In aging populations, multimorbidity (two or more chronic diseases in the same person [1, 2] is very common [3-5]. Patients with multimorbidity have complex health and social needs, are at risk of being admitted to the hospital or residential care home and require a wide range of interventions [6]. To satisfy the needs of these patients and their families, new innovative integrated care models are needed. To be effective, they should have primary care as the cornerstone of care [7]; effective integration between care levels [8, 9]; empowered patient´ and carers/families' [8]; and it should be patient-centered. The use of information and communication technology (ICT) platforms could
Background Older patients with multimorbidity have complex health and social care needs, associated with elevated use of health care resources. The aim of this study is to evaluate the impact of CareWell integrated care model for older patients with multimorbidity in the Basque Country. Methods The CareWell program for older patients with multimorbidity, based on the coordination between health providers, home-based care and patient empowerment, supported by information and communication technology tools. The program was deployed in four healthcare areas in the Basque Country. The control group was formed by two organizations in which the program had not been deployed and regular care procedures were applied. Participants, older patients (aged ≥65) with two or more chronic conditions (at least one being chronic obstructive pulmonary disease, chronic heart failure, or diabetes mellitus), categorized as complex according to a risk stratification algorithm, were followed up to 12 months. The impact of the program on the use of health resources, clinical effectiveness, and satisfaction was evaluated using a mixed-method approach. Semi-structured interviews were performed to assess satisfaction with the newly deployed model and mixed regression models to measure the effect of the intervention throughout the follow-up period. Results Two hundred patients were recruited (101 intervention and 99 control), mostly males (63%) with a mean age of 79 years and age-adjusted Charlson Comorbidity Index of 9.7 on average. Relevant differences between the groups were observed for all dimensions. In the intervention group, the number of hospitalizations and visits to emergency centers was reduced, and the number of primary care contacts increased. Clinical changes were also observed, such as a decrease in the body mass index and blood glucose levels. The satisfaction level was high for all stakeholders. Conclusion The implementation of CareWell integrated care model changed the profile of health resource utilization, strengthening the key role of primary care and reducing the number of emergency visits and hospitalizations. The satisfaction with this model of care was high. Trial registration ClinicalTrials.gov, NCT03042039. Registered 3 February 2017 - Retrospectively registered.
Older age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by clearly articulating the role of each provider and patient in the care process. In this paper, we present a method and corresponding implementation of a semi-automatic care plan management tool, integrated with clinical decision support services which can seamlessly access and assess the electronic health records (EHRs) of the patient in comparison with evidence based clinical guidelines to suggest personalized recommendations for goals and interventions to be added to the individualized care plans. We also report the results of usability studies carried out in four pilot sites by patients and clinicians.
Due to population ageing and medical advances, people with advanced chronic diseases (ACD) live longer. Such patients are even more likely to face either temporary or permanent reduced functional reserve, which typically further increases their healthcare resource use and the burden of care on their caregiver(s). Accordingly, these patients and their caregiver(s) may benefit from integrated supportive care provided via digitally supported interventions. This approach may either maintain or improve their quality of life, increase their independence, and optimize the healthcare resource use from early stages. ADLIFE is an EU-funded project, aiming to improve the quality of life of older people with ACD by providing integrated personalized care via a digitally enabled toolbox. Indeed, the ADLIFE toolbox is a digital solution which provides patients, caregivers, and health professionals with digitally enabled, integrated, and personalized care, supporting clinical decisions, and encouraging independence and self-management. Here we present the protocol of the ADLIFE study, which is designed to provide robust scientific evidence on the assessment of the effectiveness, socio-economic, implementation, and technology acceptance aspects of the ADLIFE intervention compared to the current standard of care (SoC) when applied in real-life settings of seven different pilot sites across six countries. A quasi-experimental trial following a multicenter, non-randomized, non-concurrent, unblinded, and controlled design will be implemented. Patients in the intervention group will receive the ADLIFE intervention, while patients in the control group will receive SoC. The assessment of the ADLIFE intervention will be conducted using a mixed-methods approach.
