. 2015 Nov 4;31(5):600–611. doi: 10.1093/heapol/czv107

Table 2.

Characteristics of academic-policymaker relations across Kenyan Schools of Public Health (SPHs)

	1	2	3	4	5		6		7
Institution	No. Full-time faculty respondents	Total no. PM mentioned	No. unique PMs	Network size	Prevalence of PM relations^a		Diversity of academic-policymaker relations
					No.	%	Max degree^b	Avg degree	No. shared^c PMs	% shared PMs
MUSOPH	22	43	36	60	16	72	7	1.95	5	14%
SPHUoN	15	34	27	42	12	80	4	2.27	4	15%
GLUK	29	49	27	57	16	55	7	1.69	9	33%
ESPUDEC	24	21	16	39	13	52	3	0.88	4	25%
KEMU	17	17	15	34	7	41	6	1.00	2	13%
KUSPH	17	40	31	48	12	71	7	2.35	5	16%
TOTAL	124	204	*Unique* PMs across all SPHs: 109		76	61	n/a		n/a

^aPrevalence of academic-policymaker relations: absolute no. of faculty connected to ≥1 policymaker; Proportion of same (Col 5/Col 2).

^bDegree of academic-policymaker relations: maximum no. of policymaker (PM) contacts mentioned by any one faculty at the SPH; Avg no. of relations (Col 2/Col 1).

^cShared academic-policymaker relations: total no. of shared policymaker (PM) contacts in network; Proportion of relations shared (Col 7/Col 3).Bolded entries are rows of cumulative totals so as not to be confused with the rows above.