BackgroundStructured primary diabetes care within a collectively supported setting is associated with better monitoring of biomedical and lifestyle-related target indicators among people with type... Show moreBackgroundStructured primary diabetes care within a collectively supported setting is associated with better monitoring of biomedical and lifestyle-related target indicators among people with type 2 diabetes and with better HbA1c levels. Whether socioeconomic status affects delivery of care in terms of monitoring and its association with HbA1c levels within this approach, is unclear. This study aims to understand whether, within a structured care approach, 1) socioeconomic categories differ concerning diabetes monitoring as recommended; 2) socioeconomic status modifies the association between monitoring as recommended and HbA1c.MethodsObservational real-life cohort study with primary care registry data from general practitioners within diverse socioeconomic areas, who are supported with implementation of structured diabetes care. People with type 2 diabetes mellitus were offered quarterly diabetes consultations. 'Monitoring as recommended' by professional guidelines implied minimally one annual registration of HbA1c, systolic blood pressure, LDL, BMI, smoking behaviour and physical activity. Regarding socioeconomic status, deprived, advantageous urban and advantageous suburban categories were compared to the intermediate category concerning 1) recommended monitoring; 2) association between recommended monitoring and HbA1c.ResultsAim 1 (n=13,601 people): Compared to the intermediate socioeconomic category, no significant differences in odds of being monitored as recommended were found in the deprived (OR 0.45 (95%CI 0.19-1.08)), advantageous-urban (OR 1.27 (95%CI 0.46-3.54)) and advantageous- suburban (OR 2.32 (95%CI 0.88-6.08)) categories. Aim 2 (n=11,164 people): People with recommended monitoring had significantly lower HbA1c levels than incompletely-monitored people (-2.4 (95%CI -2.9;-1.8)mmol/mol). SES modified monitoring-related HbA1c differences, which were significantly higher in the deprived (-3.3 (95%CI -4.3;-2.4)mmol/mol) than the intermediate category (-1.3 (95%CI -2.2;-0.4)mmol/mol). Conclusions Within a structured diabetes care setting, socioeconomic status is not associated with recommended monitoring. Socioeconomic differences in the association between recommended monitoring and HbA1c levels advocate further exploration of practice and patient-related factors contributing to appropriate monitoring and for care adjustment to population needs. Show less
Background: A total of 8 Dutch university hospitals are at the forefront of contributing meaningfully to a future-proof health care system. To stimulate nationwide collaboration and knowledge... Show moreBackground: A total of 8 Dutch university hospitals are at the forefront of contributing meaningfully to a future-proof health care system. To stimulate nationwide collaboration and knowledge-sharing on the topic of evidence-based eHealth, the Dutch university hospitals joined forces from 2016 to 2019 with the first Citrien Fund (CF) program eHealth; 29 eHealth projects with various subjects and themes were selected, supported, and evaluated. To determine the accomplishment of the 10 deliverables for the CF program eHealth and to contribute to the theory and practice of formative evaluation of eHealth in general, a comprehensive evaluation was deemed essential.Objective: The first aim of this study is to evaluate whether the 10 deliverables of the CF program eHealth were accomplished. The second aim is to evaluate the progress of the 29 eHealth projects to determine the barriers to and facilitators of the development of the CF program eHealth projects.Methods: To achieve the first aim of this study, an evaluation study was carried out using an adapted version of the Commonwealth Scientific and Industrial Research Organization framework. A mixed methods study, consisting of a 2-part questionnaire and semistructured interviews, was conducted to analyze the second aim of the study.Results: The 10 deliverables of the CF program eHealth were successfully achieved. The program yielded 22 tangible eHealth solutions, and significant knowledge on the development and use of eHealth solutions. We have learned that the patient is enthusiastic about accessing and downloading their own medical data but the physicians are more cautious. It was not always possible to implement the Dutch set of standards for interoperability, owing to a lack of information technology (IT) capacities. In addition, more attention needed to be paid to patients with low eHealth skills, and education in such cases is important. The eHealth projects' progress aspects such as planning, IT services, and legal played an important role in the success of the 29 projects. The