Early-stage health technology assessment of fractional flow reserve coronary computed tomography versus standard diagnostics in patients with stable chest pain in The Netherlands.

OBJECTIVES: The aim of this early-stage Health Technology Assessment (HTA) was to assess the difference in healthcare costs and effects of fractional flow reserve derived from coronary computed tomography (FFRct) compared to standard diagnostics in patients with stable chest pain in The Netherlands. METHODS: A decision-tree model was developed to assess the difference in total costs from the hospital perspective, probability of correct diagnoses, and risk of major adverse cardiovascular events at one year follow-up. One-way sensitivity analyses were conducted to determine the main drivers of the cost difference between the strategies. A threshold analysis on the added price of FFRct analysis (computational analysis only) was conducted. RESULTS: The mean one-year costs were €2,680 per patient for FFRct and €2,915 per patient for standard diagnostics. The one-year probability of correct diagnoses was 0.78 and 0.61, and the probability of major adverse cardiovascular events was 1.92x10-5 and 0.01, respectively. The probability and costs of revascularization and the specificity of coronary computed tomography angiography had the greatest effect on the difference in costs between the strategies. The added price of FFRct analysis should be below €935 per patient to be considered the least costly option. CONCLUSIONS: The early-stage HTA findings suggest that FFRct may reduce total healthcare spending, probability of incorrect diagnoses, and major adverse cardiovascular events compared to current diagnostics for patients with stable chest pain in the Dutch healthcare setting over one year. Future cost-effectiveness studies should determine a value-based pricing for FFRct and quantify the economic value of the anticipated therapeutic impact.

Trust in and Acceptance of Artificial Intelligence Applications in Medicine: Mixed Methods Study.

BACKGROUND: Artificial intelligence (AI)-powered technologies are being increasingly used in almost all fields, including medicine. However, to successfully implement medical AI applications, ensuring trust and acceptance toward such technologies is crucial for their successful spread and timely adoption worldwide. Although AI applications in medicine provide advantages to the current health care system, there are also various associated challenges regarding, for instance, data privacy, accountability, and equity and fairness, which could hinder medical AI application implementation. OBJECTIVE: The aim of this study was to identify factors related to trust in and acceptance of novel AI-powered medical technologies and to assess the relevance of those factors among relevant stakeholders. METHODS: This study used a mixed methods design. First, a rapid review of the existing literature was conducted, aiming to identify various factors related to trust in and acceptance of novel AI applications in medicine. Next, an electronic survey including the rapid review-derived factors was disseminated among key stakeholder groups. Participants (N=22) were asked to assess on a 5-point Likert scale (1=irrelevant to 5=relevant) to what extent they thought the various factors (N=19) were relevant to trust in and acceptance of novel AI applications in medicine. RESULTS: The rapid review (N=32 papers) yielded 110 factors related to trust and 77 factors related to acceptance toward AI technology in medicine. Closely related factors were assigned to 1 of the 19 overarching umbrella factors, which were further grouped into 4 categories: human-related (ie, the type of institution AI professionals originate from), technology-related (ie, the explainability and transparency of AI application processes and outcomes), ethical and legal (ie, data use transparency), and additional factors (ie, AI applications being environment friendly). The categorized 19 umbrella factors were presented as survey statements, which were evaluated by relevant stakeholders. Survey participants (N=22) represented researchers (n=18, 82%), technology providers (n=5, 23%), hospital staff (n=3, 14%), and policy makers (n=3, 14%). Of the 19 factors, 16 (84%) human-related, technology-related, ethical and legal, and additional factors were considered to be of high relevance to trust in and acceptance of novel AI applications in medicine. The patient's gender, age, and education level were found to be of low relevance (3/19, 16%). CONCLUSIONS: The results of this study could help the implementers of medical AI applications to understand what drives trust and acceptance toward AI-powered technologies among key stakeholders in medicine. Consequently, this would allow the implementers to identify strategies that facilitate trust in and acceptance of medical AI applications among key stakeholders and potential users.

