| Summary: | Background: In District hospital of Tangerang, nurses were major health workers who
serve patients in hospitals and should have a maximum performance so that patients
would get prime services. For this needs to be measured their performance regularly with
a reliable tool, easy and predictive through the development of predictive models and
comes with the preparation of specific policies.
Objectives: Assess and develop predictive models of nurse hospital performance
measurement as well as his policy implications at the hospital of Tangerang.
Methods: Research design was mixed method. Data was processed with Smart-PLS
formed a Structural Equation Model to prove the confirmatory and exploratory
relationships in theorem 8 latent variables that have a 4-6 indicator variables that affect
the nurse performance variable and to find the magnitude relationship among variables
(rho values) so that forming an equation of linear model. The result was to create a
software program to measure the predicted of performance of nurses. Sample 250
nurses and the others 163 nurses acted as raters. The way samples were taken with
multistage random sampling. Then proceed with the policy qualitative research to the
occurrence of it the above. 29 nurses as an informants, comes from within and outside
the Tangerang Hospital. Information collected by the way of document review, a field
observation, focus group discussions and depth interviews. Triangulation of information
carried out to obtain reliable and accurate results. The Approach \"Policy Process
Analysis\" using the Boulton criteria, so that known nursing policy issues concerning
general nursing policy and nurse's performance rules in Hospital of Tangerang
associated with suitability to worked place and protect nurses from risks and dangers of
work of nursing and presented via the format of policy analysis (analysis of Policy).
Furthermore, by combining the two findings from the two research designs produce three
strategies to be chosen one strategy and the choice fell on a strategy of C. This strategy
was translated into a draft of a nursing policy based on a predictive of nurse's
performance at hospital of Tangerang that was poured or written into a format of \"analysis
for policy (analysis for policy). The study was conducted 7 months, from February to
August 2011.
Results: In District hospital of Tangerang, calculations with Smart-PLS obtained at 35
relationships among the variables at the initial structure model, produces 18 relationships
between the variables with a value of goodness of fit was significant and at the model
final modification of structure increased to 19 significant relationships among the
variables. At the final model for the three variables have direct influence with the
\"goodness of fit\" significantly to the predictive performance variable. The variables were
life environment variable, abilities and history of nurse's family health. The influence of all
predictor variables on the performance variables nurse at the final model was 89.24%
with the Q-predictive value relevance was 93.88%. The results were used for the
software development of predictive model of nurses� performance. As a continuation, a
qualitative research about nursing policy generates a strategy C which was a draft of
nursing based on a nurse�s predictive' performance in Tangerang District Hospital.
Conclusion and Suggestions: Variables predictive of performance Tangerang District
Hospital nurses were affected by many variables including the eight predictor of
performance variables as a source for formulating of nursing policy strategy, based on
performance which was prioritize the suitability of work placements and protects nurses
from risk and hazard of work of nursing, so hospital management can take anticipative
action if found to decrease performance of nurses and policies were made to ensure the
nurses work with the maximum.
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