Complexity and Multiple Illnesses of Adult Hospitalized Internal Medicine Patient
Conditions
Brief summary
The goal of this observational study is to evaluate the association between complexity and multiple illnesses of adult hospitalized internal medicine patient and mortality. The observational study will also evaluate the association between pre-existing factors at hospitalization and clinical outcomes such as mortality, length of hospital stay, intensity of care (transfer to units with higher clinical intensity), complications and rehospitalization. For data collection, four index weeks will be identified during the year in which the participating Centers will have to sequentially enroll all the participants who will be admitted to the Internal Medicine units, until reaching, for each index week, 10 participants for each of the Participating Centers. Each enrolled participant will undergo a 12-month follow-up. The study foresees the enrollment of 2326 participants.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
1. Patients of legal age (age \>= 18 years). 2. Informed consent according to Italian law.
Exclusion criteria
* No specific
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| to evaluate the correlation between clinical complexity/multimorbidity of the hospitalized internal medicine patient, defined by the Cumulative Illness Rating Scale (CIRS), and mortality. | 12 months | to evaluate the correlation between clinical complexity/multimorbidity of the hospitalized internal medicine patient, defined by the Cumulative Illness Rating Scale (CIRS), and mortality. Cumulative Illness Rating Scale: severity index (minimum value is 1, maximum value is 5), comorbidity index (minimum value is 0, maximum value is 13). Higher scores mean worse outcome. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| to evaluate the correlation between pre-existing factors at hospitalization and clinical outcomes - to evaluate the association between disease severity parameters and clinical outcomes | 12 months | * to evaluate the correlation between pre-existing factors at hospitalization, such as polypharmacy, age, prevalent chronic diseases (e.g. heart failure, respiratory failure and pneumonia, decompensated diabetes, etc.) and clinical outcomes such as mortality, length of hospital stay, intensity of care (transfer to units with higher clinical intensity), complications and rehospitalization * to evaluate the association between disease severity parameters (e.g. biohumoral, score, etc.) and clinical outcomes. |
Countries
Italy