Early modelling of the effects and healthcare costs of the Dutch citizen-rescuer system for out-of-hospital cardiac arrests.

OBJECTIVES: 1) to analyse the total average healthcare costs of a patient with an out-of-hospital cardiac arrest (OHCA), as well as estimating the operational costs of the citizen-rescuer system (CRS); 2) to conduct an early modelling of the effects and healthcare costs of the Dutch CRS in comparison to no CRS. METHODS: A health economic modelling study was conducted. Adult patients with OHCA from cardiac causes in the province of Limburg (the Netherlands) were included. The time horizon was from OHCA occurrence up to one year after hospital discharge. First, the total average healthcare costs of OHCA patients were analysed as well as the yearly operating costs of the CRS. Second, an early modelling was conducted to compare from the healthcare perspective the healthcare costs of OHCA patients with the CRS being activated but no responders attended (CRS-NV) versus the CRS being activated with attendance of ≥1 responder(s) (CRS-V). RESULTS: The total average healthcare costs per patient are €42,533. The yearly operating costs for the CRS are approximately €1.5 million per year in the Netherlands. The early modelling of costs and effects showed that the incremental healthcare costs per patient thus were €4,131 in the CRS-V versus the CRS-NV group (€25,184 in the CRS-V group and €21,053 in the CRS-NV group). Incremental quality-adjusted life years (QALYs) was 5 per 100 patients (16 per 100 patients in the CRS-V group versus 11 per 100 patients in the CRS-NV group). The incremental cost-effectiveness ratio (ICER) was €79,662 per QALY for the CRS-V group. CONCLUSION: This study shows that patients in the CSR-V group had additional health care costs of €4,131 per patient compared to patients in the CRS-NV group. This increase is caused by patients surviving more often, who then continue to utilise health services, which results in a (logic) increase in healthcare costs. For future research, accurate and up-to-date data on effectiveness and costs of the CRS needs to be collected.

Cost-effectiveness analysis of implementing screening on preterm pre-eclampsia at first trimester of pregnancy in Germany and Switzerland.

OBJECTIVE: To assess the cost-effectiveness of preterm preeclampsia (PE) screening versus routine screening based on maternal characteristics in Germany and Switzerland. METHODS: A health economic model was used to analyse the cost-effectiveness of PE screening versus routine screening based on maternal characteristics. The analysis was conducted from the healthcare perspective with a time horizon of one year from the start of pregnancy. The main outcome measures were incremental health care costs and incremental costs per PE case averted. RESULTS: The incremental health care costs for PE screening versus routine screening per woman were €14 in Germany, and -CHF42 in Switzerland, the latter representing cost savings. In Germany, the incremental costs per PE case averted were €3,795. In Switzerland, PE screening was dominant. The most influential parameter in the one-way sensitivity analysis was the cost of PE screening (Germany) and the probability of preterm PE in routine screening (Switzerland). In Germany, at a willingness-to-pay for one PE case avoided of €4,200, PE screening had a probability of more than 50% of being cost-effective compared to routine screening. In Switzerland, at a willingness-to-pay of CHF0, PE screening had a 78% probability of being the most cost-effective screening strategy. CONCLUSION: For Switzerland, PE screening is expected to be cost saving in comparison to routine screening. For Germany, the additional health care costs per woman were expected to be €14. Future cost-effectiveness studies should be conducted with a longer time horizon.

Patient perspectives of the Self-management and Educational Technology tool for Atrial Fibrillation (SETAF): A mixed-methods study in Singapore.

