Chronic Disease Clinical Trial
Official title:
Protocol for Regional Implementation of Community-based Collaborative Management of Complex Chronic Patients (CCP)
Background/Aims: Large scale adoption of integrated care for chronic patients constitutes a
key milestone to accelerate adaptation of current healthcare systems to the evolving needs
triggered by population ageing and high prevalence of chronic conditions. Lessons learnt from
deployment experiences are being disseminated as "good practices". But, there is need for
further assessment of implementation strategies in real world scenarios. Moreover, progresses
achieved in disease-oriented integrated care cannot be automatically transferred to
management of complex chronic patients (CCP). The protocol addresses five aims: 1)
implementation of two integrated care interventions using a collaborative and adaptive case
management (ACM) approach (i) Community-based management of CCP; and, ii) Integrated care for
patients under long-term oxygen therapy (LTOT)); 2) adoption of information and communication
technologies (ICT) required to support collaborative ACM; 3) to evaluate the impact of
enhanced clinical health risk assessment and stratification; 5) to generate a roadmap for
regional adoption of the CCP program.
Methods/Design: the CCP program will be deployed in three healthcare sector of
Barcelona-Esquerra (AISBE) (520 k citizens) and in two other areas of Catalonia: Badalona
Serveis Assistencials (BSA) (420 k citizens) and Lleida (366 k citizens) following
Plan-Do-Study-Act iterative cycles, using the Model for Assessment of Telemedicine for
evaluation purposes. The study also addresses the steps for scale-up of integrated care in
the entire Catalan region (7.5 M citizens). Observational studies with matched controls have
been planned for both Community-based management of CCP (n=3.000) and for Integrated care for
patients under LTOT (n=500). Moreover, clustered randomized controlled trials (RCT) are
planned on top of the observational studies to test specific questions (i.e. performance of
the ICT platform providing ACM functionalities). Main components of CCP program are: a)
patient stratification; b) comprehensive assessment strategies; c) ICT supported adaptive
Case management; d) Roadmap for regional adoption.
Hypothesis: the CCP program will generate guidelines for large scale deployment of the CCP
program, including transferability analysis, facilitating adoption of integrated care
services for management of multi-morbidity.
Rationale & hypothesis - Both, management of multi-morbidity and efficient collaboration
between specialized care and community-based services are unmet needs that can be overcome by
implementation of structured, but flexible, service workflows. That is, an ACM approach, as
well as appropriate patient health risks assessment and stratification.
The service workflow has two sequential phases with specific target outcomes for each of
them: i) Short-term (30 and 90 days after hospital discharge) prevention of hospital-related
events after hospital discharge; and ii) Intervention aiming at long-term enhanced CCP
management.
Objectives - To assess the impact of ICT-supported ACM on: i) reduction of early
hospital-related events including hospital re-admissions, visits to emergency department and
mortality; and, ii) Health value generation of the long-term intervention, defined as target
outcomes achieved relative to their costs.Detailed outcomes include the eleven indicators
recommended by the Spanish Health System covering the following dimensions: i)
Characteristics of the study groups and health status (i.e, Users attended in primary care
and, Health-related quality of life of patients and caregivers); ii) Intermediate outcomes
(Emergency Department visits; General Practitioner visits; Cumulative days per year admitted
in hospital; Poli-medication; Potentially avoidable hospitalizations; Hospital readmissions;
Needs for social support); iii) Empowerment (Unhealthy life styles); and, iv) Structure
(Access to ICT-supported integrated care). Moreover, through the program lifespan progresses
consolidated by the International Consortium for Health Outcomes Measurement (ICHOM) will be
incorporated.
Study design - The large-scale deployment will be evaluated as an observational study with a
matched control group. Assessment will be done by an independent team. The number of patients
to be included in the implementation study is approximately one-thousand individuals per
year, including both conventional hospitalization and home hospitalization as recruitment
sources.
Intervention - The general structure of the service workflow for the intervention group is as
follows:
Case identification. Identification of candidates for inclusion into the program following
the pre-defined inclusion/exclusion Case evaluation. During hospital admission or home
hospitalization. A holistic characterization should be performed covering a threefold aim: i)
Comprehensive assessment of each individual's need for health and social support; ii)
Individualized pharmacological and non-pharmacological treatment, including adherence and
self-management interventions needs; iii) Identification of short and long-term clinical
requirements; and, iv) Assessment of barriers that may limit fulfilment of the program.
