title: Satisfaction with the humanitarian response to the 2010 Pakistan floods: a call for increased accountability to beneficiaries.
abstract: OBJECTIVE
  Ascertain recipients' level of satisfaction with humanitarian response efforts.
  
  
  METHODS
  A multi-stage, 80×20 cluster sample randomized survey (1800 households) with probability proportional to size of households affected by the 2010 Indus river floods in Pakistan. The floods affected over 18 million households and led to more than 8 billion USD in response dollars.
  
  
  RESULTS
  Less than 20% of respondents reported being satisfied with response, though a small increase in satisfaction levels was observed over the three time periods of interest. Within the first month, receipt of hygiene items, food and household items was most strongly predictive of overall satisfaction. At 6 months, positive receipt of medicines was also highly predictive of satisfaction. The proportion of households reporting unmet needs remained elevated throughout the 6-month period following the floods and varied from 50% to 80%. Needs were best met between 1 and 3 months postflood, when response was at its peak. Unmet needs were the greatest at 6 months, when response was being phased down.
  
  
  CONCLUSIONS
  Access-limiting issues were rarely captured during routine monitoring and evaluation efforts and seem to be a significant predictor in dissatisfaction with relief efforts, at least in the case of Pakistan, another argument in favor of independent, population-based surveys of this kind. There is also need to better identify and serve those not residing in camps. Direct surveys of the affected population can be used operationally to assess ongoing needs, more appropriately redirect humanitarian resources, and ultimately, judge the overall quality of a humanitarian response.
authors.affiliation: Department of Emergency Medicine, The Johns Hopkins School of Medicine, 5801 Smith Ave, Davis 200, Baltimore, MD 21209, USA. tkirsch1@jhmi.edu
authors.forename: Thomas
authors.initials: T
authors.lastname: Kirsch
authors.forename: Muhammad Ahmed
authors.initials: MA
authors.lastname: Siddiqui
authors.forename: Paul Clayton
authors.initials: PC
authors.lastname: Perrin
authors.forename: W Courtland
authors.initials: WC
authors.lastname: Robinson
authors.forename: Lauren M
authors.initials: LM
authors.lastname: Sauer
authors.forename: Shannon
authors.initials: S
authors.lastname: Doocy
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016000:Cluster Analysis; D004189:Disaster Planning / Q000592:standards; D055868:Floods / Q000706:statistics & numerical data; D005523:Food Supply / Q000706:statistics & numerical data*; D006297:Health Services Accessibility; D006301:Health Services Needs and Demand; D006801:Humans; D016015:Logistic Models; D008875:Middle Aged; D010154:Pakistan; D010549:Personal Satisfaction; D012066:Relief Work / Q000592:standards*; D012111:Residence Characteristics; D012424:Rural Population; D012941:Social Responsibility; D017741:Survivors / Q000523:psychology* / Q000706:statistics & numerical data; D014505:Urban Population; D055815:Young Adult