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Kenya’s doctors threaten to join strike by nurses, citing increased workload in hospitals
Doctors say they may join the nurses' walkout unless the government resolves staffing and pay disputes within seven days.
- On Tuesday, the Kenya Medical Practitioners, Pharmacists and Dentists Union threatened to join the ongoing nurses' strike, giving the government seven days to resolve the dispute or face a wider walkout.
- Nurses have been striking for six weeks, demanding implementation of a 2017 collective bargaining agreement that remains unimplemented due to what the government has termed budgetary constraints.
- Dr. Davji Bhimji Atellah, KMPDU secretary-general, said doctors are overburdened and "cannot do the nursing jobs," while hundreds of nurses marched to the Council of Governors office on Tuesday demanding nine years of arrears.
- Nandi County Senator Samson Cherargei told The Senate on Tuesday there has been a "surge in deaths," blaming the COG and the Salaries and Remuneration Commission for the national crisis.
- The COG and the Salaries and Remuneration Commission were scheduled to meet on Tuesday to discuss remuneration, while COG chair Ahmed Abdullahi previously urged nurses to call off their strike for negotiations.
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The Toronto StarReposted by 
The Seattle Times
The Seattle TimesKenya’s doctors threaten to join strike by nurses, citing increased workload in hospitals
NAIROBI, Kenya (AP) — Doctors in Kenya on Tuesday threatened to join a walkout by nurses that is now in its sixth week, citing an increased workload in hospitals as
·Toronto, Canada
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Associated Press News+8 Reposted by 8 other sources
Kenya's doctors threaten to join strike by nurses, citing increased workload in hospitals
Doctors in Kenya have threatened to join a strike by nurses that has entered a sixth week, citing an increased workload in hospitals as they cover for the impact of the industrial action.
·New York, United States
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Coverage Details
Total News Sources12
Leaning Left7Leaning Right3Center2Last UpdatedBias Distribution58% Left
Bias Distribution
- 58% of the sources lean Left
58% Left
L 58%
C 17%
R 25%
Factuality
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