PMID- 30112301
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220318
IS  - 2249-4863 (Print)
IS  - 2278-7135 (Electronic)
IS  - 2249-4863 (Linking)
VI  - 7
IP  - 3
DP  - 2018 May-Jun
TI  - Monitoring of birth registry coverage and data quality utilizing lot quality 
      assurance sampling methodology: A pilot study.
PG  - 522-525
LID - 10.4103/jfmpc.jfmpc_59_17 [doi]
AB  - BACKGROUND: Effectively monitoring the coverage and quality of data in 
      low-resource settings is challenging. Lot quality assurance sampling (LQAS) is a 
      method to classify coverage as adequate or inadequate. The aim of this pilot 
      study is sought to determine the coverage and quality of a birth registry in a 
      rural district in Pakistan. METHODS: This survey was conducted in 14 clusters of 
      Thatta, Pakistan. LQAS methodology was used to monitor the birth registry from 
      December 2015 to February 2016. We randomly selected 19 villages from each 
      cluster. We used a short questionnaire to review the quality of data collection 
      for select variables. Frequency and percentages were reported for categorical 
      variables. For data validation, Kappa statistics (kappa) were applied to assess the 
      agreement between categorical observations, and the Bland-Altman test was used to 
      assess agreement for continuous data. RESULTS: Of the 14 clusters sampled, 12 
      clusters had adequate coverage. Agreement of hemoglobin performance between the 
      women's response and information in birth registry data was good (kappa = 0.718) (95% 
      confidence interval [CI]: 0.58-0.82); agreement on birth outcome recorded by the 
      workers in the registry and as mentioned by women was very good (kappa = 1.0); and 
      agreement whether birth weight was assessed within 48 h of delivery was good (kappa = 
      0.648) (0.37-0.92). CONCLUSION: LQAS is a powerful tool to monitor coverage and 
      data quality of the birth registry maintained by the global network for women's 
      and children's health in Pakistan and potentially for data from other 
      surveillance systems.
FAU - Tikmani, Shiyam Sunder
AU  - Tikmani SS
AD  - Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
FAU - Saleem, Sarah
AU  - Saleem S
AD  - Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
FAU - McClure, Elizabeth
AU  - McClure E
AD  - Research Triangle Institute International, North Carolina, New York, USA.
FAU - Naqvi, Farnaz Zehra
AU  - Naqvi FZ
AD  - Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
FAU - Abrejo, Farina
AU  - Abrejo F
AD  - Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
FAU - Soomro, Zahid
AU  - Soomro Z
AD  - Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan.
FAU - Wallace, Dennis
AU  - Wallace D
AD  - Research Triangle Institute International, North Carolina, New York, USA.
FAU - Goldenberg, Robert L
AU  - Goldenberg RL
AD  - Department of Obstetrics and Gynecology, University of Columbia, New York, USA.
LA  - eng
GR  - U10 HD078438/HD/NICHD NIH HHS/United States
PT  - Journal Article
PL  - India
TA  - J Family Med Prim Care
JT  - Journal of family medicine and primary care
JID - 101610082
PMC - PMC6069668
OTO - NOTNLM
OT  - Birth registry
OT  - coverage
OT  - data quality
OT  - monitoring
COIS- There are no conflicts of interest.
EDAT- 2018/08/17 06:00
MHDA- 2018/08/17 06:01
PMCR- 2018/05/01
CRDT- 2018/08/17 06:00
PHST- 2018/08/17 06:00 [entrez]
PHST- 2018/08/17 06:00 [pubmed]
PHST- 2018/08/17 06:01 [medline]
PHST- 2018/05/01 00:00 [pmc-release]
AID - JFMPC-7-522 [pii]
AID - 10.4103/jfmpc.jfmpc_59_17 [doi]
PST - ppublish
SO  - J Family Med Prim Care. 2018 May-Jun;7(3):522-525. doi: 
      10.4103/jfmpc.jfmpc_59_17.