Lessons learned from using linked administrative data to evaluate the Family Nurse Partnership in England and Scotland.

ABSTRACT:

Introduction

"Big data" - including linked administrative data - can be exploited to evaluate interventions for maternal and child health, providing time- and cost-effective alternatives to randomised controlled trials. However, using these data to evaluate population-level interventions can be challenging.

Objectives

We aimed to inform future evaluations of complex interventions by describing sources of bias, lessons learned, and suggestions for improvements, based on two observational studies using linked administrative data from health, education and social care sectors to evaluate the Family Nurse Partnership (FNP) in England and Scotland.

Methods

We first considered how different sources of potential bias within the administrative data could affect results of the

SUBMITTER: Cavallaro FL 

PROVIDER: S-EPMC10476150 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature