Cost-effectiveness of proactive health support-telephone-based self-management support compared with standard care for persons at risk of hospital admission.

BACKGROUND: A small share of patients account for a large proportion of costs to the healthcare system in Denmark as in many Western countries. A telephone-based self-management support, proactive health support (PaHS), was suggested for prevention of hospitalisations for persons at risk of hospital admission. These persons have chronic diseases, unplanned hospitalisations and age ≥ 65 years. However, evidence is limited on whether this type of intervention is cost-effective. AIM: The aim of this study was to assess the incremental cost-utility ratio (ICER) of PaHS, compared with standard care. METHODS: The economic evaluation was nested within a randomised controlled trial, and was based on a health system perspective, with follow-up and time horizon of 12 months. We measured incremental costs per quality-adjusted life years (QALY) gained. Total average costs per patient included PaHS programme costs, and costs in hospitals, primary care and municipalities. We analysed differences by generalised linear models with Gamma distribution for costs and mixed models for QALY. RESULTS: We analysed data on 6,139 patients, where 3,041 received PaHS and 3,098 received usual care. We found no difference in healthcare costs, and programme costs were on average €1,762 per patient, providing incremental costs of €2,075. Incremental effects on QALY were 0.007, resulting in an ICER of €296,389 per QALY gained. CONCLUSION: We found no evidence of PaHS being cost-effective in this study, but the results will be used to identify new ways to organise similar interventions and identify patients with the objective to reduce health system costs per patient.

Developing a Program Costs Checklist of Digital Health Interventions: A Scoping Review and Empirical Case Study.

INTRODUCTION: The rate of development and complexity of digital health interventions (DHIs) in recent years has to some extent outpaced the methodological development in economic evaluation and costing. Particularly, the choice of cost components included in intervention or program costs of DHIs have received scant attention. The aim of this study was to build a literature-informed checklist of program cost components of DHIs. The checklist was next tested by applying it to an empirical case, Mamma Mia, a DHI developed to prevent perinatal depression. METHOD: A scoping review with a structured literature search identified peer-reviewed literature from 2010 to 2022 that offers guidance on program costs of DHIs. Relevant guidance was summarized and extracted elements were organized into categories of main cost components and their associated activities following the standard three-step approach, that is, activities, resource use and unit costs. RESULTS: Of the 3448 records reviewed, 12 studies met the criteria for data extraction. The main cost categories identified were development, research, maintenance, implementation and health personnel involvement (HPI). Costs are largely considered to be context-specific, may decrease as the DHI matures and vary with number of users. The five categories and their associated activities constitute the checklist. This was applied to estimate program costs per user for Mamma Mia Self-Guided and Blended, the latter including additional guidance from public health nurses during standard maternal check-ups. Excluding research, the program cost per mother was more than double for Blended compared with Self-Guided (€140.5 versus €56.6, 2022 Euros) due to increased implementation and HPI costs. Including research increased the program costs to €190.8 and €106.9, respectively. One-way sensitivity analyses showed sensitivity to changes in number of users, lifespan of the app, salaries and license fee. CONCLUSION: The checklist can help increase transparency of cost calculation and improve future comparison across studies.

Estimating program or intervention costs of digital health interventions (DHIs) can be challenging without a checklist. We reviewed scientific literature to identify key cost categories of DHIs: development, research, maintenance, implementation and health personnel involvement. We also summarized relevant information regarding resource use and unit cost for each of the aforementioned categories. Applying this checklist to Mamma Mia, a DHI aimed at preventing perinatal depression, we find that the total cost per user for Mamma Mia Self-Guided is €106.9 and for Mamma Mia Blended is €190.8. Our checklist enhances visibility of DHI cost components and can aid analysts in better estimating costs for economic evaluations.

Introduction of hospital-based health technology assessment in China: experiences from seven pilot hospitals.