in-depth interviews illustrated that a novel eHealth solution should fulfill a need, that partners already having the knowledge and means to accelerate development should be involved, that clear communication with IT developers and other stakeholders is crucial, and that having a dedicated project leader with sufficient time is of utmost importance for the success of a project.Conclusions: The 8 Dutch university hospitals were able to collaborate successfully and stimulate through a bottom-up approach, nationwide eHealth development and knowledge-sharing. In total, 22 tangible eHealth solutions were developed, and significant eHealth knowledge about their development and use was shared. The eHealth projects' progress aspects such as planning, IT services, and legal played an important role in the successful progress of the projects and should therefore be closely monitored when developing novel eHealth solutions. Show less
Jimenez, G.; Matchar, D.; Koh, G.C.H.; Tyagi, S.; Kleij, R.M.J.J. van der; Chavannes, N.H.; Car, J. 2021
Background: The four primary care (PC) core functions (the '4Cs', ie, first contact, comprehensiveness, coordination and continuity) are essential for good quality primary healthcare and their... Show moreBackground: The four primary care (PC) core functions (the '4Cs', ie, first contact, comprehensiveness, coordination and continuity) are essential for good quality primary healthcare and their achievement leads to lower costs, less inequality and better population health. However, their broad definitions have led to variations in their assessment, in the innovations implemented to improve these functions and ultimately in their performance. Objectives: To update and operationalise the 4Cs' definitions by using a literature review and analysis of enhancement strategies, and to identify innovations that may lead to their enhancement. Methods: Narrative, descriptive analysis of the 4Cs definitions, coming from PC international reports and organisations, to identify measurable features for each of these functions. Additionally, we performed an electronic search and analysis of enhancement strategies to improve these four Cs, to explore how the 4Cs inter-relate. Results: Specific operational elements for first contact include modality of contact, and conditions for which PC should be approached; for comprehensiveness, scope of services and spectrum of population needs; for coordination, links between PC and higher levels of care and social/community-based services, and workforce managing transitions and for continuity, type, level and context of continuity. Several innovations like enrolment, digital health technologies and new or enhanced PC provider's roles, simultaneously influenced two or more of the 4Cs. Conclusion: Providing clear, well-defined operational elements for these 4Cs to measure their achievement and improve the way they function, and identifying the complex network of interactions among them, should contribute to the field in a way that supports efforts at practice innovation to optimise the processes and outcomes in PC. Show less
Background Dutch standard diabetes care is generally protocol-driven. However, considering that general practices wish to tailor diabetes care to individual patients and encourage self-management,... Show moreBackground Dutch standard diabetes care is generally protocol-driven. However, considering that general practices wish to tailor diabetes care to individual patients and encourage self-management, particularly in light of current COVID-19 related constraints, protocols and other barriers may hinder implementation. The impact of dispensing with protocol and implementation of self-management interventions on patient monitoring and experiences are not known. This study aims to evaluate tailoring of care by understanding experiences of well-organised practices 1) when dispensing with protocol; 2) determining the key conditions for successful implementation of self-management interventions; and furthermore exploring patients' experiences regarding dispensing with protocol and self-management interventions. Methods in this mixed-methods prospective study, practices (n = 49) were invited to participate if they met protocol-related quality targets, and their adult patients with well-controlled type 2 diabetes were invited if they had received protocol-based diabetes care for a minimum of 1 year. For practices, study participation consisted of the opportunity to deliver protocol-free diabetes care, with selection and implementation of self-management interventions. For patients, study participation provided exposure to protocol-free diabetes care and self-management interventions. Qualitative outcomes (practices: 5 focus groups, 2 individual interviews) included experiences of dispensing with protocol and the implementation process of self-management