Health Knowledge, Attitudes, Practice Clinical Trial
— SMACOfficial title:
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
The progressive rising of multimorbidity, which has been always considered the hallmark of clinical complexity (CC), has made management of the "complex" patient one of the most topical and challenging issues in medicine. However, patient-related factors (multimorbidity, age, frailty, disease severity) pertain only to the biological complexity, while CC is the result of the dynamic interaction between biological complexity and a number of other coexisting factors (socio-economic, cultural, behavioural, environmental). Starting from these premises, the investigators designed a five-year observational prospective longitudinal study that aims to validate and compare a CC score system on a large cohort of patients (n=1000) admitted in internal medicine wards. Clinicians, biostatisticians and epidemiologists will cooperate into the project. A questionnaire that encompasses the main biological and extra-biological factors was designed (Clinical Complexity Index, CCI) by a multiprofessional consensus. This questionnaire will be administered by the investigators to the patients and validated. Consecutive patients will be enrolled every other week for two years and followed-up for 5 years. The primary endpoint will be the validation of the CCI. Thereafter, the investigators will evaluate the correlation between the CCI and the length of stay of the index hospitalization, assuming that a higher CCI score is associated with longer length of stay. The secondary endpoints will be the demonstration of the association between higher CCI score and more health resources utilization (i.e., evaluating occurrence of hospital readmissions, number of accesses to the emergency room, visits at the outpatient clinic, different drugs prescribed and hospital reimbursement according to the local diagnosis-related group [DRG] system) along with worse prognosis (mortality at 1 and 5 years).
Status | Recruiting |
Enrollment | 2000 |
Est. completion date | November 6, 2022 |
Est. primary completion date | November 6, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility |
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 |
Country | Name | City | State |
---|---|---|---|
Italy | Fondazione IRCCS Policlinico San Matteo | Pavia | Lombardia |
Lead Sponsor | Collaborator |
---|---|
IRCCS Policlinico S. Matteo |
Italy,
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. — View Citation
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. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Validation of the Clinical Complexity Index (CCI) | 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 | Length of stay | The investigators will measure the length of stay (unit of measurement: days) of each enrolled patient. | 2 years | |
Secondary | Healthcare expenditure and utilization | 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 | |
Secondary | Mortality | To evaluate the association between a higher Clinical Complexity Index (CCI) score and mortality at 1 and 5 years. | 5 years |
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