title: Workload Indicators of Staffing Need method in determining optimal staffing levels at Moi Teaching and Referral Hospital.
abstract: BACKGROUND
  There is an increasing demand for quality healthcare in the face of limited resources. With the health personnel consuming up to three quarters of recurrent budgets, a need arises to ascertain that a workforce for any health facility is the optimal level needed to produce the desired product.
  
  
  OBJECTIVE
  To highlight the experience and findings of an attempt at establishing the optimal staffing levels for a tertiary health institution using the Workload Indicators of Staffing Need (WISN) method popularised by the World Health Organisation (WHO), Geneva, Switzerland.
  
  
  METHODS
  A descriptive study that captures the activities of a taskforce appointed to establish optimal staffing levels.
  
  
  METHODS
  Moi Teaching and Referral Hospital (MTRH), Eldoret, Kenya, a tertiary hospital in the Rift Valley province of Kenya from September 2005 to May 2006.
  
  
  METHODS
  The cadres of workers, working schedules, main activities, time taken to accomplish the activities, available working hours, category and individual allowances, annual workloads from the previous year's statistics and optimal departmental establishment of workers.
  
  
  RESULTS
  There was initial resentment to the exercise because of the notion that it was aimed at retrenching workers. The team was given autonomy by the hospital management to objectively establish the optimal staffing levels. Very few departments were optimally established with the majority either under or over staffed. There were intradepartmental discrepancies in optimal levels of cadres even though many of them had the right number of total workforce.
  
  
  CONCLUSIONS
  The WISN method is a very objective way of establishing staffing levels but requires a dedicated team with adequate expertise to make the raw data meaningful for calculations.
authors.affiliation: Department of Surgery, Moi Teaching and Referral Hospital, P.O. Box 4606-30100, Eldoret, Kenya.
authors.forename: P
authors.initials: P
authors.lastname: Musau
authors.forename: P
authors.initials: P
authors.lastname: Nyongesa
authors.forename: A
authors.initials: A
authors.lastname: Shikhule
authors.forename: E
authors.initials: E
authors.lastname: Birech
authors.forename: D
authors.initials: D
authors.lastname: Kirui
authors.forename: M
authors.initials: M
authors.lastname: Njenga
authors.forename: D
authors.initials: D
authors.lastname: Mbiti
authors.forename: A
authors.initials: A
authors.lastname: Bett
authors.forename: L
authors.initials: L
authors.lastname: Lagat
authors.forename: K
authors.initials: K
authors.lastname: Kiilu
mesh_terms: D006301:Health Services Needs and Demand / Q000706:statistics & numerical data*; D006784:Hospitals, Teaching / Q000191:economics; D006801:Humans; D007630:Kenya; D008505:Medical Staff, Hospital / Q000600:supply & distribution*; D010561:Personnel Staffing and Scheduling / Q000191:economics / Q000706:statistics & numerical data*; D011787:Quality of Health Care; D000078329:Workforce; D016526:Workload / Q000706:statistics & numerical data*