Turning green: the impact of changing to more eco-friendly respiratory healthcare - a carbon and cost analysis of Dutch prescription data.

OBJECTIVES: Dry powder inhalers (DPIs) and soft mist inhalers have a substantially lower global warming potential than pressurised metered-dose inhalers (pMDIs). To help mitigate climate change, we assessed the potential emission reduction in CO2 equivalents when replacing pMDIs by non-propellant inhalers (NPIs) in Dutch respiratory healthcare and estimated the associated cost. DESIGN: We performed a descriptive analysis of prescription data from two national databases of two independent governmental bodies. First, we calculated the number of patients with chronic obstructive pulmonary disease (COPD) and asthma that were using inhalation medication (2020). Second, we calculated the number and total of daily defined doses of pMDIs and NPIs including DPIs and soft mist inhalers, as well as the number of dispensed spacers per patient (2020). Third, we estimated the potential emission reduction in CO2 equivalents if 70% of patients would switch from using pMDIs to using NPIs. Fourth, we performed a budget impact analysis. SETTING: Dutch respiratory healthcare. PRIMARY AND SECONDARY OUTCOME MEASURES: The carbon footprint of current inhalation medication and the environmental and financial impact of replacing pMDIs with NPIs. RESULTS: In 2020, 1.4 million patients used inhalers for COPD or asthma treatment. A total of 364 million defined daily doses from inhalers were dispensed of which 49.6% were dispensed through pMDIs. We estimated that this could be reduced by 70% which would lead to an annual reduction in greenhouse gas emission of 63 million kg.CO2 equivalents saving at best EUR 49.1 million per year. CONCLUSIONS: In the Netherlands, substitution of pMDIs to NPIs for eligible patients is theoretically safe and in accordance with medical guidelines, while reducing greenhouse gas emission by 63 million kg.CO2 equivalents on average and saving at best EUR 49.1 million per year. This study confirms the potential climate and economic benefit of delivering a more eco-friendly respiratory care.

[Medication waste in a hospital setting: concerns and considerations]. / Geneesmiddelverspilling in het ziekenhuis.

The use of medication contributes significantly to the total CO2 emission caused by the public health sector. Conservative estimates reveal that the amount of medication distributed by public pharmacies but is wasted unused equalizes a total amount of 100 million euro. Data regarding medication waste in hospitals is not yet available. Besides costs, wasting unused medication also has an enormous ecological impact. We analysed the stream of medication waste in our hospital and tried to reduce this by addressing the main causes. Our medication distribution process is mainly based on financial and quality based decisions, but should impact on planetary health not also be included? To realize this, though, both ecotoxicologic data as well as information related to environmental impact of medication production should be available and easily accessible.

Effectiveness of eHealth Interventions in Improving Medication Adherence for Patients With Chronic Obstructive Pulmonary Disease or Asthma: Systematic Review.

BACKGROUND: Poor treatment adherence in patients with chronic obstructive pulmonary disease (COPD) or asthma is a global public health concern with severe consequences in terms of patient health and societal costs. A potentially promising tool for addressing poor compliance is eHealth. OBJECTIVE: This review investigates the effects of eHealth interventions on medication adherence in patients with COPD or asthma. METHODS: A systematic literature search was conducted in the databases of Cochrane Library, PsycINFO, PubMed, and Embase for studies with publication dates between January 1, 2000, and October 29, 2020. We selected randomized controlled trials targeting adult patients with COPD or asthma, which evaluated the effectiveness of an eHealth intervention on medication adherence. The risk of bias in the included studies was examined using the Cochrane Collaboration's risk of bias tool. The results were narratively reviewed. RESULTS: In total, six studies focusing on COPD and seven focusing on asthma were analyzed. Interventions were mostly internet-based or telephone-based, and could entail telemonitoring of symptoms and medication adherence, education, counseling, consultations, and self-support modules. Control groups mostly comprised usual care conditions, whereas a small number of studies used a face-to-face intervention or waiting list as the control condition. For COPD, the majority of eHealth interventions were investigated as an add-on to usual care (5/6 studies), whereas for asthma the majority of interventions were investigated as a standalone intervention (5/7 studies). Regarding eHealth interventions targeting medication adherence for COPD, two studies reported nonsignificant effects, one study found a significant effect in comparison to usual care, and three reported mixed results. Of the seven studies that investigated eHealth interventions targeting medication adherence in asthma, three studies found significant effects, two reported nonsignificant effects, and two reported mixed effects. CONCLUSIONS: The mixed results on the effectiveness of eHealth interventions in improving treatment adherence for asthma and COPD are presumably related to the type, context, and intensity of the interventions, as well as to differences in the operationalization and measurement of adherence outcomes. Much remains to be learned about the potential of eHealth to optimize treatment adherence in COPD and asthma.