BACKGROUND: Atrial fibrillation (AF) is the most common arrythmia and is associated with costly morbidity such as stroke and heart failure. Mobile health (mHealth) has potential to help bridge the gaps of traditional healthcare models that may be poorly suited to the sporadic nature of AF. The Self-management and Educational technology support Tool for AF patients (SETAF) was designed based on the preferences and needs of AF patients but more study is required to assess the acceptance of this novel tool. OBJECTIVE: Explore the usability and acceptance of SETAF among AF patients in Singapore. METHODS: A mixed methods study was conducted with AF patients who were purposively sampled from an outpatient cardiology clinic in Singapore. After 6 weeks of using SETAF, semi-structured interviews were performed, and data were analyzed inductively following a thematic analysis approach. Results from a short 4-item survey and application usage data were also analyzed descriptively. Both qualitative and quantitative results were organized and presented following the Technology Acceptance Model (TAM) framework. RESULTS: A total of 37 patients participated in the study and 19 were interviewed. Participants perceived SETAF as useful for improving AF knowledge, self-management and access to healthcare providers and was easy to use due to the guided tutorial and user-friendly interface. They also identified the need for better personalization of content, psychosocial support features and reduction of language barriers. Application usage data revealed preference for AF related content and decreased interaction with the motivational message component of SETAF over time. Overall, most of the participants would continue using SETAF and were willing to pay for it. CONCLUSIONS: AF patients in Singapore found SETAF useful and acceptable as a tool for AF management. The insights from this study not only support the potential of mHealth but may also inform the design and implementation of future mHealth tools for AF patients.

Optimising Integrated Stroke Care in Regional Networks: A Nationwide Self-Assessment Study in 2012, 2015 and 2019.

BACKGROUND: To help enhance the quality of integrated stroke care delivery, regional stroke services networks in the Netherlands participated in a self-assessment study in 2012, 2015 and 2019. METHODS: Coordinators of the regional stroke services networks filled out an online self-assessment questionnaire in 2012, 2015 and 2019. The questionnaire, which was based on the Development Model for Integrated Care, consisted of 97 questions in nine clusters (themes). Cluster scores were calculated as proportions of the activities implemented. Associations between clusters and features of stroke services were assessed by regression analysis. RESULTS: The response rate varied from 93.1% (2012) to 85.5% (2019). Over the years, the regional stroke services networks increased in 'size': the median number of organisations involved and the volume of patients per network increased (7 and 499 in 2019, compared to 5 and 364 in 2012). At the same time, fewer coordinators were appointed for more than 1 day a week in 2019 (35.1%) compared to 2012 (45.9%). Between 2012 and 2019, there were statistically significantly more elements implemented in four out of nine clusters: 'Transparent entrepreneurship' (MD = 18.0% F(1) = 10.693, p = 0.001), 'Roles and tasks' (MD = 14.0% F(1) = 9.255, p = 0.003), 'Patient-centeredness' (MD = 12.9% F(1) = 9.255, p = 0.003), and 'Commitment' (MD = 11.2%, F(1) = 4.982, p = 0.028). A statistically significant positive correlation was found for all clusters between implementation of activities and age of the network. In addition, the number of involved organisations is associated with better execution of implemented activities for 'Transparent entrepreneurship', 'Result-focused learning' and 'Quality of care'. Conversely, there are small but negative associations between the volume of patients and implementation rates for 'Interprofessional teamwork' and 'Patient-centredness'. CONCLUSION: This long-term analyses of stroke service development in the Netherlands, showed that between 2012 and 2019, integrated care activities within the regional stroke networks increased. Experience in collaboration between organisations within a network benefits the uptake of integrated care activities.

Assessment of the implementation fidelity of a strategy to scale up integrated care in five European regions: a multimethod study.