interventions, operationalised as implementation fidelity. Quantitative outcomes (patients: routine registry data, surveys) consisted of diabetes monitoring completeness, satisfaction, wellbeing and health status at baseline and follow-up (24 months). Results Qualitative: In participating practices ( = 4), dispensing with protocol encouraged reflection on tailored care and selection of various self-management interventions nA focus on patient preferences, team collaboration and intervention feasibility was associated with high implementation fidelity Quantitative: In patients ( = 126), likelihood of complete monitoring decreased significantly after two years (OR 0.2 (95% CI 0.1-0.5), < 0.001) npSatisfaction decreased slightly (- 1.6 (95% CI -2.6;-0.6), = 0.001) pNon-significant declines were found in wellbeing (- 1.3 (95% CI -5.4; 2.9), p = 0.55) and health status (- 3.0 (95% CI -7.1; 1.2), p = 0.16). Conclusions To tailor diabetes care to individual patients within well-organised practices, we recommend dispensing with protocol while maintaining one structural annual monitoring consultation, combined with the well-supported implementation of feasible self-management interventions. Interventions should be selected and delivered with the involvement of patients and should involve population preferences and solid team collaborations. Show less
Anastasaki, M.; Tsiligianni, I.; Sifaki-Pistolla, D.; Chatzea, V.E.; Karelis, A.; Bertsias, A.; ... ; FRESH AIR Collaborators 2021
Breathing polluted air is a risk to respiratory conditions. During the Greek financial crisis, the use of household fireplaces/wood stoves shifted from mostly decorative to actual domestic heating,... Show moreBreathing polluted air is a risk to respiratory conditions. During the Greek financial crisis, the use of household fireplaces/wood stoves shifted from mostly decorative to actual domestic heating, resulting in increased indoor smoke production. We aimed to evaluate household air pollution (HAP), fuel use and respiratory symptoms in rural Crete, Greece. PM2.5 and CO were measured in 32 purposively selected rural households (cross-sectional study) at periods reflecting lesser (baseline) versus extensive (follow-up) heating. Clinical outcomes were assessed using questionnaires. Mean PM2.5 were not significantly different between measurements (36.34 mu g/m(3) vs. 54.38 mu g/m(3), p = 0.60) but exceeded the WHO air quality guidelines. Mean and maximal CO levels were below the WHO cut-offs (0.56 ppm vs. 0.34 ppm, p = 0.414 and 26.1 ppm vs. 9.72 ppm, p = 0.007, respectively). In total, 90.6% of households were using wood stoves or fireplaces for heating, but half also owned clean fuel devices. The differences between devices that were owned versus those that were used were attributed to financial reasons. In both cases, the most frequent respiratory symptoms were phlegm (27.3% vs. 15.2%; p = 0.34) and cough (24.2% vs. 12.1%; p = 0.22). Our findings demonstrate the magnitude of HAP and confirm the return to harmful practices during Greece's austerity. Upon validation, these results can support strategies for fighting fuel poverty, empowering communities and strengthening local health systems. Show less
Background: Huntington's disease (HD) is an autosomal dominant neurodegenerative disease that affects the quality of life (QoL) of HD gene expansion carriers (HDGECs) and their partners. Although... Show moreBackground: Huntington's disease (HD) is an autosomal dominant neurodegenerative disease that affects the quality of life (QoL) of HD gene expansion carriers (HDGECs) and their partners. Although HD expertise centers have been emerging across Europe, there are still some important barriers to care provision for those affected by this rare disease, including transportation costs, geographic distance of centers, and availability/accessibility of these services in general. eHealth seems promising in overcoming these barriers, yet research on eHealth in HD is limited and fails to use telehealth services specifically designed to fit the perspectives and expectations of HDGECs and their families. In the European HD-eHelp study, we aim to capture the needs and wishes of HDGECs, partners of HDGECs, and health care providers (HCPs) in order to develop a multinational eHealth platform targeting QoL of both HDGECs and partners at home.Methods: We will employ a participatory user-centered design (UCD) approach, which focusses on an in-depth understanding of the end-users' needs and their contexts. Premanifest and manifest adult HDGECs (n = 76), partners of HDGECs (n = 76), and HCPs (n = 76) will be involved as end-users in all three phases of the research and design process: (1) Exploration and mapping of the end-users' needs, experiences and wishes; (2) Development of concepts in collaboration with end-users to ensure desirability; (3) Detailing