Literature DB >> 22798477

Data quality assessment in healthcare: a 365-day chart review of inpatients' health records at a Nigerian tertiary hospital.

Ibrahim Taiwo Adeleke1, Adedeji Olugbenga Adekanye, Kayode Abiodun Onawola, Alaba George Okuku, Samuel Adebowale Adefemi, Sunday Adesubomi Erinle, AbdurRahman Alhaji Shehu, Olubunmi Edith Yahaya, AbdulLateef Adisa Adebisi, John Adeniran James, Oloundare Olanrewaju AbdulGhaney, Lateef Mosebolatan Ogundiran, Abdullahi Daniyan Jibril, Moses Esimy Atakere, Moses Achinbee, Oluwaseun Ayoade Abodunrin, Muhammad Wasagi Hassan.   

Abstract

BACKGROUND: Health records are essential for good health care. Their quality depends on accurate and prompt documentation of the care provided and regular analysis of content. This study assessed the quantitative properties of inpatient health records at the Federal Medical Centre, Bida, Nigeria.
METHOD: A retrospective study was carried out to assess the documentation of 780 paper-based health records of inpatients discharged in 2009.
RESULTS: 732 patient records were reviewed from the departments of obstetrics (45.90%), pediatrics (24.32%), and other specialties (29.78%). Documentation performance was very good (98.49%) for promptness recording care within the first 24 h of admission, fair (58.80%) for proper entry of patient unit number (unique identifier), and very poor (12.84%) for utilization of discharge summary forms. Overall, surgery records were nearly always (100%) prompt regarding care documentation, obstetrics records were consistent (80.65%) in entering patients' names in notes, and the principal diagnosis was properly documented in all (100%) completed discharge summary forms in medicine. 454 (62.02%) folders were chronologically arranged, 456 (62.29%) were properly held together with file tags, and most (80.60%) discharged folders reviewed, analyzed and appropriate code numbers were assigned.
CONCLUSIONS: Inadequacies were found in clinical documentation, especially gross underutilization of discharge summary forms. However, some forms were properly documented, suggesting that hospital healthcare providers possess the necessary skills for quality clinical documentation but lack the will. There is a need to institute a clinical documentation improvement program and promote quality clinical documentation among staff.

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Year:  2012        PMID: 22798477      PMCID: PMC3534461          DOI: 10.1136/amiajnl-2012-000823

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  13 in total

1.  The reliability of medical record review for estimating adverse event rates.

Authors:  Eric J Thomas; Stuart R Lipsitz; David M Studdert; Troyen A Brennan
Journal:  Ann Intern Med       Date:  2002-06-04       Impact factor: 25.391

2.  Training, quality assurance, and assessment of medical record abstraction in a multisite study.

Authors:  Lisa M Reisch; Jessica Scura Fosse; Kevin Beverly; Onchee Yu; William E Barlow; Emily L Harris; Sharon Rolnick; Mary B Barton; Ann M Geiger; Lisa J Herrinton; Sarah M Greene; Suzanne W Fletcher; Joann G Elmore
Journal:  Am J Epidemiol       Date:  2003-03-15       Impact factor: 4.897

3.  Using record review as a quality improvement process.

Authors:  Nancy Durkin
Journal:  Home Healthc Nurse       Date:  2006-09

4.  Case study: changing behaviours to improve documentation and optimize hospital revenue.

Authors:  Margaret Oldfield
Journal:  Nurs Leadersh (Tor Ont)       Date:  2007

5.  Leading clinical documentation improvement. Three successful HIM-led programs.

Authors:  Chris Dimick
Journal:  J AHIMA       Date:  2008-07

6.  Informed consent in medical research. Journals should not publish research to which patients have not given fully informed consent--with three exceptions.

Authors:  L Doyal
Journal:  BMJ       Date:  1997-04-12

7.  The impact of feedback to medical housestaff on chart documentation and quality of care in the outpatient setting.

Authors:  D A Opila
Journal:  J Gen Intern Med       Date:  1997-06       Impact factor: 5.128

8.  Chart documentation quality and its relationship to the validity of administrative data discharge records.

Authors:  Lawrence So; Cynthia A Beck; Susan Brien; James Kennedy; Thomas E Feasby; William A Ghali
Journal:  Health Informatics J       Date:  2010-06       Impact factor: 2.681

9.  Use of computer-based records, completeness of documentation, and appropriateness of documented clinical decisions.

Authors:  P C Tang; M P LaRosa; S M Gorden
Journal:  J Am Med Inform Assoc       Date:  1999 May-Jun       Impact factor: 4.497

10.  Physician reporting compared with medical-record review to identify adverse medical events.

Authors:  A C O'Neil; L A Petersen; E F Cook; D W Bates; T H Lee; T A Brennan
Journal:  Ann Intern Med       Date:  1993-09-01       Impact factor: 25.391

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  6 in total

1.  Accelerating Chart Review Using Automated Methods on Electronic Health Record Data for Postoperative Complications.

Authors:  Zhen Hu; Genevieve B Melton; Nathan D Moeller; Elliot G Arsoniadis; Yan Wang; Mary R Kwaan; Eric H Jensen; Gyorgy J Simon
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

Review 2.  Availability and quality of routine morbidity data: review of studies in South Africa.

Authors:  Rifqah A Roomaney; Victoria Pillay-van Wyk; Oluwatoyin F Awotiwon; Edward Nicol; Jané D Joubert; Debbie Bradshaw; Lyn A Hanmer
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

3.  Is the routine health information system ready to support the planned national health insurance scheme in South Africa?

Authors:  Edward Nicol; Lyn A Hanmer; Ferdinand C Mukumbang; Wisdom Basera; Andiswa Zitho; Debbie Bradshaw
Journal:  Health Policy Plan       Date:  2021-06-01       Impact factor: 3.344

4.  Factors Associated with the Timeliness of Electronic Nursing Documentation.

Authors:  Meejung Ahn; Mona Choi; YoungAh Kim
Journal:  Healthc Inform Res       Date:  2016-10-31

5.  Assessing the quality of medication documentation: development and feasibility of the MediDocQ instrument for retrospective chart review in the hospital setting.

Authors:  Antje Hammer; Anke Wagner; Monika A Rieger; Tanja Manser
Journal:  BMJ Open       Date:  2019-11-18       Impact factor: 2.692

6.  Hospital mortality statistics in Tanzania: availability, accessibility, and quality 2006-2015.

Authors:  Irene R Mremi; Susan F Rumisha; Mercy G Chiduo; Chacha D Mangu; Denna M Mkwashapi; Coleman Kishamawe; Emanuel P Lyimo; Isolide S Massawe; Lucas E Matemba; Veneranda M Bwana; Leonard E G Mboera
Journal:  Popul Health Metr       Date:  2018-11-20
  6 in total

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