From our colleagues at The Oxford Health Systems Collaboration (OHSCAR)
Inadequate health systems make many existing and potential future health interventions impotent. Nowhere are such effects more apparent than in Africa which continues to post the worst health indicators globally. A protocol was published on some of their work in this area:
Murphy GAV, Gathara D, Aluvaala J, et al. Nairobi Newborn Study: a protocol for an observational study to estimate the gaps in provision and quality of inpatient newborn care in Nairobi City County, Kenya. BMJ Open 2016;6:e012448. doi:10.1136/bmjopen-2016- 012448.
From the paper: This project aims to assess the availability and quality of inpatient newborn care in hospitals in Nairobi City County across the public, private and not-for-profit sectors and align this to the estimated need for such services, providing a description of the quantity and quality gaps between capacity and demand. The population level burden of disease will be estimated using morbidity incidence estimates from a literature review applied to subcounty estimates of population-adjusted births, providing a spatially disaggregated estimate of need within the county. This will be followed by a survey of neonatal services across all health facilities providing 24/7 inpatient newborn care in the county. The survey will include: a retrospective audit of admission registers to estimate the usage of facilities and case-mix of patients; a structural assessment of facilities to gain insight into capacity; a questionnaire to nursing staff focusing on the process of delivering key obstetric and neonatal interventions; and a retrospective case audit to assess adherence to guidelines by clinicians.
In addition to this published protocol, the researchers have shared their data collection instruments and Standard Operating Procedures, as well as access to a template data collection portal, in order to help to build research capacity. You can access these documents on the links below, and access to the portal is provided below that.
If you require any more information, please email Dr Georgina Murphy directly.
NOTE: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Documents:
1. Nairobi Newborn Study Handbook
2. Standard Operating Procedure 2.0 [SOP2.0]: Establishing eligibility and obtaining permission from facilities
3. Visiting facilities to obtain permission procedure
4. Information sheet for facility participation
5. Structural assessment data collection form
6. Standard Operating Procedure 3 [SOP3]: Structural assessment
7. Standard Operating Procedure 3.2 (SOP3.2): Structural assessment data entry
8. Standard Operating Procedure 5.0 [SOP5.0]: Nursing interview
9. Nursing questionnaire: Interviewee selection record form
10. Information sheet and consent form for nursing questionnaire
12. Nursing questionnaire - Instructions
13. Nursing questionnaire vignettes instructions
14. Standard Operating Procedure 4.0 [SOP4.0]: Process of data entry from registers and records
15. Maternal admissions sampling sheet
16. Maternal admission register
17. Standard Operating Procedure 4.1 [SOP4.1]: Data entry from maternal admission register
18. Neonatal admission register
19. Neonatal Medical Record data collection form
20. Standard Operating Procedure 6 [SOP6]: Data management
21. Project proposal: Inpatient newborn care in Nairobi City County
For the data collection forms above, the PDF versions are tricky to interpret as they do not show how the e-version of the forms actually appeared, with skips etc in place.
The study team have therefore created a guest version of REDCap, the tool used to collect the data, so that people can see how they work:
Username: NNS_User
Password: Guest1234
Click Here to access the online data system.
NOTE: For the forms, you will usually have to click on the My Projects link, select the form you want to try out, and then click on the red Edit/Enter records - the first field usually being the patient ID which will then bring up the whole form to enter.
NOTE: This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.