Climate change, environmental sustainability and health care quality.

The challenges for health care continue to grow and in the 21st century healthcare policymakers and providers will need to respond to the developing impact of global warming and the environmental impact of healthcare service delivery. This cannot be viewed apart from the current Coronavirus disease (COVID-19) pandemic, which is likely to be linked to the climate crisis.

Health technology assessment frameworks for eHealth: A systematic review.

OBJECTIVES: Traditionally, health technology assessment (HTA) focuses on assessing the impact of pharmaceutical technologies on health and care. Resources are scarce and policy makers aim to achieve effective, accessible health care. eHealth innovations are increasingly more integrated in all healthcare domains. However, how eHealth is assessed prior to its implementation in care practices is unclear. To support evidence-informed policy making, this study aimed to identify frameworks and methods for assessing eHealth's impact on health care. METHODS: The scientific literature in five bibliographical databases was systematically reviewed. Articles were included if the study was conducted in a clinical setting, used an HTA framework and assessed an eHealth service. A systematic qualitative narrative approach was applied for analysis and reporting. RESULTS: Twenty-one HTA frameworks were identified in twenty-three articles. All frameworks addressed outcomes related to the technical performance and functionalities of eHealth service under assessment. The majority also addressed costs (n = 19), clinical outcomes (n = 14), organizational (n = 15) and system level aspects (n = 13). Most frameworks can be classified as dimensional (n = 13), followed by staged (n = 3), hybrid (n = 3), and business modeling frameworks (n = 2). Six frameworks specified assessment outcomes and methods. CONCLUSIONS: HTA frameworks are available for a-priori impact assessment of eHealth services. The frameworks vary in assessment outcomes, methods, and specificity. Demonstrated applicability in practice is limited. Recommendations include standardization of: (i) reporting characteristics of eHealth services, and (ii) specifying assessment outcomes and methods following a stepped-approach tailored to the functional characteristics of eHealth services. Standardization might improve the quality and comparability of eHTA assessments.

Effectiveness of eHealth Interventions in Improving Treatment Adherence for Adults With Obstructive Sleep Apnea: Meta-Analytic Review.

