Report Appropriately modified de-identified data for the 56431 attendee at the various clinics was used for this analysis. Table 1 presents distribution of the anomalous body composition readings by gender, clinics, and age group. 85% of the overall were female, clinic location 5 has the highest number of overall participants (18%) and highest number of all the anomalous body composition readings (15% - 19%) respectively. 61% of all the participants were within 40 – 60 years age group. BMI has the highest numbers of anomalous readings, followed by TBW, and then free fat mass in that order. Table 2 shows that vast majority of the participants has body type “0” (p<0.0001). Zero-inflated models was performed to rule out overdispersion. The observed …show more content…
Recommendations • Continuous patient education should be incorporated in to clinical activities at all clinic locations. This is to enlighten patients on the activities that can adversely affect the accuracy of body composition estimation, when carried out just before visit to the clinics. This will help in maintaining industrial standard. • Specialists taking the body composition estimation should be trained on the importance of adhering strictly to the acceptable protocols of patients check-in and preparation for body composition estimation. They should be hold accountable for any breach in protocols. • Present format for electronic documentation does not allow for comprehensive clinical documentation during follow-up visit. Efforts should be made to upgrade the electronic medical record system to the standard of that expected for a medical center and research institute. This is to allow for proper documentation according to the industrial standard, and easy retrieval of patient’s information for clinical research. There is a need to employ a clinical documentation improvement specialist (CDIS) in this