Literature DB >> 21131382

Comparative analysis of exit interviews and direct clinical observations in pediatric ambulatory care services in Afghanistan.

J Onishi1, S Gupta, D H Peters.   

Abstract

OBJECTIVE: To assess the receiver operating curves (ROCs) for counseling in the management of common childhood diseases comparing direct observations with exit interviews.
DESIGN: Eight thousand six hundred and fifty-nine randomly selected new outpatient consultations of sick children under 5 years were assessed by observation using a standardized checklist and an exit interview with their parent/guardian, taken between 2005 and 2007 from 948 health facilities in Afghanistan. The observation checklist was used as a 'gold standard' for counseling provided. MAIN MEASURE: Sensitivity, specificity and ROCs were estimated for five counseling items, including explanations of: a working diagnosis; what to do at home; possible adverse reactions to medicine; signs that require a return to the health facility; and a time to return.
RESULTS: The prevalence of counseling items was relatively low (ranging from 8 to 80%), but generally increasing each year. Exit interviews had relatively low levels of sensitivity for the counseling items, ranging from 33 to 88%, with higher levels of specificity (ranging from 63 to 91%), whereas the ROCs ranged from 61 to 77%. Although ROCs varied significantly from year to year (P < 0.002 for each item), there was little difference based on the sex or type of the health provider.
CONCLUSIONS: Exit interviews did not provide reliable measurements of provider performance compared with direct observations. Observations identified low prevalence of counseling tasks though increasing over time. The differences between observation and exit interviews identified significant gaps in communication, suggesting that exit interviews are of low accuracy and should not be used alone.

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Year:  2010        PMID: 21131382     DOI: 10.1093/intqhc/mzq074

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  7 in total

1.  How to do (or not to do) … using the standardized patient method to measure clinical quality of care in LMIC health facilities.

Authors:  Jessica J C King; Jishnu Das; Ada Kwan; Benjamin Daniels; Timothy Powell-Jackson; Christina Makungu; Catherine Goodman
Journal:  Health Policy Plan       Date:  2019-10-01       Impact factor: 3.344

Review 2.  In urban and rural India, a standardized patient study showed low levels of provider training and huge quality gaps.

Authors:  Jishnu Das; Alaka Holla; Veena Das; Manoj Mohanan; Diana Tabak; Brian Chan
Journal:  Health Aff (Millwood)       Date:  2012-12       Impact factor: 6.301

3.  Validation of a new method for testing provider clinical quality in rural settings in low- and middle-income countries: the observed simulated patient.

Authors:  Tin Aung; Dominic Montagu; Karen Schlein; Thin Myat Khine; Willi McFarland
Journal:  PLoS One       Date:  2012-01-23       Impact factor: 3.240

4.  Use of standardised patients to assess quality of healthcare in Nairobi, Kenya: a pilot, cross-sectional study with international comparisons.

Authors:  Benjamin Daniels; Amy Dolinger; Guadalupe Bedoya; Khama Rogo; Ana Goicoechea; Jorge Coarasa; Francis Wafula; Njeri Mwaura; Redemptar Kimeu; Jishnu Das
Journal:  BMJ Glob Health       Date:  2017-06-10

5.  A systematic tale of two differing reviews: evaluating the evidence on public and private sector quality of primary care in low and middle income countries.

Authors:  Jorge Coarasa; Jishnu Das; Elizabeth Gummerson; Asaf Bitton
Journal:  Global Health       Date:  2017-04-12       Impact factor: 4.185

6.  Association Between the Quality of Contraceptive Counseling and Method Continuation: Findings From a Prospective Cohort Study in Social Franchise Clinics in Pakistan and Uganda.

Authors:  Nirali M Chakraborty; Karen Chang; Benjamin Bellows; Karen A Grépin; Waqas Hameed; Amanda Kalamar; Xaher Gul; Lynn Atuyambe; Dominic Montagu
Journal:  Glob Health Sci Pract       Date:  2019-03-29

7.  Does enrollment status in community-based insurance lead to poorer quality of care? Evidence from Burkina Faso.

Authors:  Paul Jacob Robyn; Till Bärnighausen; Aurélia Souares; Germain Savadogo; Brice Bicaba; Ali Sié; Rainer Sauerborn
Journal:  Int J Equity Health       Date:  2013-05-16
  7 in total

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