BACKGROUND: Poor adherence to continuous positive airway pressure (CPAP) treatment by adults with obstructive sleep apnea (OSA) is a common issue. Strategies delivered by means of information and communication technologies (ie, eHealth) can address treatment adherence through patient education, real-time monitoring of apnea symptoms and CPAP adherence in daily life, self-management, and early identification and subsequent intervention when device or treatment problems arise. However, the effectiveness of available eHealth technologies in improving CPAP adherence has not yet been systematically studied. OBJECTIVE: This meta-analytic review was designed to investigate the effectiveness of a broad range of eHealth interventions in improving CPAP treatment adherence. METHODS: We conducted a systematic literature search of the databases of Cochrane Library, PsycINFO, PubMed, and Embase to identify relevant randomized controlled trials in adult OSA populations. The risk of bias in included studies was examined using seven items of the Cochrane Collaboration risk-of-bias tool. The meta-analysis was conducted with comprehensive meta-analysis software that computed differences in mean postintervention adherence (MD), which was defined as the average number of nightly hours of CPAP use. RESULTS: The meta-analysis ultimately included 18 studies (N=5429 adults with OSA) comprising 22 comparisons between experimental and control conditions. Postintervention data were assessed at 1 to 6 months after baseline, depending on the length of the experimental intervention. eHealth interventions increased the average nightly use of CPAP in hours as compared with care as usual (MD=0.54, 95% CI 0.29-0.79). Subgroup analyses did not reveal significant differences in effects between studies that used eHealth as an add-on or as a replacement to care as usual (P=.95), between studies that assessed stand-alone eHealth and blended strategies combining eHealth with face-to-face care (P=.23), or between studies of fully automated interventions and guided eHealth interventions (P=.83). Evidence for the long-term follow-up effectiveness of eHealth adherence interventions remains undecided owing to a scarcity of available studies and their mixed results. CONCLUSIONS: eHealth interventions for adults with OSA can improve adherence to CPAP in the initial months after the start of treatment, increasing the mean nightly duration of use by about half an hour. Uncertainty still exists regarding the timing, duration, intensity, and specific types of eHealth interventions that could be most effectively implemented by health care providers.

eHealth for people with COPD in the Netherlands: a scoping review.

Background: In the Netherlands, almost 600,000 people had chronic obstructive pulmonary disease (COPD) in 2017. This decreases quality of life for many and each year, COPD leads to approximately 6,800 deaths and about one billion health care expenditures. It is expected that eHealth may improve access to care and reduce costs. However, there is no conclusive scientific evidence available of the added value of eHealth in COPD care. We conducted a scoping review into the use of eHealth in Dutch COPD care. The aim of the research was to provide an overview of all eHealth applications used in Dutch COPD care and to assess these applications on a number of relevant criteria. Methods: In order to make an overview of all eHealth applications aimed at COPD patients in the Netherlands, literature was searched in the electronic databases PubMed and Google Scholar. In addition, Dutch health care websites were searched for applications that have been evaluated for effectiveness and reliability. The identified eHealth applications were assessed according to five relevant quality criteria, eg, whether research has been conducted on the effectiveness. Results: Thirteen health care programs and patient platforms in COPD care have been found that use eHealth. In addition, 13 self-care and informative websites and 15 mobile apps were found that are available to citizens and patients. Five of 13 care programs and patient platforms were found to be effective in improving quality of life or reducing hospital admissions in small pilot studies. The effectiveness of these and the other eHealth applications should be established in larger studies in the future. Discussion: More research into the effectiveness of eHealth applications for COPD patients is needed. We recommend to develop a nationwide open source platform where well-evaluated eHealth applications can be showcased for patients and health care providers to improve COPD care.

eHealth and quality in health care: implementation time.

The use of information and communication technologies in health and health care could improve healthcare quality in many ways. Today's evidence base demonstrates the (cost-)effectiveness of online education, self-management support and tele-monitoring in several domains of health and care. While new results gradually provide more evidence for eHealth's impact on quality issues, now is the time to come to grips with implementation issues. Documented drawbacks such as low acceptance, low adoption or low adherence need our attention today to make the most of eHealth' potential. Improvement science is beginning to deliver the tools to address these persistent behavioural and cultural issues. The ceHRes Roadmap, for instance, is a plural and pragmatic approach that includes users' needs. It is now imperative to improve our implementation strategies in order to scale up eHealth technologies. This will accelerate the much needed transformation of our healthcare systems and sustain access, affordability and quality for all in the near future.

Persuasive system design does matter: a systematic review of adherence to web-based interventions.