OBJECTIVES: This study aimed to introduce a pilot program for hospital-based health technology assessment (HB-HTA) in China and present the participants' experiences based on seven case studies from seven tertiary hospitals. METHODS: One-year pilot projects were initiated at the beginning of 2018. Seven pilot hospitals were closely followed from the beginning until the completion of their pilot HTA project. Regular interviews were conducted with the hospital managers leading the HB-HTA projects and key members of the special HTA teams. Observations were made based on field trips and written HTA reports. RESULTS: Three pilot projects evaluated the use of medical consumables, three evaluated the use of surgical or medical interventions, and one evaluated an innovative management model for ventilators. Real-world data were collected from all the pilot projects to assist with the assessments. Most HB-HTA pilot projects achieved remarkable results such as improvements in economic efficiency; however, there were also obvious deficiencies such as the lack of a necessary cost-effectiveness analysis. CONCLUSIONS: The results varied among the seven HB-HTA pilot projects. The HB-HTA pilot program was implemented to promote the use of HB-HTA in hospital decision making in China. At the same time, HB-HTA in China faces challenges. We have made some policy recommendations based on the findings of the pilot projects.

Telemedicine and the assessment of clinician time: a scoping review.

OBJECTIVES: Telemedicine may improve healthcare access and efficiency if it demands less clinician time than usual care. We sought to describe the degree to which telemedicine trials assess the effect of telemedicine on clinicians' time and to discuss how including the time needed to treat (TNT) in health technology assessment (HTA) could affect the design of telemedicine services and studies. METHODS: We conducted a scoping review by searching clinicaltrials.gov using the search term "telemedicine" and limiting results to randomized trials or observational studies registered between January 2012 and October 2023. We then reviewed trial registration data to determine if any of the outcomes assessed in the trials measured effect on clinicians' time. RESULTS: We found 113 studies and of these 78 studies of telemedicine met the inclusion criteria and were included. Nine (12 percent) of the 78 studies had some measure of clinician time as a primary outcome, and 11 (14 percent) as a secondary outcome. Four studies compared direct measures of TNT with telemedicine versus usual care, but no statistically significant difference was found. Of the sixteen studies including indirect measures of clinician time, thirteen found no significant effects, two found a statistically significant reduction, and one found a statistically significant increase. CONCLUSIONS: This scoping review found that clinician time is not commonly measured in studies of telemedicine interventions. Attention to telemedicine's TNT in clinical studies and HTAs of telemedicine in practice may bring attention to the organization of clinical workflows and increase the value of telemedicine.

Cost-effectiveness of 2-[18F]FDG-PET/CT versus CE-CT for response monitoring in patients with metastatic breast cancer: a register-based comparative study.

We evaluated the cost-effectiveness of 2-[18F]FDG-PET/CT compared to CE-CT for response monitoring in metastatic breast cancer (MBC) patients. The study included 300 biopsy-verified MBC patients treated at Odense University Hospital (Denmark). CE-CT was used in 144 patients, 83 patients underwent 2-[18F]FDG-PET/CT, and 73 patients received a combination of both. Hospital resource-based costs (2007-2019) were adjusted to the 2019 level. The incremental cost-effectiveness ratio (ICER) was calculated by comparing average costs per patient and gained survival with CE-CT. During a median follow-up of 33.0 months, patients in the 2-[18F]FDG-PET/CT group had more short admissions (median 6 vs. 2) and fewer overnight admissions (5 vs. 12) compared to the CE-CT group. The mean total cost per patient was €91,547 for CE-CT, €83,965 for 2-[18F]FDG-PET/CT, and €165,784 for the combined group. The ICER for 2-[18F]FDG-PET/CT compared to CE-CT was €-527/month, indicating gaining an extra month of survival at a lower cost (€527). 2-[18F]FDG-PET/CT was more cost-effective in patients with favorable prognostic factors (oligometastatic or estrogen receptor-positive disease), while CE-CT was more cost-effective in poor prognosis patients (liver/lung metastases or performance status ≥ 2 at baseline). In conclusion, our study suggests that 2-[18F]FDG-PET/CT is a cost-effective modality for response monitoring in metastatic breast cancer.

Value assessment of artificial intelligence in medical imaging: a scoping review.

