scholarly journals The National Survey on Population and Family Health (NSPFH), Morocco-2018: a Data Quality Assessment

2021 ◽  
Vol 319 ◽  
pp. 01010
Author(s):  
Abdelghani Asraoui ◽  
Chems Eddouha Khassouani ◽  
Abdelmajid Soulaymani

The National Survey on Population and Family Health (NSPFH) is an important source of data in Morocco. Its objective is to assess, periodically, the state of population health and the impact of policies and programs put in place, by updating the main demographic and health indicators. The report of the sixth NSPFH, conducted during the period October 2017-January 2018, illustrates updated socio-demographic data and the new prevalence of several diseases. As the NSPFH results are a reference for decision-makers, researchers and professionals, it seems necessary to promote them and give them more credibility. The objective of this paper is to verify the reliability of the NSPFH data and results using demographic data quality assessment methods (graphic methods: age-gender pyramid and distribution by gender and area of residency, and statistical methods: non-response rate and age accuracy indexes) to ensure if they are of good quality. This study showed that the NSPFH-2018 data were of good quality. Indeed, the non-response rate did not exceed 1.1% for all questionnaires (household 1.1%, woman 0.5% and elderly 1.1%). The age-gender pyramid confirmed the demographic transition towards ageing and the downward trend of fertility in Morocco. The distribution by area of residency confirmed the trend towards urbanization of the country (61% urban and 39% rural). The Whipple (1.05), Myers (4.73), Bachi (2.31) indexes and the United Nations Combined Index (31.21) were all within the standards for a good quality of age declaration. In addition, the results were consistent with each other and in line with the national and international health context.

Author(s):  
Nemanja Igić ◽  
Branko Terzić ◽  
Milan Matić ◽  
Vladimir Ivančević ◽  
Ivan Luković

2018 ◽  
Vol 7 (4) ◽  
pp. e000353 ◽  
Author(s):  
Luke A Turcotte ◽  
Jake Tran ◽  
Joshua Moralejo ◽  
Nancy Curtin-Telegdi ◽  
Leslie Eckel ◽  
...  

BackgroundHealth information systems with applications in patient care planning and decision support depend on high-quality data. A postacute care hospital in Ontario, Canada, conducted data quality assessment and focus group interviews to guide the development of a cross-disciplinary training programme to reimplement the Resident Assessment Instrument–Minimum Data Set (RAI-MDS) 2.0 comprehensive health assessment into the hospital’s clinical workflows.MethodsA hospital-level data quality assessment framework based on time series comparisons against an aggregate of Ontario postacute care hospitals was used to identify areas of concern. Focus groups were used to evaluate assessment practices and the use of health information in care planning and clinical decision support. The data quality assessment and focus groups were repeated to evaluate the effectiveness of the training programme.ResultsInitial data quality assessment and focus group indicated that knowledge, practice and cultural barriers prevented both the collection and use of high-quality clinical data. Following the implementation of the training, there was an improvement in both data quality and the culture surrounding the RAI-MDS 2.0 assessment.ConclusionsIt is important for facilities to evaluate the quality of their health information to ensure that it is suitable for decision-making purposes. This study demonstrates the use of a data quality assessment framework that can be applied for quality improvement planning.


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