Ensuring quality in a surveillance system for maternal and newborn health: A proposed study protocol

Shiyam Sunder Tikmani, Sumera Aziz Ali, Anam Shahil Feroz, Sarah Saleem

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Lot Quality Assurance Sampling (LQAS) is a special form of cross-sectional study which classifies exposure or outcome into binary categories such as adequate or inadequate. LQAS can be used at a local level with the modest amount of supervision to empower local supervisors and to identify successes and challenges in their supervision areas. Through LQAS, a small sample size of 35 subjects per supervision area will provide enough evidence for the local supervisors to ensure coverage and quality data. The study aims to assess the coverage of maternal and newborn health birth registry and data quality in Thatta district of Pakistan using LQAS methodology. The study will employ LQAS methodology which is a special form of cross-sectional study design. The study will be conducted in Thatta District of Karachi, Pakistan about a representative sample of married women of reproductive age (15-45 years) in order to evaluate data quality and coverage of maternal and newborn health birth registry, and to investigate reasons for non-coverage and poor data quality. The study will determine coverage and quality of maternal and newborn health birth registry in Thatta District of Karachi. The study will inform areas such as identification of supervision area with low coverage, find out the reason for low coverage and help worker to cover the area. For example, provide transport and training to ensure maximum coverage and data quality of MNH registry. The study will help to assess broad range of local health problems concerning MNH registry and will help to determine the performance of individual subunits in a given area to ensure quality management of health services.

Original languageUndefined/Unknown
JournalCommunity Health Sciences
Publication statusPublished - 1 Aug 2018

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