Literature DB >> 12174482

Existing record keeping system in government teaching hospitals of Karachi.

S Aziz1, M H Rao.   

Abstract

OBJECTIVE: To determine the deficiencies in the existing record keeping system (ERKS) in government teaching hospitals of Karachi. STUDY
DESIGN: Descriptive, qualitative study to determine the deficiencies in the ERKS in government teaching hospitals of Karachi.
SETTING: The study was conducted in four government teaching hospitals of Karachi from 1.1.1998 to 1.11.1998.
METHODS: A total of 9725 pre-coded proformas were filled from 136 units of all hospitals including out patient departments (OPD), wards and emergency units.
RESULTS: Majority of the records (52.2%) were retrievable within one hour. The mean +/- S.D of patients seen per day at all hospitals were 122.49 +/- 92.25 (57 OPDs), 30.04 +/- 16.24 (75 wards) and 186.25 +/- 145.80 (4 emergencies). In majority of units (57.4%), the stationary for record keeping system was either not provided or was not enough. Only 39.0% units have 75% or more required information on records. The important information (except age) i.e. temperature, pulse rate, blood pressure, diagnosis, weight, history of patient, laboratory findings, previous record and discharge report and prescribed doses of medicine were lacking.
CONCLUSION: The ERKS in the government hospitals of Karachi is inadequate. It is therefore essential that uniform OPD, ward and emergency slips should be developed having all-important queries. So that data could be utilized for research purposes along with better planning and management of the hospital and procurement plan for the government.

Entities:  

Mesh:

Year:  2002        PMID: 12174482

Source DB:  PubMed          Journal:  J Pak Med Assoc        ISSN: 0030-9982            Impact factor:   0.781


  3 in total

1.  Improving medical records filing in a municipal hospital in Ghana.

Authors:  E A A Teviu; M Aikins; T I Abdulai; S Sackey; P Boni; E Afari; F Wurapa
Journal:  Ghana Med J       Date:  2012-09

2.  Quality of Surgical Case Notes at Dow University Hospital according to modified ANKLe score.

Authors:  Masood Jawaid; Nighat Bakhtiar; Abdul Khalique; Zubia Masood
Journal:  Pak J Med Sci       Date:  2013-07       Impact factor: 1.088

3.  A Granular Ontology Model for Maternal and Child Health Information System.

Authors:  Saadia Ismail; Majed Alshmari; Khalid Latif; Hafiz Farooq Ahmad
Journal:  J Healthc Eng       Date:  2017-05-16       Impact factor: 2.682

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.