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368  n  OUTCOMe MeASUReS



              Outcome  measures  are  often  used  in   outcomes. Outcome research in the past has
           reference  to  Donabedian’s  (1992)  structure–   strongly  relied  on  observational  research
   O       process–outcome paradigm, the predominant   often using large-scale databases. Because of
           quality  model  in  health  care.  Donabedian   its close relationship to quality and quality
           defines  outcomes  as  “states  or  conditions   improvement, a stronger focus on the imple-
           of  individuals  or  populations  attributed   mentation of quality improvement initiatives
           or  attributable  to  antecedent  healthcare”   has developed in recent years with stronger
           (p.  356).  Donabedian’s  framework  of  health   focus on interventional designs.
           care  quality,  which  integrates  measures  of   Outcome  measures  are  indicators  of  a
           structures, processes, and outcome, has been   change  of  patient  health  status,  important
           instrumental for the development of outcome   to  patients,  health  care  organizations,  and
           research  and  quality  measurement.  These   policy  makers.  Currently,  outcome  data  are
           informational domains are not considered as   compiled from a wide range of sources such
           attributes  of  health  care  quality  but  deliver   as clinical, administrative, and survey data,
           evidence to make inference about the quality   which too often puts redundant, if not con-
           provided.  Here  structures  refer  to  physical   flicting,  data  collection  burdens  on  health
           and organizational properties (e.g., staffing),   care providers. Lack of alignment of measure
           whereas processes describe the treatment of   specifications  makes  it  difficult  to  compare
           and interventions done for patients. Finally,   analytic results from data sets using different
           outcomes describe what is accomplished for   specifications. The development of interoper-
           the patient (Donabedian, 1992). Depending on   able  electronic  medical  records  will  reduce
           the aim of the quality assessment, outcomes   redundant  data  collection  efforts  and  pro-
           can  be  classified  in  seven  different  groups:   mote faster reporting of outcomes to health
           clinical, physiological-biochemical, physical,   care providers.
           psychological  (mental),  social  and  psycho-
           social,  integrative outcomes,  and  evaluative                    Michael Simon
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