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Mapping of pathways of care, assessment of delays and gap analysis in provision of care following road traffic injury among patients in selected tertiary hospitals in urban Karnataka, South India
Author(s) -
Sudhir Prabhu,
Anusha Rashmi,
Rashmi Kundapur,
Shreyaswi Sathyanath
Publication year - 2021
Publication title -
indian journal of community health/indian journal of community health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.149
H-Index - 9
eISSN - 2248-9509
pISSN - 0971-7587
DOI - 10.47203/ijch.2021.v33i04.015
Subject(s) - medicine , checklist , descriptive statistics , health care , road traffic , health facility , tertiary care , emergency medicine , medical emergency , family medicine , environmental health , population , health services , psychology , statistics , mathematics , transport engineering , engineering , economics , cognitive psychology , economic growth
Background: Evidence-based public health advocates decision making based on best available scientific evidence, hence it is important to gather evidence of current scenario of trauma care. Aim & Objective: To determine pathways of care and delays among Road Traffic Injury patients and assess gaps in resources. Settings and Design: This cross-sectional study was conducted in selected tertiary care hospitals in Mangaluru taluk, Karnataka. Methods and Material: Participants were administered validated proformas on prehospital and hospital care. WHO trauma care checklist was used for capacity assessment and gap analysis. Statistical analysis used: Time intervals are expressed as measures of central tendency and dispersion. Descriptive analysis is given as percentages and proportions. Results: Median pre-hospital time was 30 minutes. Overall, 67.5% of the patients reached within golden hour. Majority (64.1%) were directly transported to current hospital. All patients received first aid, but only 0.8% received it at the RTI site. First aid was mostly administered by doctors (68.7%) or nursing staff (31.1%) and none by bystander. Insurance coverage was 32.8% and 87.9% incurred out of pocket expenditures. Scores were low in GP level hospital. Conclusions: Although transport was within the golden hour, pre-hospital care was poor. Out of pocket expenditures were high.

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