Background There is an increasing need to organize the care around the patient and not the disease, while considering the complex realities of multiple physical and psychosocial conditions, and polypharmacy. Integrated patient-centered care delivery platforms have been developed for both patients and clinicians. These platforms could provide a promising way to achieve a collaborative environment that improves the provision of integrated care for patients via enhanced information and communication technology solutions for semiautomated clinical decision support. Objective The Collaborative Care and Cure Cloud project (C3-Cloud) has developed 2 collaborative computer platforms for patients and members of the multidisciplinary team (MDT) and deployed these in 3 different European settings. The objective of this study is to pilot test the platforms and evaluate their impact on patients with 2 or more chronic conditions (diabetes mellitus type 2, heart failure, kidney failure, depression), their informal caregivers, health care professionals, and, to some extent, health care systems. Methods This paper describes the protocol for conducting an evaluation of user experience, acceptability, and usefulness of the platforms. For this, 2 “testing and evaluation” phases have been defined, involving multiple qualitative methods (focus groups and surveys) and advanced impact modeling (predictive modeling and cost-benefit analysis). Patients and health care professionals were identified and recruited from 3 partnering regions in Spain, Sweden, and the United Kingdom via electronic health record screening. Results The technology trial in this 4-year funded project (2016-2020) concluded in April 2020. The pilot technology trial for evaluation phases 3 and 4 was launched in November 2019 and carried out until April 2020. Data collection for these phases is completed with promising results on platform acceptance and socioeconomic impact. We believe that the phased, iterative approach taken is useful as it involves relevant stakeholders at crucial stages in the platform development and allows for a sound user acceptance assessment of the final product. Conclusions Patients with multiple chronic conditions often experience shortcomings in the care they receive. It is hoped that personalized care plan platforms for patients and collaboration platforms for members of MDTs can help tackle the specific challenges of clinical guideline reconciliation for patients with multimorbidity and improve the management of polypharmacy. The initial evaluative phases have indicated promising results of platform usability. Results of phases 3 and 4 were methodologically useful, yet limited due to the COVID-19 pandemic. Trial Registration ClinicalTrials.gov NCT03834207; https://clinicaltrials.gov/ct2/show/NCT03834207 International Registered Report Identifier (IRRID) RR1-10.2196/21994
There is an increasing need to organise the care around the patient and not the disease, as well as taking into account the complex realities of multiple physical, psycho-social conditions and polypharmacy. Integrated patient-centred care delivery platforms have been developed for both patients and clinicians. These platforms could provide a promising way to achieve a collaborative environment that improves the provision of integrated care for patients via enhanced ICT solutions. The C3-Cloud project has developed two collaborative computer platforms for patients and members of the Multi-Disciplinary Team and deployed these in three different European settings. The objective of this study is to pilot test the platforms and evaluate their impact on patients, informal caregivers, healthcare professionals and, in extend, healthcare systems. This paper describes the protocol for conducting an evaluation of the user-centred design, user experience, acceptability, and usefulness of the platforms. For this, four ‘testing and evaluation’ phases have been defined, involving multiple qualitative methods, and advanced impact modelling. The technology trial in this 4-year funded project (2016-2020) is currently in its execution phase. The testing and evaluation phase 1 and 2 have been completed with satisfying results on system component tests, and promising results on application and usability tests. The pilot technology trial for evaluation phase 3 and 4 was launched in August 2019. Data collection for these phases is underway and results are forthcoming, approximately in April 2020. We believe that the phased, iterative approach taken is useful as it involves relevant stakeholders at crucial stages in the platform development and allows for a sound user acceptance assessment of the final product. Patients with multiple chronic conditions often experience shortcomings in the care they receive. It is hoped that personalised care plan platforms for patients and collaboration platforms for members of Multi-Disciplinary Teams can help to tackle the specific challenges of clinical guideline reconciliation for multimorbid patients and improved the management of poly-pharmacy. The initial evaluative phases have indicated promising results of platform usability. The phased methodology has shown useful results in the first two phases, while results of phase 3 and 4 are pending. https://www.clinicaltrials.gov/ct2/show/NCT03834207
Management of personalised guideline-driven care plans addressing the needs of multi-morbidity via clinical decision support services 18 th
Across the globe, the healthcare sector is experiencing transformations (cultural, social, digital and economic). This is due to the age and varying patient needs that are driving a shift in the healthcare landscape. At the same time, chronic diseases, social determinants and resource limitations continue to add pressure. Healthcare has thus shifted from paternalistic mode of care to patient centered care (PCC). The growing multiple divergent medical cases denote a need to collaboratively understand clinical issues and effectively determine the best course of action. With PCC, a patient is recognized as a unique human being before forming a diagnosis. This implies that there is a need for multifaceted decision-making. In this study, we use a co-construction participatory modeling approach to understand the complexities in collaboratively managing knowledge for multi-morbid chronic patients on Advance Care Plan (ACP). To achieve this, focus group discussions (FGD) with 12 participants (five healthcare professionals, three health managers and three healthcare key decision makers) from Basque Public Health System (Osakidetza), in Spain were involved in identifying the key challenges and developing a systemic thinking model. As a result, three key challenges were identified i.e. 1) culture (citizens are not willing to talk about death, 2) healthcare professionals’ challenge to change attitude and perspectives, and 3) changing the current system towards holistic and a shared care model. From the developed Causal loop diagrams (CLDs), it is noted that perpetuation of fragmented and paternalistic care is likely to get worse without recognition of the ACP as a social need and a crucial part of the clinical practice part change.
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