Personalized work plan definition - Personalized action plan based on case evaluation.
Work plan execution, follow-up and event handling with the support provided by information
and communication technologies (ICT) that facilitate the program follow up and the handling
of unexpected events by: i) fostering patient empowerment for self-management; ii) enhance
patient adherence to the program; iii) facilitating remote supervision; and, iv) allowing
patient monitoring.
Discharge - At the end of the program evaluation.Eventually, it can be moved to other types
of integrated care services depending upon his/her needs.
The intervention is implemented by a multidisciplinary team from the hospital and from the
Primary Care, of advanced-practice nurses, physicians, physiotherapists, community nurses,
social workers having a general practitioner as a reference.
The collaboration between specialized care and primary care is guided by the reform of
specialized care in the healthcare sectors initiated in 2006. Both teams share ICT-supported
tools.
The intervention during hospital admission includes four key features: 1) A comprehensive
assessment of the patient at entry; 2) A two-hour educational program administered at entry
by a nurse followed by distribution of patient-specific support material.
Intervention after hospital discharge a) Phone call at 24 hours; b) Home visit at 72 hours
after discharge. Accessibility to the point of care available 24 hours/day; PHF, as
self-management tool and appointment at 1m after discharge.
After the transitional phase, the advanced-practice nurses perform regular training sessions
to the community-based care teams, facilitate high accessibility to specialized care as
needed and support functionalities of the PHF for the patients admitted into the program.
The number of home care visits, as well as access to specialized care, during the follow-up
12 month period is individually tailored, and dynamically adapted, to patient needs.
Moreover, planned visits by specialized professionals can be scheduled through the day
hospital or home visits if this was deemed necessary by primary care teams.
ICT- Support - The three main actors, namely: i) the healthcare professionals with access to
an adaptive case management system for work plan prescription, follow-up, coaching, and
care-coordination across healthcare tiers; ii) the adaptive case management system supporting
execution of the patient work plan and providing a bridge of interoperability and
collaborative tools among the patient (through the PHF), the case manager and the electronic
medical record; and, iii) the patient, with access to the PHF wherein she/he can answer
questionnaires, perform monitoring through mHealth apps, and have access to a follow-up
reports and tailored educational information.
Control group - Patients assigned to usual care will follow conventional treatment, being
managed by their physician without support by the multidisciplinary team, as described above
for the intervention group.
Clinical assessment - Evaluation will be done by an independent team at baseline and after
the 12-month follow-up. The questionnaires are those used by the integrated care team with
additions designed to capture patient empowerment characteristics: mental status, activities
of daily living, anxiety and depression, health-related quality of life; acute episodes
requiring emergency department consultations and/or hospital admissions within the healthcare
sector will be assessed using shared registries from the public health system. Moreover, core
outcomes, will be assessed from public registries.
Data analysis- A sample size of 200 patients per group was necessary to recognize
statistically significant effects of the intervention. The estimated number of patients
identified during the screening process (one-thousand per year) is markedly higher than
minimum required, thus ensuring enough statistical power.
Results will be expressed as mean and standard deviation (SD), or as number and percentages,
in the corresponding categories. Comparisons between the two study groups on admission and at
12 months will be performed using unpaired Student t-test for continuous variables, if
variables to be compared have two categories; and, chi-square tests for non-continuous
variables. Changes within each group were assessed by paired analysis (for example using
paired t test). The effects of the intervention on mortality and time to admission will be
analyzed respectively using multivariate logistic and Cox regression models, adjusted for
baseline differences between groups. We will build saturated models introducing all of the
covariates which result statistically significant during bivariate assessment. After this, we
will build parsimonious models by excluding, one to one, all of the variables not significant
according to the Wald test p-value. Finally, we will decide the final model, comparing the
saturated with the parsimonious models, according to the likelihood ratio test.Statistical
significance is set at a p value less than 0.05. Analyses will be done with SPSS release 20.
Additionally, qualitative assessment of technology will be done using standard questionnaires
and through focus groups.
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