OBJECTIVE: The SCaling IntegRated Care in COntext (SCIROCCO) project tested a step-based scaling up strategy to explore what and how to scale up integrated care initiatives in five European regions. To gain a profound understanding of which factors influence the implementation of this strategy, the objective of this study was to assess the extent to which the SCIROCCO strategy was implemented as planned. DESIGN: Multimethod study. METHODS: The extended version of the conceptual framework for implementation fidelity was used to evaluate what factors influence the implementation of the scaling up strategy. Data were collected in the five participating European regions during the intervention period. Data collection methods included: key informant interviews, focus groups, questionnaire studies and project documents. RESULTS: All three main steps of the scaling up strategy were implemented with acceptable fidelity. Variations were observed in the duration of implementing the steps in the regions. Also, variations were observed in the coverage of experts to participate in the steps of the strategy. Several factors were observed to influence the implementation: facilitation conditions (ie, good coordination for implementation) and participant responsiveness (ie, a positive experience of participants in the organised study visits). Factors that may have moderated adherence to the original plan of the strategy were found in facilitating conditions (ie, in the flexible approach), participant recruitment factors (ie, adaptions of the procedure by the regions) and contextual factors (ie, the level of development of integrated care). CONCLUSION: This was the first study to assess implementation fidelity of a European project that used a step-based scaling up strategy in five European regions. Similar European projects that are based on collaboration between several European regions can learn from the lessons captured in SCIROCCO and can become more aware of the facilitating factors and pitfalls of implementing such projects.

Value of information analysis in telehealth for chronic heart failure management.

OBJECTIVES: Value of information (VOI) analysis provides information on opportunity cost of a decision in healthcare by estimating the cost of reducing parametric uncertainty and quantifying the value of generating additional evidence. This study is an application of the VOI methodology to the problem of choosing between home telemonitoring and nurse telephone support over usual care in chronic heart failure management in the Netherlands. METHODS: The expected value of perfect information (EVPI) and the expected value of partially perfect information (EVPPI) analyses were based on an informal threshold of €20K per quality-adjusted life-year. These VOI-analyses were applied to a probabilistic Markov model comparing the 20-year costs and effects in three interventions. The EVPPI explored the value of decision uncertainty caused by the following group of parameters: treatment-specific transition probabilities between New York Heart Association (NYHA) defined disease states, utilities associated with the disease states, number of hospitalizations and ER visits, health state specific costs, and the distribution of patients per NYHA group. We performed the analysis for two population sizes in the Netherlands-patients in all NYHA classes of severity, and patients in NYHA IV class only. RESULTS: The population EVPI for an effective population of 2,841,567 CHF patients in All NYHA classes of severity over the next 20 years is more than €4.5B, implying that further research is highly cost-effective. In the NYHA IV only analysis, for the effective population of 208,003 patients over next 20 years, the population EVPI at the same informal threshold is approx. €590M. The EVPPI analysis showed that the only relevant group of parameters that contribute to the overall decision uncertainty are transition probabilities, in both All NYHA and NYHA IV analyses. CONCLUSIONS: Results of our VOI exercise show that the cost of uncertainty regarding the decision on reimbursement of telehealth interventions for chronic heart failure patients is high in the Netherlands, and that future research is needed, mainly on the transition probabilities.

Cost-Effectiveness Analysis in Telehealth: A Comparison between Home Telemonitoring, Nurse Telephone Support, and Usual Care in Chronic Heart Failure Management.

OBJECTIVES: To assess the cost effectiveness of home telemonitoring (HTM) and nurse telephone support (NTS) compared with usual care (UC) in the management of patients with chronic heart failure, from a third-party payer's perspective. METHODS: We developed a Markov model with a 20-year time horizon to analyze the cost effectiveness using the original study (Trans-European Network-Home-Care Management System) and various data sources. A probabilistic sensitivity analysis was performed to assess the decision uncertainty in our model. RESULTS: In the original scenario (which concerned the cost inputs at the time of the original study), HTM and NTS interventions yielded a difference in quality-adjusted life-years (QALYs) gained compared with UC: 2.93 and 3.07, respectively, versus 1.91. An incremental net monetary benefit analysis showed €7,697 and €13,589 in HTM and NTS versus UC at a willingness-to-pay (WTP) threshold of €20,000, and €69,100 and €83,100 at a WTP threshold of €80,000, respectively. The incremental cost-effectiveness ratios were €12,479 for HTM versus UC and €8,270 for NTS versus UC. The current scenario (including telenurse cost inputs in NTS) yielded results that were slightly different from those for the original scenario, when comparing all New York Heart Association (NYHA) classes of severity. NTS dominated HTM, compared with UC, in all NYHA classes except NYHA IV. CONCLUSIONS: This modeling study demonstrated that HTM and NTS are viable solutions to support patients with chronic heart failure. NTS is cost-effective in comparison with UC at a WTP of €9000/QALY or higher. Like NTS, HTM improves the survival of patients in all NYHA classes and is cost-effective in comparison with UC at a WTP of €14,000/QALY or higher.

