Family Nurse Partnership evaluation: methods and process
This paper presents the methods of using routinely collected health, education and social care data to evaluate the Family Nurse Partnership (FNP) in Scotland using a natural experiment methodology.
8. References
1. Hall D, Hall S. The “Family-Nurse Partnership”: developing an instrument for identification, assessment and recruitment of Clients. 2007;115.
2. Ekeus C, Christensson K, Hjern A. Unintentional and violent injuries among pre-school children of teenage mothers in Sweden: a national cohort study. J Epidemiol Community Heal. 2004;58(8):680–5.
3. Manktelow BN, Smith L, Prunet C, Smith P, Boby T, Hyman-Taylor P, et al. MBRRACE-UK Perinatal Mortality Surveillance Report, UK Perinatal Deaths for Births from January to December 2015. Leicester; 2017.
4. McAndrew F, Thompson J, Fellows L, Large A, Speed M, Renfrew MJ. Infant feeding survey 2010. Leeds; 2012.
5. Chen X-K, Wen SW, Fleming N, Demissie K, Rhoads GG, Walker M. Teenage pregnancy and adverse birth outcomes: a large population based retrospective cohort study. Int J Epidemiol. 2007;36(2):368–73.
6. Olds D. Prenatal and Infancy Home Visiting by Nurses: From Randomized Trials to Community Replication. Prev Scien. 2002;3(3):153–72.
7. Wimbush E, Geddes R, Woodman K, Craig P, Jepson R. Evaluability assessment of the Family Nurse Partnership in Scotland. 2015;(March). Available from: http://www.healthscotland.com/uploads/documents/26102-Family Nurse Partnership Evaluability Assessment Report.pdf
8. Craig P, Vittal Katikireddi S, Leyland A, Popham F. Natural Experiments: An Overview of Methods, Approaches, and Contributions to Public Health Intervention Research. Annu Rev Public Heal [Internet]. 2017 [cited 2017 Jul 11];38:39–56. Available from: https://doi.org/10.1146/annurev-publhealth-031816-044327
9. Craig P, Cooper C, Gunnell D, Haw S, Lawson K, Macintyre S, et al. Using natural experiments to evaluate population health interventions: new Medical Research Council guidance. J Epidemiol Community Heal [Internet]. 2012 [cited 2017 Jul 19];66:1182–6. Available from: http://jech.bmj.com/content/jech/66/12/1182.full.pdf
10. Information Services Division. A National Statistics publication for Scotland: Births in Scottish Hospitals [Internet]. 2018 [cited 2019 Apr 1]. Available from: https://www.statisticsauthority.gov.uk/national-statistician/types-of-official-statistics/
11. eDRIS Team. Researcher guide : requesting outputs from Safe Haven and disclosure control. 2018.
12. Leyrat C, Seaman SR, White IR, Douglas I, Smeeth L, Kim J, et al. Propensity score analysis with partially observed confounders: how should multiple imputation be used? Stat Methods Med Res. 2016;
13. Gilbert R, Lafferty R, Hagger-Johnson G, Harron K, Zhang L-C, Smith P, et al. GUILD: GUidance for Information about Linking Data sets†. J Public Health (Bangkok) [Internet]. 2017;(November):1–8. Available from: https://academic.oup.com/jpubhealth/article-lookup/doi/10.1093/pubmed/fdx037
14. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ. British Medical Journal Publishing Group; 2007 Oct;335(7624):806–8.
15. Benchimol EI, Smeeth L, Guttmann A, Harron K, Moher D, Petersen I, et al. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement. PLoS Med [Internet]. 2015 [cited 2017 Sep 8];12(10):e1001885. Available from: http://journals.plos.org/plosmedicine/article/file?id=10.1371/journal.pmed.1001885&type=printable
16. Des Jarlais DC, Lyles C, Crepaz N, the TREND Group. Improving the reporting quality of nonrandomized evaluations of behavioral and public health interventions: the TREND statement. Am J Public Health [Internet]. American Public Health Association; 2004 Mar 10 [cited 2017 Nov 27];94(3):361–6. Available from: http://www.ncbi.nlm.nih.gov/pubmed/14998794
17. IBM. IBM SPSS Statistics for Windows: Version 22.0. IBM Corp; 2013.
18. StataCorp. Stata Statistical Software: Release 15. 2017. 2017.
19. NHS NSS. Statistical Disclosure Control Protocol. 2015.
20. U.S. Department of Health & Human Services. Home Visiting Evidence of Effectiveness [Internet]. [cited 2017 Nov 27]. Available from: https://homvee.acf.hhs.gov/
21. Heckman JJ, Holland ML, Makino KK, Pinto R, Rosales-Rueda M. An Analysis of the Memphis Nurse-Family Partnership Program. NBER Work Pap [Internet]. 2017;23610. Available from: http://www.nber.org/papers/w23610%0Ahttp://www.nber.org/papers/w23610
22. Information Commissioners Office. Anonymisation: managing data protection risk code of practice [Internet]. 2012 [cited 2017 Nov 27]. Available from: https://ico.org.uk/media/1061/anonymisation-code.pdf
23. White IR, Wood AM. Multiple imputation using chained equations : Issues and guidance for practice. Stat Med. 2011;30(4):377–99.
24. Gardosi J. GROW documentation [Internet]. 2017 [cited 2017 Nov 27]. Available from: https://www.gestation.net/grow_documentation.pdf
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