combined estimations led to more accurate predictions and may serve as an example of the benefit of multidisciplinary clinical care and future research efforts.
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Background: Cardiac output measurements may inform diagnosis and provide guidance of therapeutic interventions in patients with hemodynamic instability. The FloTrac™ algorithm uses uncalibrated arterial pressure waveform analysis to estimate cardiac output. Recently, a new version of the algorithm has been developed. The aim was to assess the agreement between FloTrac™ and routinely performed cardiac output measurements obtained by critical care ultrasonography in patients with circulatory shock.Methods: A prospective observational study was performed in a tertiary hospital from June 2016 to January 2017. Adult critically ill patients with circulatory shock were eligible for inclusion. Cardiac output was measured simultaneously using FloTrac™ with a fourth-generation algorithm (COAP) and critical care ultrasonography (COCCUS). The strength of linear correlation of both methods was determined by the Pearson coefficient. Bland-Altman plot and four-quadrant plot were used to track agreement and trending ability.Result: Eighty-nine paired cardiac output measurements were performed in 17 patients during their first 24 h of admittance. COAP and COCCUS had strong positive linear correlation (r2 = 0.60, p < 0.001). Bias of COAP and COCCUS was 0.2 L min-1 (95% CI - 0.2 to 0.6) with limits of agreement of - 3.6 L min-1 (95% CI - 4.3 to - 2.9) to 4.0 L min-1 (95% CI 3.3 to 4.7). The percentage error was 65.6% (95% CI 53.2 to 77.3). Concordance rate was 64.4%.Conclusions: In critically ill patients with circulatory shock, there was disagreement and clinically unacceptable trending ability between values of cardiac output obtained by uncalibrated arterial pressure waveform analysis and critical care ultrasonography.Trial registration: Clinicaltrials.gov, NCT02912624, registered on September 23, 2016.
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Background and aim Self-management support is an integral part of current chronic care guidelines. The success of self-management interventions varies between individual patients, suggesting a need for tailored self-management support. Understanding the role of patient factors in the current decision making of health professionals can support future tailoring of self-management interventions. The aim of this study is to identify the relative importance of patient factors in health professionals’ decision making regarding self-management support. Method A factorial survey was presented to primary care physicians and nurses. The survey consisted of clinical vignettes (case descriptions), in which 11 patient factors were systematically varied. Each care provider received a set of 12 vignettes. For each vignette, they decided whether they would give this patient self-management support and whether they expected this support to be successful. The associations between respondent decisions and patient factors were explored using ordered logit regression. Results The survey was completed by 60 general practitioners and 80 nurses. Self-management support was unlikely to be provided in a third of the vignettes. The most important patient factor in the decision to provide self-management support as well as in the expectation that self-management support would be successful was motivation, followed by patient-provider relationship and illness perception. Other factors, such as depression or anxiety, education level, self-efficacy and social support, had a small impact on decisions. Disease, disease severity, knowledge of disease, and age were relatively unimportant factors. Conclusion This is the first study to explore the relative importance of patient factors in decision making and the expectations regarding the provision of self-management support to chronic disease patients. By far, the most important factor considered was patient’s motivation; unmotivated patients were less likely to receive self-management support. Future tailored interventions should incorporate strategies to enhance motivation in unmotivated patients. Furthermore, care providers should be better equipped to promote motivational change in their patients.
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Chronic pain rehabilitation programs are aimed at helping patients to increase their functioning despite being in pain, thereby improving their quality of life. However, conversations between patients and practitioners about how the patient could deal with his/her pain and pain-related disabilities in a different way can be interactionally challenging. This study adopts a discursive psychological perspective to explore how pain-related disability is negotiated by patients and practitioners during consultations. The analysis shows that pain-related disability is treated by both patients and practitioners as negotiable rather than a fixed reality. Moreover, it shows that patients’ and practitioners’ negotiations of disability are subject to issues of agency, accountability, and blame, and it provides insight into the interactional dilemmas that are at stake, both for patients and practitioners. Revalidatieprogramma’s voor patiënten met chronische pijn zijn gericht op het verbeteren van het functioneren ondanks de pijn, waardoor kwaliteit van leven wordt bevorderd. Conversaties tussen patiënten en behandelaars over de manier waarop de patiënt kan omgaan met de pijn en gerelateerde beperkingen kunnen interactionele uitdagingen met zich meebrengen. Dit hoofdstuk verkent vanuit discursief-psychologisch perspectief hoe beperkingen worden onderhandeld door patiënten en behandelaars in consulten. De analyse toont aan dat de beperkingen worden behandeld als onderhandelbaar in plaats van als een onveranderbare werkelijkheid. Bovendien toont de analyse dat in deze onderhandelingen bepaalde issues relevant worden gemaakt, zoals ‘agency’, verantwoordelijkheid en schuld. Inzicht wordt geboden in de interactionele dilemma’s die op het spel staan voor zowel patiënten als behandelaars.
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Purpose: Lactate is an established prognosticator in critical care. However, there still is insufficient evidence about its role in predicting outcome in COVID-19. This is of particular concern in older patients who have been mostly affected during the initial surge in 2020. Methods: This prospective international observation study (The COVIP study) recruited patients aged 70 years or older (ClinicalTrials.gov ID: NCT04321265) admitted to an intensive care unit (ICU) with COVID-19 disease from March 2020 to February 2021. In addition to serial lactate values (arterial blood gas analysis), we recorded several parameters, including SOFA score, ICU procedures, limitation of care, ICU- and 3-month mortality. A lactate concentration ≥ 2.0 mmol/L on the day of ICU admission (baseline) was defined as abnormal. The primary outcome was ICU-mortality. The secondary outcomes 30-day and 3-month mortality. Results: In total, data from 2860 patients were analyzed. In most patients (68%), serum lactate was lower than 2 mmol/L. Elevated baseline serum lactate was associated with significantly higher ICU- and 3-month mortality (53% vs. 43%, and 71% vs. 57%, respectively, p < 0.001). In the multivariable analysis, the maximum lactate concentration on day 1 was independently associated with ICU mortality (aOR 1.06 95% CI 1.02–1.11; p = 0.007), 30-day mortality (aOR 1.07 95% CI 1.02–1.13; p = 0.005) and 3-month mortality (aOR 1.15 95% CI 1.08–1.24; p < 0.001) after adjustment for age, gender, SOFA score, and frailty. In 826 patients with baseline lactate ≥ 2 mmol/L sufficient data to calculate the difference between maximal levels on days 1 and 2 (∆ serum lactate) were available. A decreasing lactate concentration over time was inversely associated with ICU mortality after multivariate adjustment for SOFA score, age, Clinical Frailty Scale, and gender (aOR 0.60 95% CI 0.42–0.85; p = 0.004). Conclusion: In critically ill old intensive care patients suffering from COVID-19, lactate and its kinetics are valuable tools for outcome prediction. Trial registration number: NCT04321265.
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