The theoretical and empirical basis of a BioPsychoSocial (BPS) risk screener for detection of older people's health related needs, planning of community programs, and targeted care interventions.

BACKGROUND: This study introduces the conceptual basis and operational measure, of BioPyschoSocial (BPS) health and related risk to better understand how well older people are managing and to screen for risk status. The BPS Risk Screener is constructed to detect vulnerability at older ages, and seeks to measure dynamic processes that place equal emphasis on Psycho-emotional and Socio-interpersonal risks, as Bio-functional ones. We validate the proposed measure and describe its application to programming. METHODS: We undertook a quantitative cross-sectional, psychometric study with n = 1325 older Singaporeans, aged 60 and over. We adapted the EASYCare 2010 and Lubben Social Network Scale questionnaires to help determine the BPS domains using factor analysis from which we derive the BPS Risk Screener items. We then confirm its structure, and test the scoring system. The score is initially validated against self-reported general health then modelled against: number of falls; cognitive impairment; longstanding diseases; and further tested against service utilization (linked administrative data). RESULTS: Three B, P and S clusters are defined and identified and a BPS managing score ('doing' well, or 'some', 'many', and 'overwhelming problems') calculated such that the risk of problematic additive BPS effects, what we term health 'loads', are accounted for. Thirty-five items (factor loadings over 0.5) clustered into three distinct B, P, S domains and were found to be independently associated with self-reported health: B: 1.99 (1.64 to 2.41), P: 1.59 (1.28 to 1.98), S: 1.33 (1.10 to 1.60). The fit improved when combined into the managing score 2.33 (1.92 to 2.83, < 0.01). The score was associated with mounting risk for all outcomes. CONCLUSIONS: BPS domain structures, and the novel scoring system capturing dynamic BPS additive effects, which can combine to engender vulnerability, are validated through this analysis. The resulting tool helps render clients' risk status and related intervention needs transparent. Given its explicit and empirically supported attention to P and S risks, which have the potential to be more malleable than B ones, especially in the older old, this tool is designed to be change sensitive.

Assessment of a Business-to-Consumer (B2C) model for Telemonitoring patients with Chronic Heart Failure (CHF).

BACKGROUND: The purpose of this study is to assess the Business-to-Consumer (B2C) model for telemonitoring patients with Chronic Heart Failure (CHF) by analysing the value it creates, both for organizations or ventures that provide telemonitoring services based on it, and for society. METHODS: The business model assessment was based on the following categories: caveats, venture type, six-factor alignment, strategic market assessment, financial viability, valuation analysis, sustainability, societal impact, and technology assessment. The venture valuation was performed for three jurisdictions (countries) - Singapore, the Netherlands and the United States - in order to show the opportunities in a small, medium-sized, and large country (i.e. population). RESULTS: The business model assessment revealed that B2C telemonitoring is viable and profitable in the Innovating in Healthcare Framework. Analysis of the ecosystem revealed an average-to-excellent fit with the six factors. The structure and financing fit was average, public policy and technology alignment was good, while consumer alignment and accountability fit was deemed excellent. The financial prognosis revealed that the venture is viable and profitable in Singapore and the Netherlands but not in the United States due to relatively high salary inputs. CONCLUSIONS: The B2C model in telemonitoring CHF potentially creates value for patients, shareholders of the service provider, and society. However, the validity of the results could be improved, for instance by using a peer-reviewed framework, a systematic literature search, case-based cost/efficiency inputs, and varied scenario inputs.

The impact of redesigning care processes on quality of care: a systematic review.