BACKGROUND: Artificial intelligence (AI) is seen as one of the major disrupting forces in the future healthcare system. However, the assessment of the value of these new technologies is still unclear, and no agreed international health technology assessment-based guideline exists. This study provides an overview of the available literature in the value assessment of AI in the field of medical imaging. METHODS: We performed a systematic scoping review of published studies between January 2016 and September 2020 using 10 databases (Medline, Scopus, ProQuest, Google Scholar, and six related databases of grey literature). Information about the context (country, clinical area, and type of study) and mentioned domains with specific outcomes and items were extracted. An existing domain classification, from a European assessment framework, was used as a point of departure, and extracted data were grouped into domains and content analysis of data was performed covering predetermined themes. RESULTS: Seventy-nine studies were included out of 5890 identified articles. An additional seven studies were identified by searching reference lists, and the analysis was performed on 86 included studies. Eleven domains were identified: (1) health problem and current use of technology, (2) technology aspects, (3) safety assessment, (4) clinical effectiveness, (5) economics, (6) ethical analysis, (7) organisational aspects, (8) patients and social aspects, (9) legal aspects, (10) development of AI algorithm, performance metrics and validation, and (11) other aspects. The frequency of mentioning a domain varied from 20 to 78% within the included papers. Only 15/86 studies were actual assessments of AI technologies. The majority of data were statements from reviews or papers voicing future needs or challenges of AI research, i.e. not actual outcomes of evaluations. CONCLUSIONS: This review regarding value assessment of AI in medical imaging yielded 86 studies including 11 identified domains. The domain classification based on European assessment framework proved useful and current analysis added one new domain. Included studies had a broad range of essential domains about addressing AI technologies highlighting the importance of domains related to legal and ethical aspects.

Model for ASsessing the value of Artificial Intelligence in medical imaging (MAS-AI).

OBJECTIVES: Artificial intelligence (AI) is seen as a major disrupting force in the future healthcare system. However, the assessment of the value of AI technologies is still unclear. Therefore, a multidisciplinary group of experts and patients developed a Model for ASsessing the value of AI (MAS-AI) in medical imaging. Medical imaging is chosen due to the maturity of AI in this area, ensuring a robust evidence-based model. METHODS: MAS-AI was developed in three phases. First, a literature review of existing guides, evaluations, and assessments of the value of AI in the field of medical imaging. Next, we interviewed leading researchers in AI in Denmark. The third phase consisted of two workshops where decision makers, patient organizations, and researchers discussed crucial topics for evaluating AI. The multidisciplinary team revised the model between workshops according to comments. RESULTS: The MAS-AI guideline consists of two steps covering nine domains and five process factors supporting the assessment. Step 1 contains a description of patients, how the AI model was developed, and initial ethical and legal considerations. In step 2, a multidisciplinary assessment of outcomes of the AI application is done for the five remaining domains: safety, clinical aspects, economics, organizational aspects, and patient aspects. CONCLUSIONS: We have developed an health technology assessment-based framework to support the introduction of AI technologies into healthcare in medical imaging. It is essential to ensure informed and valid decisions regarding the adoption of AI with a structured process and tool. MAS-AI can help support decision making and provide greater transparency for all parties.

Prior to Implementation of Digital Pathology-Assessment of Expectations among Staff by Means of Normalization Process Theory.

The Region of Southern Denmark is the first in Denmark to implement digital pathology (DIPA), starting at the end of 2020. The DIPA process involves changes in workflow, and the pathologist will have to diagnose based on digital whole slide imaging instead of through the traditional use of the conventional light microscope and glass slides. In addition, in the laboratory, the employees will have to implement one more step to their workflow-scanning of tissue. The aim of our study was to assess the expectations and readiness among employees and management towards the implementation of DIPA, including their thoughts and motivations for starting to use DIPA. We used a mixed-method approach. Based on the findings derived from 18 semi-structured interviews with employees from the region's departments of pathology, we designed a questionnaire, including questions from the normalization measure development tool. The questionnaires were e-mailed to 181 employees. Of these employees, 131 responded to the survey. Overall, they reported feeling sufficiently tech-savvy to be able to use DIPA, and they had high expectations as well as motivation and readiness for the upcoming changes. However, the employees were skeptical regarding the allocation of resources, and few were aware of reports about the effects of DIPA. Based on the findings, it seems to be important to provide not only a thorough introduction to the new intervention and the changes it will entail, but also to continue to ensure that the staff know how it works and why it is necessary to implement.

A cost-minimization analysis comparing teledermoscopy and face-to-face evaluations of suspicious skin lesions in Southern Denmark.

