An integrated rural health system baseline assessment of COVID-19 preparedness in Siaya Kenya
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Abstract
Objective
Our aim was to assess Siaya county COVID-19 preparedness at community and health facility levels and measure baseline household prevalences of fever and cough.
Design
There was retrospective and prospective data collection using standard tools. We determined the prevalence of fever and cough in households. We evaluated household knowledge about COVID-19 prevention and adherence to preventive measures. We evaluated the presence of a workforce, essential infrastructure and equipment needed for COVID-19 case management, and the availability of essential maternal and child health services in health facilities.
Setting
Siaya in rural Western Kenya
Participants
households and health facilities in Siaya
Results
We visited 19’474 households and assessed 152 facilities. The prevalences of fever and cough ranged from 1.4% to 4.3% and 0.2 to 0.8% respectively; 97% and 98% of households had not received a guest from nor travelled outside Siaya respectively; 97% knew about frequent handwashing, 66% knew about keeping distance, and 80% knew about wearing a mask; 63% washed their hands countless times; 53% remained home; and 74% used a mask when out in public. The health facility assessment showed: 93.6% were dispensaries and health centers; 90.4% had nurses; 40.5% had oxygen capacity; 13.5% had pulse oximeters; and 2 ventilators were available; 94.2% of facilities did not have COVID-19 testing kits; 94% and 91% of facilities continued to provide antenatal care and immunization services respectively. Health care worker training in COVID-19 had been planned.
Conclusions
Household prevalence of fever and cough was low suggesting Siaya had not entered the active community transmission phase in June 2020. Our assessment revealed a need for training in COVID-19 case management, and a need for basic equipment and supplies including pulse oximeters and oxygen. Future interventions should address these gaps.
Strengths and limitations
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This study provides an example of how to successfully carry out an integrated rural health system baseline assessment of COVID-19 preparedness; an approach that would be useful for any country experiencing COVID-19 with a significant rural population.
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Some of our data were retrospective in nature and therefore vulnerable to multiple sources of bias including: recall bias and misclassification.
Clinical Trial registration
Clinicaltrials.gov NCT04501458 5/8/2020
Protocol
The full protocol has been accepted for publication: Kaseje N, Kaseje D, Oruenjo K, Milambo J and Kaseje M: Engaging community health workers, technology, and youth in the COVID-19 response with concurrent critical care capacity building: A protocol for an integrated community and health system intervention to reduce mortality related to COVID-19 infection in Western Kenya. Wellcome Open Research.
Ethical review approvals
received from the University of Nairobi Ethics Review Committee and Jaramogi Oginga Odinga Teaching and Referral Hospital Ethics Review Committee ( approval number IERC/JOOTR/219/20 )
Article activity feed
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SciScore for 10.1101/2021.02.07.21251312: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: Ethical review approvals: received from the University of Nairobi Ethics Review Committee and Jaramogi Oginga Odinga Teaching and Referral Hospital Ethics Review Committee. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Data were entered into excel data sheets, and SPSS 20.0 was used to analyze the data. SPSSsuggested: (SPSS, RRID:SCR_002865)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer…SciScore for 10.1101/2021.02.07.21251312: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: Ethical review approvals: received from the University of Nairobi Ethics Review Committee and Jaramogi Oginga Odinga Teaching and Referral Hospital Ethics Review Committee. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Data were entered into excel data sheets, and SPSS 20.0 was used to analyze the data. SPSSsuggested: (SPSS, RRID:SCR_002865)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:This study has several limitations:
Results from TrialIdentifier: We found the following clinical trial numbers in your paper:
Identifier Status Title NCT045014585 Trial number did not resolve on clinicaltrials.gov. Is the number correct? NA NCT04501458 Active, not recruiting Western Kenya Integrated COVID-19 Response Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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