of final prototype with quick review rounds by end-users to create a positive user-experience. This study will be conducted in the Netherlands, Germany, Czech Republic, Italy, and Ireland to develop and test a multilingual platform that is suitable in different healthcare systems and cultural contexts.Discussion: Following the principles of UCD, an innovative European eHealth platform will be developed that addresses the needs and wishes of HDGECs, partners and HCPs. This allows for high-quality, tailored care to be moved partially into the participants' home, thereby circumventing some barriers in current HD care provision. By actively involving end-users in all design decisions, the platform will be tailored to the end-users' unique requirements, which can be considered pivotal in eHealth services for a disease as complex and rare as HD. Show less
Background: eHealth has the potential to improve outcomes such as physical activity or balance in older adults receiving geriatric rehabilitation. However, several challenges such as scarce... Show moreBackground: eHealth has the potential to improve outcomes such as physical activity or balance in older adults receiving geriatric rehabilitation. However, several challenges such as scarce evidence on effectiveness, feasibility, and usability hinder the successful implementation of eHealth in geriatric rehabilitation.Objective: The aim of this systematic review was to assess evidence on the effectiveness, feasibility, and usability of eHealth interventions in older adults in geriatric rehabilitation.Methods: We searched 7 databases for randomized controlled trials, nonrandomized studies, quantitative descriptive studies, qualitative research, and mixed methods studies that applied eHealth interventions during geriatric rehabilitation. Included studies investigated a combination of effectiveness, usability, and feasibility of eHealth in older patients who received geriatric rehabilitation, with a mean age of >= 70 years. Quality was assessed using the Mixed Methods Appraisal Tool and a narrative synthesis was conducted using a harvest plot.Results: In total, 40 studies were selected, with clinical heterogeneity across studies. Of 40 studies, 15 studies (38%) found eHealth was at least as effective as non-eHealth interventions (56% of the 27 studies with a control group), 11 studies (41%) found eHealth interventions were more effective than non-eHealth interventions, and 1 study (4%) reported beneficial outcomes in favor of the non-eHealth interventions. Of 17 studies, 16 (94%) concluded that eHealth was feasible. However, high exclusion rates were reported in 7 studies of 40 (18%). Of 40 studies, 4 (10%) included outcomes related to usability and indicated that there were certain aging-related barriers to cognitive ability, physical ability, or perception, which led to difficulties in using eHealth.Conclusions: eHealth can potentially improve rehabilitation outcomes for older patients receiving geriatric rehabilitation. Simple eHealth interventions were more likely to be feasible for older patients receiving geriatric rehabilitation, especially, in combination with another non-eHealth intervention. However, a lack of evidence on usability might hamper the implementation of eHealth. eHealth applications in geriatric rehabilitation show promise, but more research is required, including research with a focus on usability and participation. Show less
Background: Smoking is more prevalent and persistent among lower socio-economic status (SES) compared with higher-SES groups, and contributes greatly to SES-based health inequities. Few... Show moreBackground: Smoking is more prevalent and persistent among lower socio-economic status (SES) compared with higher-SES groups, and contributes greatly to SES-based health inequities. Few interventions exist that effectively help lower-SES smokers quit. This study evaluated "De StopCoach", a mobile phone delivered eHealth intervention targeted at lower-SES smokers based on the evidence-based StopAdvisor, in a real-world setting (five municipalities) in The Netherlands in 2019-2020.Method: We conducted individual semi-structured interviews with project leaders, healthcare professionals, and participating smokers (N = 22), and examined log data from the app (N = 235). For practical reasons, SES of app users was not measured. Qualitative data were analysed using the Framework Approach, with the Consolidated Framework for Implementation Research (CFIR) and Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical models.Results: Qualitative data showed that factors from the Intervention and Setting domains were most important for the implementation. StopCoach seemed suitable for lower-SES smokers in terms of performance and effort expectancy, especially when integrated with regular smoking cessation counseling (SCC). Key barriers