INTRODUCTION: Skin cancers are common in European populations and generate considerable costs. In Denmark, patients with suspicious skin lesions will usually consult their general practitioner who may refer the patient to a dermatologist or plastic surgeon if necessary. However, it is also possible for the general practitioner to take and send dermoscopic and macroscopic photographs of the suspicious skin lesion for evaluation by a dermatologist, so-called teledermoscopy. This study aims to calculate and compare costs of teledermoscopy and standard care in the form of face-to-face evaluation by a dermatologist of suspicious skin lesions referred by general practitioners in the Region of Southern Denmark. METHODS: A cost-minimization study was performed. Investment costs, costs in general practice, hospital-associated costs and patient costs were included to calculate the average cost per patient episode. RESULTS: The overall cost of teledermoscopy was €17.2-€23.1 higher than that of standard care. However, hospital-associated costs and patient costs were reduced. DISCUSSION: The total cost of teledermoscopy was slightly higher than the cost of standard care. Sensitivity analyses indicated that the number of preventable face-to-face evaluations and the distance to the dermatologist were the two factors that influenced costs the most.

The hospital telemedicine TELEMED database: Providing information on evidence-based telemedicine services to hospital managers and healthcare professionals.

BACKGROUND: Increased use of telemedicine in the healthcare system is a political goal in Denmark. Although the number of hospital patients using interventions such as the video consultation has increased in recent years only a small proportion of the outpatient and inpatient visits involve telemedicine. The TELEMED database (https://telemedicine.cimt.dk/) has been launched at the Center for Innovative Medical Technology in Denmark to ensure that hospital managers and healthcare professionals have access to information about telemedicine services and their effectiveness. This article describes the development and the content of the TELEMED database. METHODS: A structured literature search was made in the PubMed Database for randomised controlled trials or observational studies with a control group that investigated the effect of telemedicine interventions for hospital patients. Data were extracted from each article on the clinical effectiveness, patient perceptions, economic effects and implementation challenges. As the database should only provide inspiration to healthcare professionals regarding possibilities for use of telemedicine, the risk of bias in the studies was not assessed. RESULTS: The literature search resulted in 2825 hits. Based on full text assessment, 331 articles were included for data extraction and assessment. These articles present telemedicine services used in 22 different medical specialities. Forty-eight percent of the studies found a positive, statistically significant clinical effect, while 47% showed no statistically significant difference. In 48% of the studies, patients' experiences were examined and of these 68% found positive patient experiences. Fifty-four percent of the articles included information on the economic effects and, of these, 51% found reduction in healthcare utilization. In the majority of studies between two and four types of implementation challenges were found.Conclusions and recommendations: The TELEMED database provides an easily accessible overview of existing evidence-based telemedicine services for use by hospital managers and health professionals, who whish to to implement telemedicine. The database is freely available and expected to be continuously improved and broadened over time.

Cost Analysis of a Dedicated Outpatient Clinic in Patients With Newly Diagnosed Atrial Fibrillation.

AIMS: The aim of this study was to assess healthcare utilization costs of a dedicated outpatient clinic for patients with atrial fibrillation (AF). METHODS: We conducted a registry-based retrospective study in patients with a first-time AF diagnosis from 2009 to 2011 (control group) and 2013 to 2015 (intervention group). The control group had physician-led usual care, and the intervention group received multidisciplinary care. The primary outcome was total costs of AF-related resource utilization. Exploratory outcomes were ischemic stroke, intracranial hemorrhage, and all-cause mortality. Multiple regression methods were used to control for confounders in the assessment of effects on outcomes. RESULTS: A total of 1552 patients were included, hereof 850 in the intervention group. Total AF-related costs were €2746 for the control group and €3154 for the intervention group, which was not statistically significant. Average outpatient costs were significantly higher in the control group than in the intervention group (€522 vs €344, respectively; P = .003). There was no difference in the number of AF-related hospital admissions and outpatient visits between the control group and the intervention group (incidence risk ratio, 1.03 vs 0.85; and 95% confidence interval, 0.92-1.16 vs 0.69-1.05, respectively). There was a trend toward reduced all-cause mortality (hazard ratio, 0.86; 95% confidence interval, 0.63-1.16) in the intervention group, which was not statistically significant. CONCLUSION: Total expenses for AF-related hospital resource utilization in the intervention group were higher, but the expenses for AF-related outpatient visits were significantly lower. There was a trend toward lower all-cause mortality in the intervention group, although the differences were not statistically significant. More research is needed investigating whether a multidisciplinary AF clinic is cost-effective.

