Intensivist Involvement in Indian ICU and Impact on outcome (5 I study)
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 1,000
- 试验地点
- 1
- 主要终点
- 1. Quantification of Intensivist’s involvement in multiple ICUs at national level
研究概览
简要总结
Intensivist Involvement in Indian ICU and Impact on outcome 5 I study
Background: Since “Leapfrog initiative” intensivist driven critical care with 7 days of the week, with
no other clinical duties in the ICU resulted in improved outcome. Thereafter, most of the
published literature from developed world favored the intensivist based care and
multidisciplinary care in managing critically ill patients. However, some of the reports
challenged this school of thoughts. Some of the results are difficult to compare being
diversity bias in definition used. Often used are the three traditional models – open, transitional
or mandatory ICU consult and Closed. Variations like semi-closed or semi-open also exist but
are not well defined
Intent: Diversity in intensive care in India is higher than rest of the high middle- income and
developed world in many aspects. There are medical, surgical, mixed and super specialty ICU
with various degree intensivist involvement. How to best organize and deliver intensive care
with CCM as super specialty and scarcity of resources is a matter of debate. Patients
characteristics, infection pattern, infrastructure, intensivist’s involvement and role, processes and
standard of care are variable in various set ups.
Need of the study
Since inception of ICU in about 1950s, ICU bed strength over decades is going on increasing and
currently, due to increasing life expectancy and resources, the bed-strength is increasing to about
20 percent of the total hospital beds and is expected to rise to 50 percent in next decade. There are reports in
literature that suggest that trained intensivist coverage was associated with lower in-hospital and
1 year mortality rates. There are questions like type of critical care model focusing on
patient safety, cost effectiveness and utility, ICU beds per population density, proving high
quality care at the lowest costs etc.
Secondly, there is scarcity of resources to match the demand, even in the developed world, which
was very obvious during the COVID pandemic. Intensive care is highly demanding in terms
of both kinds of resources, man and material. ICU is a complex model of health care system
where most of resource utilization and expenditure takes place. So, we need to have the best
cost-effective or cost-utilization model. Health economic evaluations are increasingly common
in the critical care literature, and include highly qualified professional assistance, costly
equipment and economical gains are represented by patient outcome, as life and years saved.
In this national study, we hypothesize that intensivist based care leads to improved mortality and
other clinical outcome parameters and at the same time to find the best care model.
Aims: To determine the effect of different levels of intensivist involvement models on clinical
outcomes for critically ill patients in Indian ICUs and to determine impact of the different
models of intensivist involvement on patient outcome and resource utilization.
Primary objectives
-
Quantification of Intensivist’s involvement in multiple ICUs at national level
-
Impact on ICU discharge and hospital mortality with different degree of intensivist
involvement
Secondary objectives
-
Life adjusted gain years
-
LAMA patients’ characteristics analysis based on different ICU care model
Inclusion:
-
Interested hospitals with minimal bed capacity of 10 ICU beds
-
ICUs that routinely record mortality and nosocomial infection rates
Exclusion: Nil
Methodology
Design- Prospective, observational, multicenter
Duration of study: Discharge or death of the enrolled patients
Recruitment: Two-point recruitment one month apart for 5 specified days in each
session
Sample Size calculation
Risk reduction by 5 percent
Data collection: Data will be collected for minimum of 20 patients from each center. Two
random periods of 5 days will be selected in two successive months. Existing10 patients in each
session will be enrolled. APACHE II score and risk of mortality will be calculated within the 24
hours after ICU admission
Note: In India presently, there are more than 500 PG, DM and DNB seats in CCM and IDCCM, in
approximately 100 institutes. Even if we enroll 50percent, 50 institutes all over the country, 1000 patients.
Data will be collected on pre-structured CRF that will be divide into 4 sections National survey
will be done through ICU Research Net or ISCCM portal for infrastructure and processes as
follows.
Part I- Personal information, once at the time of enrollment of Centre
Part II- Infrastructure,once at the time of enrollment of Centre
Part III- Patient data, disease severity, APACHE-II score, procedures performed
Part IV- Outcome, number of deaths, number of LAMA, etc
Part B secondary objectives
All hospitals or institutes including teaching and nonteaching where DM, Dr NB, and ISCCM conducted
courses in Critical Care, will be approached via ICU Research Net. Administrative level of
involvement, care involvement, services level, consultant or resident based or mandatory or lead
type or service type.
Critical Nursing standards
Accreditation with national and international agencies. ICUs that are willing to
participate for outcome analysis will be enrolled further.
For this analysis, all included ICUs will be categorized into three groups.
Group I Closed ICU patient admitted under the ICU team and all decisions made by the ICU
team.
Group II Mandatory Critical Care Consultation patient remains admitted under primary
specialty but all patients in ICU are seen by the ICU team
Group III Open ICU or ICU managed by non-intensivist ICU physician and intensivist call on
SOS basis and decision given by primary consultant most of the times or no intensivist
involvement at all.
Subgroup analysis
Subgroup analyses of clinical outcomes will be also conducted.
Stratification into subgroups by
-
Age
-
Surgical Vs Non-Surgical
-
SOFA Scores
-
Super specialty vs Broad specialty eg A patient admitted under a physician for stroke
is broad specialty MD physician or super specialty,Neuro problem
- Type of hospital: Private vs General or University Affiliated vs non
The ICU discharge, mortality rates and in-hospital mortality rates, will be compared according to
these subgroups.
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 90.00 Year(s)(—)
- 性别
- All
入选标准
- •Hospitals with minimal 10 ICU bed capacity
- •ICUs that routinely record mortality and nosocomial infection rates.
排除标准
- 未提供
结局指标
主要结局
1. Quantification of Intensivist’s involvement in multiple ICUs at national level
时间窗: Two-point recruitment one month apart for 5 specified days in each | session
2. Impact on ICU discharge and hospital mortality with different degree of intensivist
时间窗: Two-point recruitment one month apart for 5 specified days in each | session
involvement
时间窗: Two-point recruitment one month apart for 5 specified days in each | session
次要结局
- 1. Life adjusted gain years(2. LAMA patients’ characteristics analysis based on different ICU care model)
研究者
Dr Parshotam Lal Gautam
Dayanand Medical College and Hospital, Ludhiana