BACKGROUND: Although web-based interventions for promoting health and health-related behavior can be effective, poor adherence is a common issue that needs to be addressed. Technology as a means to communicate the content in web-based interventions has been neglected in research. Indeed, technology is often seen as a black-box, a mere tool that has no effect or value and serves only as a vehicle to deliver intervention content. In this paper we examine technology from a holistic perspective. We see it as a vital and inseparable aspect of web-based interventions to help explain and understand adherence. OBJECTIVE: This study aims to review the literature on web-based health interventions to investigate whether intervention characteristics and persuasive design affect adherence to a web-based intervention. METHODS: We conducted a systematic review of studies into web-based health interventions. Per intervention, intervention characteristics, persuasive technology elements and adherence were coded. We performed a multiple regression analysis to investigate whether these variables could predict adherence. RESULTS: We included 101 articles on 83 interventions. The typical web-based intervention is meant to be used once a week, is modular in set-up, is updated once a week, lasts for 10 weeks, includes interaction with the system and a counselor and peers on the web, includes some persuasive technology elements, and about 50% of the participants adhere to the intervention. Regarding persuasive technology, we see that primary task support elements are most commonly employed (mean 2.9 out of a possible 7.0). Dialogue support and social support are less commonly employed (mean 1.5 and 1.2 out of a possible 7.0, respectively). When comparing the interventions of the different health care areas, we find significant differences in intended usage (p=.004), setup (p<.001), updates (p<.001), frequency of interaction with a counselor (p<.001), the system (p=.003) and peers (p=.017), duration (F=6.068, p=.004), adherence (F=4.833, p=.010) and the number of primary task support elements (F=5.631, p=.005). Our final regression model explained 55% of the variance in adherence. In this model, a RCT study as opposed to an observational study, increased interaction with a counselor, more frequent intended usage, more frequent updates and more extensive employment of dialogue support significantly predicted better adherence. CONCLUSIONS: Using intervention characteristics and persuasive technology elements, a substantial amount of variance in adherence can be explained. Although there are differences between health care areas on intervention characteristics, health care area per se does not predict adherence. Rather, the differences in technology and interaction predict adherence. The results of this study can be used to make an informed decision about how to design a web-based intervention to which patients are more likely to adhere.

Online usability and patients with long-term conditions: a mixed-methods approach.

BACKGROUND: To improve the information position of health care consumers and to facilitate decision-making behavior in health the Dutch ministry of Health commissioned the National Institute for Public Health and the Environment to develop, host and manage a public national health and care portal (www.kiesbeter.nl) on the Internet. The portal is used by over 4 million visitors in 2010. Among them, an increasing amount of patients that use the portal for information and decision making on medical issues, healthy living, health care providers and other topics. OBJECTIVE: First objective is to examine what usability aspects of the portal kiesBeter.nl matter for chronic patients and their informal carers with regard to information seeking, self-management, decision making, on line health information and other variables. Second objective is to make evidence-based practical recommendations for usability improvement. METHODS: An innovative combination of techniques (semi-structured interviews; eHealth Literacy scale; scenario-based study using think-aloud protocol and screen capture software; focus group) is used to study usability and on line information seeking behavior in a non random judgment sample of three groups of patients (N=21) with long-term medical conditions (arthritis, asthma and diabetes). RESULTS: The search strategy mostly used (65%) by the relatively well-educated subjects is 'orienteering'. Users with long-term conditions and their carers expect tailored support from a national health portal, to help them navigate, search and find the detailed information they need. They encounter serious problems with these usability issues some of which are disease-specific. Patients indicate a need for personalized information. They report low impact on self-management and decision making. Overall judgment of usability is rated 7 on a Likert type 0-10 scale. Based on the outcomes recommendations could be formulated. These have led to major adaptations to improve usability. LIMITATIONS: A non-representative composition of a small non random judgment sample does not permit generalization to other populations and cognitive bias cannot be quantified. However if mixed methods are applied valid conclusions can be drawn with regard to usability issues.

Why business modeling is crucial in the development of eHealth technologies.