Static overlays for pressure ulcer prevention: a hospital-based health technology assessment.

INTRODUCTION: At Odense University Hospital (OUH) alternating-air mattresses (AAM) are used in the prevention of pressure ulcers (PU); however, static overlays might be more effective and have lower costs. To investigate the properties and consequences of using static overlays for prevention of PU at OUH, a hospital-based health technology assessment (HTA) was conducted. METHODS: Two types of static overlays were tested in an observational study and compared with AAM for patients with a medium-high risk of PU in geriatric and orthopaedic wards at OUH. Incidence of PU was investigated 7 months before (n=720) and 6 months after implementation (n=837). Staff attitudes were examined in a questionnaire survey (n=55) and focus group interviews (n=13). Patients who had tried one of the overlays and the AAM were interviewed (n=12). RESULTS: No statistical difference in PU incidence was found before and after the implementation of overlays (2.5% before, 2.7% after, P=0.874, n=1557) and no patients lying on overlays developed PU (n=123). Staff had mixed attitudes, but the majority preferred having overlays as an option for their patients. Interviewed patients preferred overlays due to less noise and improved mobility. CONCLUSION: Both types of overlay are effective in PU prevention. However, overlays introduce challenges for staff and clear guidelines for the selection of support surfaces are needed. Overall, it is recommended that static overlays are considered as an alternative to AAM for PU prevention.

Proactive health support (PaHS) - telephone-based self-management support for persons at risk of hospital admission: Study protocol for a randomized controlled trial.

BACKGROUND: A small proportion of patients account for most of the healthcare costs. Previous studies of supportive interventions have several methodological limitations and results are mixed. This article describes the protocol for Proactive Health Support: a national randomized controlled trial of telephone-based self-management support (ClinicalTrials.gov, NCT03628469). The main aim of the intervention is to reduce hospital admissions and improve quality of life at six months. METHODS: A sample size of 4400 is needed and individuals with the highest risk of hospital admission in Denmark are invited by electronic communication and telephone to participate in a 1:1 randomized controlled trial. The intervention group receives one face-to-face start-up session followed by telephone sessions about individual goals regarding participants' knowledge, coping and need of healthcare. Quality of life was assessed with the mental health composite score of the SF-36v2 questionnaire. Primary analyses are done using the intention-to-treat principle. DISCUSSION: The trial has been approved by The Regional Committee on Health Research Ethics (SJ-677). Intervention nurses do not assume clinical responsibility for the participants and the intervention is an addition to the general healthcare services. The intervention is complex due to challenging skills and behaviors required by nurses, individual tailoring of the intervention, and interacting intervention components. The study therefore includes process evaluation. The research program comprises: 1. Development initiation, 2. Intervention effect, 3. Cost-effectiveness, 4. Organizational implementation, and 5. Participants' experiences. Inclusion to the trial began April 9th, 2018, was completed July 1st, 2019 and follow-up will be completed February 1st, 2020.

A Web-Based Communication Platform to Improve Home Care Services in Norway (DigiHelse): Pilot Study.

BACKGROUND: Home care service in Norway is struggling to meet the increasing demand for health care under restricted budget constraints, although one-fourth of municipal budgets are dedicated to health services. The integration of Web-based technology in at-home care is expected to enhance communication and patient involvement, increase efficiency and reduce cost. DigiHelse is a Web-based platform designed to reinforce home care service in Norway and is currently undergoing a development process to meet the predefined needs of the country's municipalities. Some of the main features of the platform are digital messages between residents and the home care service, highlighting information on planned and completed visits, the opportunity to cancel visits, and notifications for completed visits. OBJECTIVE: This study aimed to test the usability and economic feasibility of adopting DigiHelse in four districts in Oslo by applying registry and behavioral data collected throughout a one-year pilot study. Early health technology assessment was used to estimate the potential future value of DigiHelse, including the predictive value of behavior data. METHODS: Outcome measures identified by stakeholder insights and scenario drafting in the project's concept phase were used to assess potential socioeconomic benefits. Aggregated data were collected to assess changes in health consumption at baseline, and then 15 and 52 weeks after DigiHelse was implemented. The present value calculation was updated with data from four intervention groups and one control group. A quasi-experimental difference-in-difference design was applied to estimate the causal effect. Descriptive behavioral data from the digital platform was applied to assess the usability of the platform. RESULTS: Over the total study period (52 weeks), rates increased for all outcome estimates: the number of visits (rate ratio=1.04; P=.10), unnecessary trips (rate ratio=1.37; P=.26), and phone calls (rate ratio=1.24; P=.08). A significant gap was found between the estimated value of DigiHelse in the concept phase and after the one-year pilot. In the present pilot assessment, costs are expected to exceed potential savings by €67 million (US $75 million) over ten years, as compared to the corresponding concept estimates of a potential gain of €172.6 million (US $193.6 million). Interestingly, behavioral data from the digital platform revealed that only 3.55% (121/3405) of recipients actively used the platform after one year. CONCLUSIONS: Behavioral data provides a valuable source for assessing usability. In this pilot study, the low adoption rate may, at least in part, explain the inability of DigiHelse to perform as expected. This study points to an early assessment of behavioral data as an opportunity to identify inefficiencies and direct digital development. For DigiHelse, insight into why the recipients in Oslo have not made greater use of the Web-based platform seems to be the next step in ensuring the right improvement measures for the home care service.