BACKGROUND: This literature review evaluates the current state of knowledge about the impact of process redesign on the quality of healthcare. METHODS: Pubmed, CINAHL, Web of Science and Business Premier Source were searched for relevant studies published in the last ten years [2004-2014]. To be included, studies had to be original research, published in English with a before-and-after study design, and be focused on changes in healthcare processes and quality of care. Studies that met the inclusion criteria were independently assessed for excellence in reporting by three reviewers using the SQUIRE checklist. Data was extracted using a framework developed for this review. RESULTS: Reporting adequacy varied across the studies. Process redesign interventions were diverse, and none of the studies described their effects on all dimensions of quality defined by the Institute of Medicine. CONCLUSIONS: The results of this systematic literature review suggests that process redesign interventions have positive effects on certain aspects of quality. However, the full impact cannot be determined on the basis of the literature. A wide range of outcome measures were used, and research methods were limited. This review demonstrates the need for further investigation of the impact of redesign interventions on the quality of healthcare.

Personnel planning in general practices: development and testing of a skill mix analysis method.

BACKGROUND: General practitioners (GPs) have to match patients' demands with the mix of their practice staff's competencies. However, apart from some general principles, there is little guidance on recruiting new staff. The purpose of this study was to develop and test a method which would allow GPs or practice managers to perform a skill mix analysis which would take into account developments in local demand. METHODS: The method was designed with a stepwise method using different research strategies. Literature review took place to detect available methods that map, predict, or measure patients' demands or needs and to fill the contents of the skill mix analysis. Focus groups and expert interviews were held both during the design process and in the first test stage. Both secondary data analysis as primary data collection took place to fill the contents of the tool. A pilot study in general practices tested the feasibility of the newly-developed method. RESULTS: The skill mix analysis contains both a quantitative and a qualitative part which includes the following sections: (i) an analysis of the current and the expected future demand; (ii) an analysis of the need to adjust skill mix; (iii) an overview about the functions of different provider disciplines; and (iv) a system to assess the input, assumed or otherwise, of each function concerning the 'catching up demand', the connection between supply and demand, and the introduction of new opportunities. The skill mix analysis shows an acceptable face and content validity and appears feasible in practice. CONCLUSIONS: The skill mix analysis method can be used as a basis to analyze and match, systematically, the demand for care and the supply of practice staff.

Detected health and well-being problems following comprehensive geriatric assessment during a home visit among community-dwelling older people: who benefits most?

BACKGROUND: Preventive home visits including comprehensive geriatric assessment for potentially frail older people are increasingly implemented in general practice. It remains unclear how to select older people who benefit most from it. OBJECTIVES: To determine which community-dwelling older people benefit most from a comprehensive geriatric assessment by a practice nurse during a home visit in terms of detected problems. METHODS: A cross-sectional study in 45 general practices in the Netherlands. Practice nurses visited 562 randomly selected older people (aged ≥ 75 years) and 1180 purposefully selected based on the following criteria: last visit to general practice >6 months ago; partner or child(ren) deceased within past 12 months; cognitive or psychosocial functioning unknown to GP; ≥2 chronic conditions; uses ≥5 medications and/or living alone. RESULTS: Mean age of older people was 82.50 years, 65.50% was female. More problems were detected among women, higher age groups, those living alone and the less educated (all P < 0.001). Overall, more problems were detected in purposefully selected older people than in randomly selected older people (P < 0.001). Selection of older people with ≥2 chronic conditions and those using ≥5 medications resulted in more detected problems in general (both P < 0.05). CONCLUSION: Although the findings are in favour of purposeful selection, observed differences in detected problems between the two selection procedures are relatively small. GPs should at least target older people with ≥2 chronic conditions, using ≥5 medications, being female, of an older age, living alone and the less educated.

Factors influencing acceptance of technology for aging in place: a systematic review.