The impact and uptake of information and communication technologies that support health care are rather low. Current frameworks for eHealth development suffer from a lack of fitting infrastructures, inability to find funding, complications with scalability, and uncertainties regarding effectiveness and sustainability. These issues can be addressed by defining a better implementation strategy early in the development of eHealth technologies. A business model, and thus business modeling, help to determine such an implementation strategy by involving all important stakeholders in a value-driven dialogue on what the technology should accomplish. This idea also seems promising to eHealth, as it can contribute to the whole development of eHealth technology. We therefore suggest that business modeling can be used as an effective approach to supporting holistic development of eHealth technologies. The contribution of business modeling is elaborated in this paper through a literature review that covers the latest business model research, concepts from the latest eHealth and persuasive technology research, evaluation and insights from our prior eHealth research, as well as the review conducted in the first paper of this series. Business modeling focuses on generating a collaborative effort of value cocreation in which all stakeholders reflect on the value needs of the others. The resulting business model acts as the basis for implementation. The development of eHealth technology should focus more on the context by emphasizing what this technology should contribute in practice to the needs of all involved stakeholders. Incorporating the idea of business modeling helps to cocreate and formulate a set of critical success factors that will influence the sustainability and effectiveness of eHealth technology.

A holistic framework to improve the uptake and impact of eHealth technologies.

BACKGROUND: Many eHealth technologies are not successful in realizing sustainable innovations in health care practices. One of the reasons for this is that the current development of eHealth technology often disregards the interdependencies between technology, human characteristics, and the socioeconomic environment, resulting in technology that has a low impact in health care practices. To overcome the hurdles with eHealth design and implementation, a new, holistic approach to the development of eHealth technologies is needed, one that takes into account the complexity of health care and the rituals and habits of patients and other stakeholders. OBJECTIVE: The aim of this viewpoint paper is to improve the uptake and impact of eHealth technologies by advocating a holistic approach toward their development and eventual integration in the health sector. METHODS: To identify the potential and limitations of current eHealth frameworks (1999-2009), we carried out a literature search in the following electronic databases: PubMed, ScienceDirect, Web of Knowledge, PiCarta, and Google Scholar. Of the 60 papers that were identified, 44 were selected for full review. We excluded those papers that did not describe hands-on guidelines or quality criteria for the design, implementation, and evaluation of eHealth technologies (28 papers). From the results retrieved, we identified 16 eHealth frameworks that matched the inclusion criteria. The outcomes were used to posit strategies and principles for a holistic approach toward the development of eHealth technologies; these principles underpin our holistic eHealth framework. RESULTS: A total of 16 frameworks qualified for a final analysis, based on their theoretical backgrounds and visions on eHealth, and the strategies and conditions for the research and development of eHealth technologies. Despite their potential, the relationship between the visions on eHealth, proposed strategies, and research methods is obscure, perhaps due to a rather conceptual approach that focuses on the rationale behind the frameworks rather than on practical guidelines. In addition, the Web 2.0 technologies that call for a more stakeholder-driven approach are beyond the scope of current frameworks. To overcome these limitations, we composed a holistic framework based on a participatory development approach, persuasive design techniques, and business modeling. CONCLUSIONS: To demonstrate the impact of eHealth technologies more effectively, a fresh way of thinking is required about how technology can be used to innovate health care. It also requires new concepts and instruments to develop and implement technologies in practice. The proposed framework serves as an evidence-based roadmap.

A study of a Dutch online decision aid for parents of children with ADHD.

During a three-month study period, visitors to an online decision aid (DA) for attention deficit hyperactivity disorder (ADHD) were invited to complete an online questionnaire before and after working through the DA. Some 75,000 unique visitors found their way to the page on DAs, although fewer than 1 in 10 visited the DA for ADHD, staying there for about six minutes on average and using 8-9 clicks to navigate. A total of 195 people completed the first questionnaire (a response rate of about 3%). Only 12 of the respondents to the first questionnaire (6%) completed the second questionnaire. There was no significant effect of the DA as measured by three decisional outcome measures. Respondents moderately appreciated the information received. Even though the DA was constructed according to evidence-based guidelines and International Patient Decision Aids Standards wherein expert and patient involvement are assured, these preliminary results suggest that the online DA for ADHD needs further work to support the decision-making process of parents with regard to the most appropriate treatment for their child.