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Vol. 25. Núm. S1.
Evaluación en salud pública
Páginas 9-16 (junio 2011)
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Vol. 25. Núm. S1.
Evaluación en salud pública
Páginas 9-16 (junio 2011)
Open Access
Diseños evaluativos en salud pública: Aspectos metodológicos
Evaluative designs in public health: methodological considerations
Visitas
2625
Mª José Lópeza,b,c,
Autor para correspondencia
mjlopez@aspb.cat

Autora para correspondencia.
, Marc Marí-Dell’ Olmoa,b,c, Anna Pérez-Giméneza,b,c, Manel Nebota,b,c,d
a Agencia de Salud Pública de Barcelona, España
b CIBER de Epidemiología y Salud Pública (CIBERESP), España
c Institut d’Investigació Biomèdica (IIB Sant Pau), Barcelona, España
d Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, España
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Resumen

La evaluación de las intervenciones de salud pública, en la cual rara vez es posible la aleatorización de individuos y habitualmente intervienen múltiples factores, implica numerosos retos metodológicos. Para afrontarlos hay que tener en cuenta determinados aspectos, como la elección de un diseño evaluativo apropiado y la realización de un análisis estadístico que considere los posibles confusores. El objetivo de este artículo es describir los diseños más frecuentes en la evaluación de intervenciones (políticas, programas o campañas) de salud pública, enumerando sus características, analizando sus principales ventajas y limitaciones, y haciendo una breve descripción del análisis estadístico más utilizado en cada uno de ellos.

Palabras clave:
Evaluación
Salud pública
Diseños evaluativos
Abstract

Evaluation of public health interventions poses numerous methodological challenges. Randomization of individuals is not always feasible and interventions are usually composed of multiple factors. To face these challenges, certain elements, such as the selection of the most appropriate design and the use of a statistical analysis that includes potential confounders, are essential. The objective of this article was to describe the most frequently used designs in the evaluation of public health interventions (policies, programs or campaigns). The characteristics, strengths and weaknesses of each of these evaluative designs are described. Additionally, a brief explanation of the most commonly used statistical analysis in each of these designs is provided.

Keywords:
Evaluation
Public health
Evaluative designs
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Bibliografía
[1.]
P.H. Rossi, M.W. Lipsey, H.E. Freeman.
Evaluation: a systematic approach.
7th, Sage Publi, (2004),
[2.]
E. Posavac, R. Carey.
Program evaluation: methods and case studies.
7th, Pearson Education, (1992),
[3.]
M. Nebot, M.J. López, C. Ariza, et al.
Impact of the Spanish smoking law on exposure to secondhand smoke in offices and hospitality venues: before-and-after study.
Environ Health Perspect, 117 (2009), pp. 344-347
[4.]
J. Arnau Gras.
Diseños temporales: técnicas de análisis.
Edicions de la Universitat de Barcelona, (2001),
[5.]
L.I. Langbein, C.L. Felbinger.
Public program evaluation: a statisticall guide.
M.E. Sharpe, (2006),
[6.]
A.M. Novoa, K. Pérez, E. Santamarina-Rubio, et al.
Road safety in the political agenda: the impact on road traffic injuries.
J Epidemiol Community Health, (2010),
[7.]
A. Tobías, M. Sáez, I. Galán.
[Graphic tools for the descriptive analysis of temporary series in medical research].
Med Clin (Barc), 122 (2004), pp. 701-706
[8.]
D.K. Simonton.
Cross-sectional time-series experiments: some suggested statistical analyses.
Psychol Bull, 84 (1977), pp. 489-502
[9.]
A.M. Stolwijk, H. Straatman, G.A. Zielhuis.
Studying seasonality by using sine and cosine functions in regression analysis.
J Epidemiol Community Health, 53 (1999), pp. 235-238
[10.]
Y. Robitaille, S. Laforest, M. Fournier, et al.
Moving forward in fall prevention: an intervention to improve balance among older adults in real-world settings.
Am J Public Health, 95 (2005), pp. 2049-2056
[11.]
J.K. Luellen, W.R. Shadish, M.H. Clark.
Propensity scores: an introduction and experimental test.
Eval Rev, 29 (2005), pp. 530-558
[12.]
P.R. Rosenbaum, D.B. Rubin.
The central role of the propensity score in observational studies for causal effects.
Biometrika, 70 (1983), pp. 41-55
[13.]
M. Expósito Ruiz, M. Ruiz Bailén, S. Pérez Vicente, et al.
Uso de la metodología propensity score en la investigación sanitaria.
Rev Clin Esp, 208 (2008), pp. 358-360
[14.]
J.L. Lauby, P.J. Smith, M. Stark, et al.
A community-level HIV prevention intervention for inner-city women: results of the women and infants demonstration projects.
Am J Public Health, 90 (2000), pp. 216-222
[15.]
T.M. Braun.
A mixed model-based variance estimator for marginal model analyses of cluster randomized trials.
Biom J, 49 (2007), pp. 394-405
[16.]
W.R. Shadish, T.D. Cook.
The renaissance of field experimentation in evaluating interventions.
Annu Rev Psychol, 60 (2009), pp. 607-629
[17.]
F. Faggiano, F. Vigna-Taglianti, G. Burkhart, et al.
The effectiveness of a school-based substance abuse prevention program: 18-month follow-up of the EU-Dap cluster randomized controlled trial.
Drug Alcohol Depend, 108 (2010), pp. 56-64
[18.]
B.A. Jacob, L. Lefgren.
Remedial education and student achievement: a regressiondiscontinuity analysis.
Review of Economics and Statistics, 86 (2004), pp. 226-244
[19.]
A. Linden, J.L. Adams, N. Roberts.
Evaluating disease management programme effectiveness: an introduction to the regression discontinuity design.
J Eval Clin Pract, 12 (2006), pp. 124-131
[20.]
W.R. Shadish, T.D. Cook.
Experimental and quasi-experimental designs for generalized causal inference.
Houghton Mifflin Company, (2002),
[21.]
S.R. Khandker, G.B. Koolwal, H. Samad.
Handbook on impact evaluation: quantitative methods and practices.
World Bank Publications, (2009),
[22.]
F.G. Benavides, F. Rodrigo, A.M. García, et al.
Evaluation of the effectiveness of preventive activities (Strategic Action Plans) on the incidence of non-fatal traumatic occupational injuries leading to disabilities in Spain (1994–2004).
Rev Esp Salud Publica, 81 (2007), pp. 615-624
[23.]
R.E. Hilliard.
A post-hoc analysis of music therapy services for residents in nursing homes receiving hospice care.
J Music Ther, 41 (2004), pp. 266-281
[24.]
D.M. Dimitrov, P.D. Rumrill.
Pretest-posttest designs and measurements of change.
Work, 20 (2003), pp. 159-165
[25.]
G.H. Marin, C. Homar, G. Niedfeld, et al.
Evaluation of the state intervention project to improve quality of life and reduce the complications associated with aging: “Add health to your years”.
Gac Sanit, 23 (2009), pp. 272-277
[26.]
K. Pérez, M. Mari-Dell’olmo, A. Tobías, et al.
Reducing road traffic injuries: effectiveness of speed cameras in an urban setting.
Am J Public Health, 97 (2007), pp. 1632-1637
[27.]
H.R. Fletcher, W.S. Fletcher, H.E. Wagner.
Epidemiología clínica: aspectos fundamentales, Masson–Williams & Wilkins, (1989),
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