Note that any use of this dataset is subject to the terms in the LICENSE as well as in the POLICY. Read these carefully before you download or in any way use the data.
Towards Improved Trauma Care Outcomes (TITCO) collaborators. (2020). The original anonymized TITCO cohort (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7832819
@dataset{towards_improved_trauma_care_outcomes_ti_2020_7832819,
author = {Towards Improved Trauma Care Outcomes (TITCO) collaborators},
title = {The original anonymized TITCO cohort},
month = sep,
year = 2020,
publisher = {Zenodo},
version = {v1.0.0},
doi = {10.5281/zenodo.7832819},
url = {https://doi.org/10.5281/zenodo.7832819}
}
In this document we present the central characteristics of the TITCO-I dataset, including the origin of the data and how it was collected. Along with this document the following files are included in this repository:
- titco-I-full-dataset-v1.csv (full dataset)
- titco-I-limited-dataset-v1.csv (limited dataset, includes a random sample of 1000 observations from the full dataset)
- codebook-titco-I-v1.pdf (descriptors of all variables in the TITCO-I dataset)
- codebook-titco-I-v1.csv (comma separated file of descriptors of all variables in the TITCO-I dataset, intended mainly for programmatic use)
To familiarize yourself with the data we recommend that you first read this document (README). Then eyeball the codebook to get a sense of the data available (codebook-titco-I-v1.pdf). Finally, import the data into your analysis software of choice (titco-I-dataset-v1.csv). Useful guides are available at:
Any comments, questions or feedback is very much appreciated, including reports of flaws or apparent errors in the data. Please let us know on martingerdin@gmail.com or nobsroy@gmail.com.
NAME: TITCO-I dataset
VERSION: 1
ROWS: 16000
COLUMNS: 193
CELLS: 3088000
NON-EMPTY CELLS: 2108403
SYSTEM-MISSING: NA
The TITCO-I v1 dataset includes data on 16 000 patients admitted to four public university hospitals in urban India. The original dataset included 16 047 patients but 47 patients were deleted from the dataset for anonymization purposes, see the anonymization section for more details. At the time of the research Jai Prakash Narayan Apex Trauma Center (JPNATC), All India Institute of Medical Sciences, New Delhi, was a dedicated trauma centre with almost 180 beds. King Edward Memorial hospital (KEM), Mumbai, was a tertiary level hospital with no dedicated trauma ward. Lokmanya Tilak Municipal General Hospital (LTMGH), Mumbai was a tertiary level public university hospital with a dedicated trauma ward with 14 beds. The Institute of Post-Graduate Medical Education and Research and Seth Sukhlal Karnani Memorial Hospital (SSKM), Kolkata was a tertiary level public university hospital, but without a dedicated trauma ward. The cost of care in these hospitals was nominal and the patients admitted represented mainly a lower socioeconomic stratum of the population. The first patient was enrolled in July 2013 and the last patient in December 2015. The exact enrollment period varied across participating hospitals.
One dedicated project officer collected data on site for approximately eight hours, five days per week. The shifts were rotated, so that the project officers worked morning, evening, and night shifts, and then had a day off. This way all possible shifts were covered during the course of a month. Data for patients arriving during the project officers shifts were collected by direct observation in the area where trauma patients were received, and the project officers were allowed to ask the health care staff for values of parameters not entered into the patient's records. For example, if the systolic blood pressure was measured (the project officer could see it being measured) but was not documented in the patient record, the project officer was allowed to ask for its value. Data for patients arriving to hospital outside the project officers' shifts were recorded from patient records. These patients were identified from the nurses' log books in the emergency department.
Patients of all ages were included if they presented with history of trauma and were admitted or died between arrival and admission. Patients with isolated limb injury and patients who were dead on arrival were not included.
We obtained ethical approval for the collection of data for the original research from each of the participating hospitals. The names of the ethical bodies and reference numbers were Institute Ethics Committee All India Institute of Medical Sciences (EC/NP-279/2013 RP-Ol/2013), Institutional Ethics Committee (IEC(I)/OUT/222/14), Ethics Committee of the Staff and Research Society (IEC/11/13), and IPGME&R Research Oversight Committee (IEC/279) for JPNATC, KEM, LTMGH, and SSKM respectively. We applied for a waiver of informed consent, which was granted by all review boards. The patients included in this study were all admitted after trauma, often arriving with an altered level of consciousness and in severe physical and psychological distress. As the original research involved only collection of routine data and did not alter the care provided in any way, we and the ethics committees felt that obtaining informed consent would be to burden the patients or their relatives unnecessarily. Names, addresses, telephone, social security or insurance numbers were never collected.
The identification number used to identify individual hospitals in the original dataset has been replaced with a random number, resulting in four unique values. No key has been retained to allow linkage of new and old hospital identification numbers.
The identification number used to identify individual patients in the original dataset has been replaced with a random identification number, resulting in 16000 unique values. No key has been retained to allow linkage of new and old patient identification numbers.
Dates have been shifted into the future using a random offset for each patient, preserving time intervals, day of the week and "approximate seasonality", meaning that between zero and five weeks were added to the original month. To still allow for temporal splitting of the dataset a sequential number was generated based on the original date of arrival and stored as the variable seqn. Important to notice is that it is not possible to use the date variables to calculate, for example, the number of patients admitted per day. It is also not possible to estimate the time between two patients being admitted.
Times have been retained as they were in the original dataset.
The original dataset included 16047 observations. In this anonymous version of the data 47 observations have been randomly deleted. This was done to prevent identification of patients based on the seqn variable described under Dates above.
The age variable has been recoded from a continuous variable to an ordinal variable so that observations with an age > 89 recorded are grouped toghether.
A random selection of 1% of injury descriptors entered into each of the variables e_1, e_2, e_3, e_4, e_5, e_6, e_7, e_8, e_9, e_10, e_11, e_12, xray_1, xray_2, xray_3, xray_4, xray_5, xray_6, xray_7, xray_8, xray_9, xray_10, xray_11, fast_1, fast_2, fast_3, fast_4, fast_5, fast_6, fast_7, fast_8, fast_9, fast_10, fast_11, ct_1, ct_2, ct_3, ct_4, ct_5, ct_6, ct_7, ct_8, ct_9, ct_10, ct_11, ct_12, ct_13, op_1, op_2, op_3, op_4, op_5, op_6, op_7, op_8, op_9, op_10, op_11 were set to missing. Corresponding ICD-10 codes were also set to missing. This was done to prevent identification of patients based on the list of recorded injuries.
This dataset is the result of massive efforts from a large number of people, beside all patients who contributed their data to the original research. Being named here does not in any way mean that one approve of the distribution or use of the data, only that one was involved in the original research resulting in the data being collected. Collaborators are listed alphabetically by first name.
Amit Gupta, Ashish Jhakal, Debojit Basak, Deen Mohamed Ismail Professor, Dusu Yabo, Jegadeesa K, Jyoti Kamble, Makhan Lal Saha, Mangesh Nitnaware, Martin Gerdin, Monty Khajanchi, Nobhojit Roy, Ranganathan Jothi, Samarendra Nath Ghosh, Sanjeev Bhoi, Santosh Mahindrakar, Santosh Tirlotkar, Satish Dharap, Shilpa Rao, Veera Kamal, Vineet Kumar.
v1: updated with additional anonymization procedures, added credits and
citation
beta: First version of these files