Part 7: NSW Hospitals

Abstract

The highest rate of normal vaginal birth was among residents of Far West Health Area (76.4 per cent), while the highest rate of instrumental delivery was in South Eastern Sydney Health Area (15.0 per cent).

Data cleaning and management protocols for linked perinatal research data: a good practice example from the Smoking MUMS (Maternal Use of Medications and Safety) Study

“…In this perinatal cross-jurisdictional data linkage study, we developed a series of steps to identify, and where appropriate, correct inconsistent data values. The methods were based on standard and reliable content data items [ 22 , 23 ], and thus can be adopted in other perinatal research. The methods included a stepwise approach to resolving disparities in linkage performed by different linkage units and identifying women who had records in more than one State, for whom integration of records is required for analyses.…”

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Steps 1 to 3 examined the uniqueness of records.

Steps 4 to 8 checked the consistency within and across pregnancies based on perinatal data items, including baby date of birth (DOB), parity, pregnancy plurality, birth order, gestational age, and birthweight. These variables were used because previous validation studies have reported high levels of accuracy in their recording [22, 23]. Parity was defined as the number of previous pregnancies ≥20 weeks and numerically coded (e.g.

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“…These variables were used because previous validation studies have reported high levels of accuracy in their recording [22, 23]. Parity was defined as the number of previous pregnancies ≥20 weeks and numerically coded (e.g.…”

“…These steps capitalised on the availability of the same information (e.g. baby DOB, interchangeably date of delivery, mother’s month and year of birth) in multiple data sets and validity of these variables [ 22 , 23 ].

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