Cost analysis of neonatal tele-homecare for preterm infants compared to hospital-based care.

INTRODUCTION: Neonatal homecare (NH) can be used to provide parents the opportunity of bringing cardiopulmonary-stable preterm infants home for tube feeding and the establishment of breastfeeding supported by neonatal nurses visiting the home. However, home visits can be challenging for hospitals covering large regions, and, therefore, regular neonatal hospital care has remained the first choice in Denmark. As an alternative to home visits, telehealth may be used to deliver NH. Thus, neonatal tele-homecare (NTH) was developed. Positive infant outcomes and the optimization of family-centred care have been described, but the costs of telehealth in the context of NH remain unknown. This study aims to assess the costs of NTH compared to regular neonatal hospital care, from the health service perspective. METHODS: The cost analysis was based on an observational study of NTH in Denmark (run from November 2015 to December 2016) and followed the Consolidated Health Economic Evaluation Reporting Standards. The intervention group were the families of preterm infants receiving NTH (n = 96). The control group comprised a historic cohort of families with preterm infants, receiving standard care in the neonatal intensive care unit (NICU) (n = 278). NTH infants and the historical group were categorized according to gestational age at birth at/under and over 32 weeks. The outcomes were NTH resource utilization, in-NICU hospital bed days, re-admissions and total costs on average per infant. The time horizon was from birth to discharge. RESULTS: The costs of NTH resource utilization were, on average, €695 per infant, and the total costs per infant, on average, were €12,200 and €4200 for infants at/under and over 32 weeks, respectively. The corresponding costs of the control group were €14,300 and €4400. The difference in total costs showed statistical significance for the group of infants under 32 weeks (p < 0.001). DISCUSSION: The cost analysis showed that NTH was less costly compared to regular hospital care, especially for infants born with gestational age at/under 32 weeks. NTH is an appropriate model of care for preterm infants and their families, is clinically effective and less expensive than similar services delivered in the hospital.

[Telemedicine projects in rural areas of Germany. A systematic evaluation with the "Model for Assessment of Telemedicine"]. / Telemedizinprojekte im ländlichen Raum Deutschlands. Eine systematische Bewertung mit dem "Modell zur Evaluation von telemedizinischen Anwendungen".

BACKGROUND: The term telemedicine describes the delivery of healthcare services through the use of information and communication technologies in a situation where the actors are at different locations. While telemedical applications are piloted in research projects in Germany, they have rarely become part of everyday care. In order to find indications as to why the transfer of knowledge into practice has so far been slow, it is necessary to examine telemedical projects for aspects of implementation science. METHODS: A systematic search looking for telemedical projects in Germany was conducted in the electronic databases PubMed, Web of Science and ACM Digital Library using a complex search strategy. The criteria and domains of the Model for Assessment of Telemedicine (MAST) were used to evaluate the publications. RESULTS: A total of 336 publications were identified, 16 of which were ultimately included in the analysis. Much of the work deals with stroke and the implementation of telemedicine networks. The analysis according to MAST shows that most publications omit essential considerations. CONCLUSION: Publications on telemedical projects are often characterized by unsystematic approaches. The MAST instrument identifies areas where the approaches to telemedical projects could be extended in the future to ensure the sustainability and feasibility of these prototypical telemedical applications.

