Clinical Complexity in Internal Medicine Wards. San MAtteo Complexity Study (SMAC)
Development of a Mathematical Model of Clinical Complexity and of an Index for Its Practical Evaluation in Observational Prospective Longitudinal Studies. San MAtteo Complexity Study
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
The Clinical Complexity Index (CCI) that will be validated is made of 25 different variables, divided into 5 domains (biological, socioeconomic, behavioral, environmental, cultural). All variables were dichotomised and were coded -1 (absence of the variable) and +1 (presence of the variable). For each variable, the answer "yes" increases the degree of complexity. See Citations for further details.
Here is the CCI that will be used in the study:
BIOLOGICAL DOMAIN Age > 75 years yes☐ +1 no☐ -1 Intake ≥ 5 medications yes☐ +1 no☐ -1 Cumulative Illness Rating Scale (CIRS) > 3 and/or CIRS severity >3 yes☐ +1 no☐ -1 ↑ frailty (Edmonton Frail Scale > 5) yes☐ +1 no☐ -1
↓ mobilization (Barthel<60) yes☐ +1 no☐ -1
SOCIO-ECONOMIC DOMAIN Living alone yes☐ +1 no☐ -1 Income < 1000 €/month yes☐ +1 no☐ -1 Unemployment/precarious work yes☐ +1 no☐ -1 Dependent/disabled family member yes☐ +1 no☐ -1 Need for a caregiver yes☐ +1 no☐ -1
BEHAVIOURAL DOMAIN Inadequate adherence to medications yes☐ +1 no☐ -1 Active smoking of at least 4 cigarettes/day yes☐ +1 no☐ -1 Alcohol (>3 Alcohol Units/day) and/or drug abuse yes☐ +1 no☐ -1 Inappropriate diet yes☐ +1 no☐ -1 Cognitive impairment (Short Blessed Test > 9) yes☐ +1 no☐ -1
ENVIRONMENTAL DOMAIN Institutionalization yes☐ +1 no☐ -1 Difficult access to healthcare yes☐ +1 no☐ -1 Presence of home architectural barriers yes☐ +1 no☐ -1 Occupational exposure to toxins yes☐ +1 no☐ -1 Air pollution yes☐ +1 no☐ -1
CULTURAL DOMAIN Schooling < 8 years yes☐ +1 no☐ -1 Insufficient access to information yes☐ +1 no☐ -1 Lack of adherence to health screening programs yes☐ +1 no☐ -1 Language barriers yes☐ +1 no☐ -1 Perceived discrimination yes☐ +1 no☐ -1
The investigators will administer the CCI to all patients admitted to the wards (Internal Medicine and Subacute ward), according the study protocol. All the enrolled patients will be followed-up with a phone call after after discharge (at 4-8-12 months) for collecting the following data: occurrence of hospital readmission within 1 month after discharge; the number of readmissions; the number of accesses to the emergency room (ER); the number of visits at the outpatient clinic; the number of different drugs prescribed; mortality. Mortality will also be assessed once a year for 5 years.
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Gino R Corazza, MD
- Phone Number: 00390382502973
- Email: gr.corazza@smatteo.pv.it
Study Locations
-
-
Lombardia
-
Pavia, Lombardia, Italy, 27100
- Recruiting
- Fondazione IRCCS Policlinico San Matteo
-
Contact:
- Gino R Corazza, MD
- Phone Number: 00390382502973
- Email: gr.corazza@smatteo.pv.it
-
Sub-Investigator:
- Marco V Lenti, MD
-
Sub-Investigator:
- Pietro Formagnana, MD
-
Sub-Investigator:
- Giampiera Bertolino, MD
-
Sub-Investigator:
- Francesco Falaschi, MD
-
Sub-Investigator:
- Mariella Ciola, MD
-
Sub-Investigator:
- Alice Brera
-
Sub-Investigator:
- Gabriele Croce, MD
-
Sub-Investigator:
- Franco Barzizza, MD
-
Sub-Investigator:
- Elisabetta Pagani, MD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age ≥ 18
- Hospitalized in one of the participating Units (Internal Medicine wards or Subacute ward)
Exclusion Criteria:
- Already enrolled in the study during a previous hospitalization
- Denied informed consent
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Internal Medicine ward
The Clinical Complexity Index (CCI) will be administered to all patients admitted to the ward.
|
Clinical Complexity Index (CCI) will be administered at the time of admission to the ward.
|
|
Subacute ward
The Clinical Complexity Index (CCI) will be administered to all patients admitted to the ward.
|
Clinical Complexity Index (CCI) will be administered at the time of admission to the ward.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Validation of the Clinical Complexity Index (CCI)
Time Frame: 2 years
|
Validation of the Clinical Complexity Index (CCI) proposed in the project (see first Citation and Study Description for further details).
This index should measure patients' clinical complexity, including biological, socioeconomic, cultural, behavioral, and envirnomental domains.
The total score range is -25 to +25 (-5 to +5 per each domain).
The investigators expect that a higher value is associated with a worse outcome (higher clinical complexity).
|
2 years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Length of stay
Time Frame: 2 years
|
The investigators will measure the length of stay (unit of measurement: days) of each enrolled patient.
|
2 years
|
|
Healthcare expenditure and utilization
Time Frame: 1 year
|
To demonstrate the association of the Clinical Complexity Index (CCI) with the use of health resources, including the occurrence of hospital readmission within 1 month; the number of readmissions during the first 12 months; the number of accesses to the emergency room (ER) during the first 12 months; the number of visits at the outpatient clinic during the first 12 months; the number of different drugs prescribed during the first 12 months; the hospital reimbursement according to the Regional DRG system for the index hospitalization.
Each of these items will be separately analyzed.
|
1 year
|
|
Mortality
Time Frame: 5 years
|
To evaluate the association between a higher Clinical Complexity Index (CCI) score and mortality at 1 and 5 years.
|
5 years
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Gino R Corazza, MD, Fondazione IRCCS Policlinico San Matteo
Publications and helpful links
General Publications
- Palese A, Brusaferro S. A multidimensional vector model measuring clinical complexity may increase effectiveness in patient assessment. Intern Emerg Med. 2017 Dec;12(8):1287-1289. doi: 10.1007/s11739-017-1722-9. Epub 2017 Aug 4. No abstract available.
- Corazza GR, Klersy C, Formagnana P, Lenti MV, Padula D; Consensus Panel. A consensus for the development of a vector model to assess clinical complexity. Intern Emerg Med. 2017 Dec;12(8):1313-1318. doi: 10.1007/s11739-017-1709-6. Epub 2017 Jul 14.
- Lenti MV, Brera AS, Ballesio A, Croce G, Padovini L, Bertolino G, Di Sabatino A, Klersy C, Corazza GR. Resilience is associated with frailty and older age in hospitalised patients. BMC Geriatr. 2022 Jul 10;22(1):569. doi: 10.1186/s12877-022-03251-9.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- SMAC Study
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- SAP
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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