Literature DB >> 24758160

Respondents' recall of injury events: an investigation of recall bias in cross-sectional injury data from the Sudan Household Health Survey 2010.

Safa Abdalla1, Nahid Abdelgadir, Saeid Shahraz, Kavi Bhalla.   

Abstract

Recall bias is a well-documented limitation of population-based cross-sectional injury surveys. To fill some gaps in this area, we investigated the extent and nature of recall bias in Sudan Household Health Survey (SHHS 2010) injury data. The extent of incomplete recall was measured by comparing the total reported injuries over 12 months with the annualised number of injuries in the four weeks preceding the survey. Multivariable logistic regression was used to investigate the association of socio-demographic variables, injury attributes and interviewee characteristics with differential recall. Relevant interactions were tested. Overall, reported injuries were 33% of the expected. Injuries among children 1-4 years had lower odds of being reported to have occurred earlier than the four weeks preceding the survey than people aged 65 years and over (OR = 0.24, 95% CI 0.12-0.47). Injuries that received inpatient care in the first week were more likely to be recalled than those that did not receive care (OR = 2.07, 95% CI 1.14-3.75). Respondent's age was associated with differential recall. Differential injury recall should be considered when using SHHS 2010 to compare injury occurrence between children under five and older groups or at the level of health care received.

Entities:  

Keywords:  Sudan; injury; recall bias

Mesh:

Year:  2014        PMID: 24758160     DOI: 10.1080/17457300.2014.908222

Source DB:  PubMed          Journal:  Int J Inj Contr Saf Promot        ISSN: 1745-7300


  3 in total

1.  Too Many Blood Donors - Response Bias in the Swiss Health Survey 2012.

Authors:  Thomas Volken; Andreas Bänziger; Andreas Buser; Damiano Castelli; Stefano Fontana; Beat M Frey; Amira Sarraj; Jörg Sigle; Jutta Thierbach; Tina Weingand; Behrouz Mansouri-Taleghani
Journal:  Transfus Med Hemother       Date:  2016-10-07       Impact factor: 3.747

2.  Modelling memory decay after injuries using household survey data from Khartoum State, Sudan.

Authors:  Ivar Heuch; Safa Abdalla; Sally El Tayeb
Journal:  BMC Med Res Methodol       Date:  2018-06-20       Impact factor: 4.615

3.  Availability of population-level data sources for tracking the incidence of deaths and injuries from road traffic crashes in low-income and middle-income countries.

Authors:  Sudeshna Mitra; Kazuyuki Neki; Leah Watetu Mbugua; Hialy Gutierrez; Leen Bakdash; Mercer Winer; Ramshankar Balasubramaniyan; Jaeda Roberts; Theo Vos; Erin Hamilton; Mohsen Naghavi; James E Harrison; R F Soames Job; Kavi Bhalla
Journal:  BMJ Glob Health       Date:  2021-11
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.