Early assessment of innovation in a healthcare setting.

OBJECTIVES: Early assessment can assist in allocating resources for innovation effectively and produce the most beneficial technology for an institution. The aim of the present study was to identify methods and discuss the analytical approaches applied for the early assessment of innovation in a healthcare setting. METHODS: Knowledge synthesis based on a structured search (using the MEDLINE, Embase, and Cochrane databases) and thematic analysis was conducted. An analytical framework based on the stage of innovation (developmental, introduction, or early diffusion) was applied to assess whether methods vary according to stage. Themes (type of innovation, study, analysis, study design, method, and main target audience) were then decided among the authors. Identified methods and analysis were discussed according to the innovation stage. RESULTS: A total of 1,064 articles matched the search strategy. Overall, thirty-nine articles matched the inclusion criteria. The use of methods has a tendency to change according to the stage of innovation. Stakeholder analysis was a prominent method in the innovation stages and particularly in the developmental stage, as the introduction and early diffusion stage has more availability of data and may apply more complex methods. Barriers to the identified methods were also discussed as all of the innovation stages suffered from lack of data and substantial uncertainty. CONCLUSIONS: Although this review has identified applicable approaches for early assessment in different innovation stages, research is required regarding the value of the available data and methods and tools to enhance interactions between different parties at different stages of innovation.

A qualitative exploration of early assessment of innovative medical technologies.

BACKGROUND: Hospitals increasingly make decisions about early development of and investment in innovative medical technologies (IMTs), but at present often without an early assessment of their potential to ensure selection of the most promising candidates for further development. This paper explores how early assessment is carried out in different health organisations and then discusses relevant learning points for hospitals. METHODS: A qualitative study design with a structured interview guide covering four themes was used. Content analyses of interview notes were performed covering four predetermined themes: context, basis for decision-making, process and structure, and perceptions. A fifth theme, handling cognitive bias, was identified during data analysis. RESULTS: A total of 11 organisations participated; eight from the private health industry and three public hospitals. The interviews identified four areas in which early assessment is performed in similar manner across the studied organisations and four areas where differences exist between public hospitals and private organisations. Public hospitals indicate a lower degree of formalised early assessment and less satisfaction with how early assessment is performed, compared to private organisations. Based on the above findings, two learning points may carry promise for hospitals. First, having dedicated prioritising committees for IMTs making stop/go decisions. This committee is separate from the IMT development processes and involved staff. Secondly, the committee should base decisions on a transparent early assessment decision-support tool, which include a broad set of domains, is iterative, describes uncertainty, and minimise cognitive biases. CONCLUSIONS: Similarities and differences in the way early assessment is done in different health organisations were identified. These findings suggest promising learning points for the development of an early assessment model for hospitals.

TOWARD A CONTINGENCY MODEL FOR HOSPITAL-BASED HEALTH TECHNOLOGY ASSESSMENT: EVIDENCE FROM ADHOPHTA PROJECT.

OBJECTIVES: Hospital-based health technology assessment (HB-HTA) is becoming increasingly relevant because of its role in managing the introduction and withdrawal of health technologies. The organizational arrangement in which HB-HTA activities are conducted depends on several contextual factors, although the dominant models have several similarities. The aims of this study were to explore, describe, interpret, and explain seven cases of the application of HB-HTA logic and to propose a classification for HB-HTA organizational models which may be beneficial for policy makers and HTA professionals. METHODS: The study was part of the AdHopHTA Project, granted under the European 7th Framework Research Programme. A case study methodology was applied to analyze seven HB-HTA initiatives in seven countries, with collection of qualitative and quantitative data. Cross-case analysis was performed within the framework of contingent organizational theory. RESULTS: Evidence showed that some organizational or "structural" variables, namely the level of procedure formalization/structuration and the level of integration with other HTA bodies at the national, regional, and provincial levels, predominantly shape the HB-HTA approach, determining a contingency model of HB-HTA. Crossing the two variables, four options have emerged: integrated specialized HTA unit, stand-alone HTA unit, integrated-essential HTA, independent group unit. CONCLUSIONS: No one-best-way approach can be used for HTA at the hospital level. Rather, the characteristics of HTA models depend on many contextual factors. Such conceptualization may aid the diffusion of HB-HTA to inform managerial decision making and clinical practice.