to implementation of the app were limited integration of the app in SCC programs in practice, difficulty experienced by project leaders and healthcare professionals to engage the local community, and barriers to SCC more generally (e.g., perceived resistance to quitting in patients) that prevented healthcare professionals from offering the app to smokers. Quantitative data showed that 48% of app users continued using the app after the preparation phase and pre-quit day, and that 33% of app users had attempted to quit. Both app adherence and quit attempts were more likely if smokers also received SCC from a professional coach. Posthoc analyses suggest that adherence is related to higher likelihood of a quit attempt among participants with and without a professional coach.Conclusions: Smokers, healthcare professionals and project leaders indicated in the interviews that the StopCoach app would work best when combined with SCC. It also appears from app log that app adherence and quit attempts by app users can be facilitated by combining the app with face-to-face SCC. As such, blended care appears promising for helping individual smokers quit, as it combines the best of regular SCC and eHealth. Further research on blended care for lower-SES smokers is needed. Show less
Background: The increase in smartphone use and mobile health applications (apps) holds potential to use apps to reduce and detect healthcare-associated infections (HAIs) in clinical practice. Aim:... Show moreBackground: The increase in smartphone use and mobile health applications (apps) holds potential to use apps to reduce and detect healthcare-associated infections (HAIs) in clinical practice. Aim: To obtain an overview of available apps for HAI prevention, by selecting the clinically relevant apps and scoring functionality, quality and usefulness. Methods: This scoping review of available apps in the iOS and Android app stores uses an in-house-developed tool (scraper https://holtder.github.io/talos) to systematically aggregate available apps relevant for HAI prevention. The apps are evaluated on functionality, assessed on quality using the 'Mobile Application Rating Scale' (MARS), and assessed on potential use in clinical infection prevention. Findings: Using the scraper with CDC HAI topics through 146 search terms resulted in 92,726 potentially relevant apps, of which 28 apps met the inclusion criteria. The majority of these apps have the functionality to inform (27 of 28 apps) or to instruct (20/28). MARS scores for the 28 apps were high in the following domains: functionality (4.19/5), aesthetics (3.49/5), and information (3.74/5), with relatively low scores in engagement (2.97/5), resulting in a good average score (3.57/5). Conclusion: Low engagement scores restrict apps that intend to inform or instruct, possibly explained by the often-academic nature of the development of these apps. Although the number of HAI prevention apps increased by 60% in 5 years, the proportion of clinically relevant apps is limited. The variation in HAI app quality and lack of user engagement, could be improved by co-creation and development in the clinical setting. (c) 2021 The Author(s). Published by Elsevier Ltd on behalf of The Healthcare Infection Society. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Show less
Dijk, W.J. van; Saadah, N.H.; Numans, M.E.; Aardoom, J.J.; Bonten, T.N.; Brandjes, M.; ... ; Kiefte-de Jong, J. 2021
Background Few European smokers receive professional counselling when attempting to quit smoking, resulting in suboptimal success rates and poor health outcomes. Healthcare providers in general... Show moreBackground Few European smokers receive professional counselling when attempting to quit smoking, resulting in suboptimal success rates and poor health outcomes. Healthcare providers in general practice play an important role in referring smokers to smoking cessation counselling. We chose the Netherlands as a case study to qualitatively explore which factors play a role among healthcare providers in general practice with regard to referral for smoking cessation counselling organised both inside and outside general practice. Methods We conducted four focus groups and 18 telephone interviews, with a total of 31 healthcare providers who work in general practice. Qualitative content analysis was used to identify relevant factors related to referral behaviours, and each factor was linked to one of the three main components of the COM-B behaviour model (i.e., capability, opportunity and motivation) as well as the six sub-components of the model. Results Dutch healthcare providers in general practice typically refer smokers who want to quit to counselling inside their own general practice without actively discussing other counselling options, indicating a lack of shared decision making. The analysis showed that factors linked to