PURPOSE: To provide an overview of factors influencing the acceptance of electronic technologies that support aging in place by community-dwelling older adults. Since technology acceptance factors fluctuate over time, a distinction was made between factors in the pre-implementation stage and factors in the post-implementation stage. METHODS: A systematic review of mixed studies. Seven major scientific databases (including MEDLINE, Scopus and CINAHL) were searched. Inclusion criteria were as follows: (1) original and peer-reviewed research, (2) qualitative, quantitative or mixed methods research, (3) research in which participants are community-dwelling older adults aged 60 years or older, and (4) research aimed at investigating factors that influence the intention to use or the actual use of electronic technology for aging in place. Three researchers each read the articles and extracted factors. RESULTS: Sixteen out of 2841 articles were included. Most articles investigated acceptance of technology that enhances safety or provides social interaction. The majority of data was based on qualitative research investigating factors in the pre-implementation stage. Acceptance in this stage is influenced by 27 factors, divided into six themes: concerns regarding technology (e.g., high cost, privacy implications and usability factors); expected benefits of technology (e.g., increased safety and perceived usefulness); need for technology (e.g., perceived need and subjective health status); alternatives to technology (e.g., help by family or spouse), social influence (e.g., influence of family, friends and professional caregivers); and characteristics of older adults (e.g., desire to age in place). When comparing these results to qualitative results on post-implementation acceptance, our analysis showed that some factors are persistent while new factors also emerge. Quantitative results showed that a small number of variables have a significant influence in the pre-implementation stage. Fourteen out of the sixteen included articles did not use an existing technology acceptance framework or model. CONCLUSIONS: Acceptance of technology in the pre-implementation stage is influenced by multiple factors. However, post-implementation research on technology acceptance by community-dwelling older adults is scarce and most of the factors in this review have not been tested by using quantitative methods. Further research is needed to determine if and how the factors in this review are interrelated, and how they relate to existing models of technology acceptance.

Cost-effectiveness of telehealth interventions for chronic heart failure patients: a literature review.

OBJECTIVES: Evidence exists that telehealth interventions (e.g., telemonitoring, telediagnostics, telephone care) in disease management for chronic heart failure patients can improve medical outcomes, and we aim to give an overview of the cost-effectiveness of these interventions. METHODS: Based on the literature search on "heart failure" in combination with "cost" and "telehealth" we selected 301 titles and abstracts. Titles and abstracts were screened for a set of inclusion criteria: telehealth intervention, heart failure as the main disease, economic analysis present and a primary study performed. In the end, thirty-two studies were included for full reading, data extraction, and critical appraisal of the economic evaluation. RESULTS: Most studies did not present a comprehensive economic evaluation, consisting of the comparison of both costs and effects between telehealth intervention and a comparator. Data on telehealth investment costs were lacking in many studies. The few studies that assessed costs and consequences comprehensively showed that telehealth interventions are cost saving with slight improvement in effectiveness, or comparably effective with similar cost to usual care. However, the methodological quality of the studies was in general considered to be low. CONCLUSIONS: The cost-effectiveness of telehealth in chronic heart failure is hardly ascertained in peer reviewed literature, the quality of evidence is poor and there was a difficulty in capturing all of the consequences/effects of telehealth intervention. We believe that without full economic analyses the cost-effectiveness of telehealth interventions in chronic heart failure remains unknown.

Valuation of EQ-5D-3L health states in Singapore: modeling of time trade-off values for 80 empirically observed health states.

OBJECTIVE: The aim of this study was to establish an EQ-5D-3L value set using the time trade-off (TTO) method to elicit the health preferences of the general Singaporean population. METHODS: The values of 80 EQ-5D-3L health states were elicited from a general Singaporean population sample using a TTO method. In face-to-face interviews, participants were asked to value a block of ten health states. Various linear regression models were examined to assess for goodness of fit to the data, at both aggregate and individual levels. Prediction precision was assessed in terms of mean absolute error (MAE), and numbers of prediction errors larger than 0.10 and 0.20. Prediction consistency and bias were also assessed. RESULTS: A total of 456 participants provided data for this study. The N3 model without a constant estimated using the aggregate data exhibited the best fit of the data, predicted values with the least bias, and generated logically consistent values for all 243 EQ-5D-3L health states. The MAE was 0.1137, and 35 of 80 predicted values had errors less than 0.10 in absolute magnitude. Based on this model, the utility values ranged from 0.854 for state 11121 to -0.769 for state 33333. CONCLUSIONS: The EQ-5D-3L value set can be estimated using the TTO method in the multi-cultural, multi-ethnic Singapore. Although the estimation precision is not optimal, the health-state preference values generated in this study are useful to health service researchers in the country before estimates with smaller errors are available.

