Linking health facility data from young adults aged 18-24 years to longitudinal demographic data: Experience from The Kilifi Health and Demographic Surveillance System [version 2; peer review: 2 approved]
File(s)Nyundo_C_2020.pdf (367.99 KB)
Published version
Author(s)
Type
Journal Article
Abstract
Background: In 2014, a pilot study was conducted to test the feasibility of linking clinic attendance data for young adults at two health facilities to the population register of the Kilifi Health and Demographic Surveillance System (KHDSS). This was part of a cross-sectional survey of health problems of young people, and we tested the feasibility of using the KHDSS platform for the monitoring of future interventions. Methods: Two facilities were used for this study. Clinical data from consenting participants aged 18-24 years were matched to KHDSS records. Data matching was achieved using national identity card numbers or otherwise using a matching algorithm based on names, sex, date of birth, location of residence and the names of other homestead members. A study form was administered to all matched patients to capture reasons for their visits and time taken to access the services. Distance to health facility from a participants' homestead was also computed. Results: 628 participated in the study: 386 (61%) at Matsangoni Health Centre, and 242 (39%) at Pingilikani Dispensary. 610 (97%) records were matched to the KHDSS register. Most records (605; 96%) were matched within these health facilities, while 5 (1%) were matched during homestead follow-up visits. 463 (75.9%) of those matched were women. Antenatal care (25%), family planning (13%), respiratory infections (9%) and malaria (9%) were the main reasons for seeking care. Antenatal clinic visits (n=175) and malaria (n=27) were the commonest reasons among women and men, respectively. Participants took 1-1.5 hours to access the services; 490 (81.0%) participants lived within 5 kilometres of a facility. Conclusions: With a full-time research clerk at each health facility, linking health-facility attendance data to a longitudinal HDSS platform was feasible and could be used to monitor and evaluate the impact of health interventions on health care outcomes among young people.
Date Issued
2020-02-27
Date Acceptance
2020-02-21
Citation
Wellcome Open Res, 2020, 2 (51), pp.1-14
ISSN
2398-502X
Publisher
Wellcome Open Research
Start Page
1
End Page
14
Journal / Book Title
Wellcome Open Res
Volume
2
Issue
51
Copyright Statement
© 2020 Nyundo C et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor
Wellcome Trust
Wellcome Trust
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/32175477
Grant Number
091758/B/10/Z
202800/Z/16/Z
Subjects
Adolescent Health
Demographic Surveillance
Kenya
Record linkage
Publication Status
Published online
Coverage Spatial
England
Date Publish Online
2020-02-27