Related Experiment Video
Updated: Jul 10, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
Guideline development from an observational study
1Unite d'Evaluation Médicale, Grenoble, France. jlabarere@chu-grenoble.fr
Purpose:
It is unknown whether data from observational studies can assist guideline developers in areas where scientific evidence is lacking. The purpose of this study is to develop a local clinical guideline for prophylaxis against venous thromboembolism based on observational study results.
Design/Methodology/Approach:
The authors performed a classification tree analysis on original data from a cross-sectional study of risk factors, prophylaxis, and prevalence of deep vein thrombosis in 818 medical in-patients hospitalised in French teaching and community hospitals. The dependent variable was the use of pharmacological prophylaxis. The rate of any deep vein thrombosis detected by routine compression ultrasonography was used as an illustrative variable. Using group consensus of expert panelists, a practice guideline was developed based on the results of this study and a systematic review of the literature.
Findings:
The resulting classification tree involved eight terminal subsets. The mean misclassification rate was 31 per cent in tenfold cross-validation and the area under the ROC curve was 0.75. The classification tree was converted into graded recommendations. According to these recommendations, 455 patients (56 per cent) required prophylaxis. The corresponding rate of deep vein thrombosis was 11 per cent (28/245, [CI = 8-16]) in 245 prophylaxis users and 11 per cent (23/210, [7-16]) in 210 prophylaxis non-users. Conversely, 363 patients (44 per cent) did not require prophylaxis: 63 actually received prophylaxis and six had deep vein thrombosis (2 per cent, [0.6-4]).
Research Limitations/Implications:
Further prospective validation of the guideline is important prior to its implementation.
Originality/Value:
Integrating data from observational studies may be an effective way to develop guidelines when robust scientific evidence is lacking.
Related Concept Videos
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Naturalistic Observations
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Bias in Epidemiological Studies
Study Design in Statistics
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