Cost-effectiveness analysis of telemonitoring versus usual care in patients with heart failure: the TEHAF-study.

We examined the incremental cost-effectiveness of telemonitoring (TM) versus usual care (UC) in patients with congestive heart failure (CHF). In one university and two general hospitals, 382 patients were randomised to usual care or telemonitoring and followed for 1 year. Hospital-related and home costs were estimated, based on resource use multiplied by the appropriate unit prices. Effectiveness was expressed as QALYs gained. Information was gathered, using 3 monthly costs diaries and questionnaires. The mean age of the patients was 71 years (range 32-93), 59% were male and 64% lived with a partner. Health related quality of life improved by 0.07 points for the usual care and 0.1 points for the telemonitoring group, but the difference between groups was not significant. There were no significant differences in annual costs per patient between groups. At a threshold of €50,000 the probability of telemonitoring being cost-effective was 48%. The cost effectiveness analysis showed a high level of decision uncertainty, probably caused by the divergence between the participating institutions. It is therefore premature to draw an unambiguous conclusion regarding cost-effectiveness for the whole group.

Quality improvement of nurse-led aftercare to outpatients with coronary heart disease: report of a case study.

QUALITY ISSUE: Improving preventive care for patients with coronary disease can be difficult to implement effectively with available resources. Assessing the implementation of a new improvement program can also be challenging when resources are constrained. INITIAL ASSESSMENT: In 2006, a nurse-led outpatient clinic was introduced in the hospital. CHOICE OF SOLUTION: The use of quality indicators (QIs), interviews and regular meetings to enable ongoing assessment of the success of implementation. IMPLEMENTATION: Quality improvement was promoted by providing regular reports on QIs to the CARDIOCARE Steering and Working group. Interviews with stakeholders were held, medical records were investigated and minutes of meetings were analyzed. The main change in CARDIOCARE concerned the targeted patient group. EVALUATION: CARDIOCARE performed well in meeting requirements of quality such as clinical effectiveness. There is, however, still room for improvement and some new QIs should be considered by stakeholders; for example, better registration of risk factors is needed. LESSONS LEARNED: An initial period of time is necessary to examine whether QIs stated in the care protocol are realistic in clinical practice and whether it is feasible to collect data about these criteria. Stakeholders should communicate about these indicators on a regular basis. A Plan-Do-Check-Act cycle is needed in order to improve care processes and performance. In addition, systematic administration of data about indicators is required. For nurse-led outpatient secondary prevention, it is advisable to appoint a single nurse as a case manager who is responsible for checking the registration of QIs and their evaluation.

Early results from adoption of bundled payment for diabetes care in the Netherlands show improvement in care coordination.

In 2010 a bundled payment system for diabetes care, chronic obstructive pulmonary disease care, and vascular risk management was introduced in the Netherlands. Health insurers now pay a single fee to a contracting entity, the care group, to cover all of the primary care needed by patients with these chronic conditions. The initial evaluation of the program indicated that it improved the organization and coordination of care and led to better collaboration among health care providers and better adherence to care protocols. Negative consequences included dominance of the care group by general practitioners, large price variations among care groups that were only partially explained by differences in the amount of care provided, and an administrative burden caused by outdated information and communication technology systems. It is too early to draw conclusions about the effects of the new payment system on the quality or the overall costs of care. However, the introduction of bundled payments might turn out to be a useful step in the direction of risk-adjusted integrated capitation payments for multidisciplinary provider groups offering primary and specialty care to a defined group of patients.