the COM-B main components 'capability' and 'opportunity', such as healthcare providers' skills and patients' preferences, play a role in whether patients are referred to counselling inside general practice. Factors linked to all three COM-B components were found to play a role in referrals to counselling outside general practice. These included (knowledge of) the availability and quality of counselling in the region, patients' requests, reimbursement, and sense of urgency to refer. The identified factors can both act as barriers and facilitators. Conclusions The findings of this research suggest that more smokers can be reached with smoking cessation counselling if implementation interventions focus on: (i) equipping healthcare providers with the knowledge and skills needed to refer patients; (ii) creating more opportunities for healthcare providers to refer patients (e.g., by improving the availability and reimbursement of counselling options); and (iii) motivating healthcare providers to discuss different counselling options with patients. Show less
Background Ehealth platforms, since the outbreak of COVID-19 more important than ever, can support self-management in patients with Chronic Obstructive Pulmonary Disease (COPD). The aim of this... Show moreBackground Ehealth platforms, since the outbreak of COVID-19 more important than ever, can support self-management in patients with Chronic Obstructive Pulmonary Disease (COPD). The aim of this observational study is to explore the impact of healthcare professional involvement on the adherence of patients to an eHealth platform. We evaluated the usage of an eHealth platform by patients who used the platform individually compared with patients in a blended setting, where healthcare professionals were involved. Methods In this observational cohort study, log data from September 2011 until January 2018 were extracted from the eHealth platform Curavista. Patients with COPD who completed at least one Clinical COPD Questionnaire (CCQ) were included for analyses (n = 299). In 57% (n = 171) of the patients, the eHealth platform was used in a blended setting, either in hospital (n = 128) or primary care (n = 29). To compare usage of the platform between patients who used the platform independently or with a healthcare professional, we applied propensity score matching and performed adjusted Poisson regression analysis on CCQ-submission rate. Results Using the eHealth platform in a blended setting was associated with a 3.25 higher CCQ-submission rate compared to patients using the eHealth platform independently. Within the blended setting, the CCQ-submission rate was 1.83 higher in the hospital care group than in the primary care group. Conclusion It is shown that COPD patients used the platform more frequently in a blended care setting compared to patients who used the eHealth platform independently, adjusted for age, sex and disease burden. Blended care seems essential for adherence to eHealth programs in COPD, which in turn may improve self-management. Show less
Breeman, L.D.; Keesman, M.; Atsma, D.E.; Chavannes, N.H.; Janssen, V.; Gemert-Pijnen, L. van; ... ; BENEFIT Consortium 2021
Background: Healthy living is key in the prevention and rehabilitation of cardiovascular disease (CVD). Yet, supporting and maintaining a healthy lifestyle is exceptionally difficult and people... Show moreBackground: Healthy living is key in the prevention and rehabilitation of cardiovascular disease (CVD). Yet, supporting and maintaining a healthy lifestyle is exceptionally difficult and people differ in their needs regarding optimal support for healthy lifestyle interventions.Objective: The goals of this study were threefold: to uncover stakeholders' needs and preferences, to translate these to core values, and develop eHealth technology based on these core values. Our primary research question is: What type of eHealth application to support healthy living among people with (a high risk of) CVD would provide the greatest benefit for all stakeholders? Methods: User-centered design principles from the CeHRes roadmap for eHealth development were followed to guide the uncovering of important stakeholder values. Data were synthesized from various qualitative studies (i. e., literature studies, interviews, think-aloud sessions, focus groups) and usability tests (i.e., heuristic evaluation, cognitive walkthrough, think aloud study). We also developed an innovative application evaluation tool to perform a competitor analysis on 33 eHealth applications. Finally, to make sure to take into account all end-users needs and preferences in eHealth technology development, we created personas and a customer journey.Results: We uncovered 10 universal values to which eHealth-based initiatives to support healthy living in the context of CVD prevention and rehabilitation should adhere to (e.g., providing social support, stimulating intrinsic motivation, offering continuity of care). These values were translated to 14 desired core attributes and then prototype designs. Interestingly, we found that the primary attribute of good eHealth technology was not a single intervention principle, but rather that the technology should be in the form of a digital platform disseminating various interventions, i.e., a 'one-stop-shop'.Conclusion: Various stakeholders in the field of cardiovascular prevention and rehabilitation may benefit most from utilizing one personalized eHealth platform that integrates a variety of evidence-based interventions, rather than a new tool. Instead of a one-size-fits-all approach, this digital platform should aid the matchmaking between patients and specific interventions based on personal characteristics and preferences. Show less
Objective: Healthcare providers' (HCPs) perceptions of smokers' responsibility for smoking may affect implementation of smoking cessation care (SCC), but are understudied. This study examined Dutch... Show moreObjective: Healthcare providers' (HCPs) perceptions of smokers' responsibility for smoking may affect implementation of smoking cessation care (SCC), but are understudied. This study examined Dutch HCPs' perceptions of smokers' responsibility for smoking, and how many and which subgroups exist with regard to these perceptions.Methods: Observational cross-sectional study among physicians and other HCPs (N = 570). Latent class analysis was used to analyse data.Results: Results showed two latent classes of HCPs: a majority (77 %) that appeared to hold smokers themselves more accountable for their smoking, and a minority (23 %) that seemed more inclined to believe that people smoked as a consequence of factors such as addiction, and smoking initiation when people were young and could not foresee consequences. The two-class model showed excellent certainty in classification. Class membership was associated with age, working experience, and smoking status. The majority class experienced more barriers to SCC than the minority class and provided SCC tasks to fewer patients.Conclusions: HCPs' perceptions of smokers' responsibility for smoking relate to HCP background characteristics, barriers to SCC and implementation of SCC.Practice Implications: New approaches to improving SCC might be needed that take HCP's perceptions of smokers' responsibility into account. (C) 2020 The Author(s). Published by Elsevier B.V. Show less
Broese, J.M.C.; Heij, A.H. de; Janssen, D.J.A.; Skora, J.A.; Kerstjens, H.A.M.; Chavannes, N.H.; ... ; Kleij, R.M.J.J. van der 2021
Background:Although guidelines recommend palliative care for patients with chronic obstructive pulmonary disease, there is little evidence for the effectiveness of palliative care interventions for... Show moreBackground:Although guidelines recommend palliative care for patients with chronic obstructive pulmonary disease, there is little evidence for the effectiveness of palliative care interventions for this patient group specifically.Aim:To describe the characteristics of palliative care interventions for patients with COPD and their informal caregivers and review the available evidence on effectiveness and implementation outcomes.Design:Systematic review and narrative synthesis (PROSPERO CRD42017079962).Data sources:Seven databases were searched for articles reporting on multi-component palliative care interventions for study populations containing > 30% patients with COPD. Quantitative as well as qualitative and mixed-method studies were included. Intervention characteristics, effect outcomes, implementation outcomes and barriers and facilitators for successful implementation were extracted and synthesized qualitatively.Results:Thirty-one articles reporting on twenty unique interventions were included. Only four interventions (20%) were evaluated in an adequately powered controlled trial. Most interventions comprised of longitudinal palliative care, including care coordination and comprehensive needs assessments. Results on effectiveness were mixed and inconclusive. The feasibility level varied and was context-dependent. Acceptability of the interventions was high; having someone to call for support and education about breathlessness were most valued characteristics. Most frequently named barriers were uncertainty about the timing of referral due to the unpredictable disease trajectory (referrers), time availability (providers) and accessibility (patients).Conclusion:Little high-quality evidence is yet available on the effectiveness and implementation of palliative care interventions for patients with COPD. There is a need for well-conducted effectiveness studies and adequate process evaluations using standardized methodologies to create higher-level evidence and inform successful implementation. Show less
