Accession Number : ADA476406


Title :   Mass Medication Clinic (MMC) Patient Medical Assistant (PMA) System Training Initiative


Descriptive Note : Final rept. 22 May 2006-22 May 2007


Corporate Author : CTA SOLUTIONS HONOLULU HI


Personal Author(s) : Clyde, R D ; Garshnek, Victoria ; Burgess, Lawrence


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a476406.pdf


Report Date : Jun 2007


Pagination or Media Count : 151


Abstract : In a disease outbreak medication needs to be rapidly yet safely distributed to a population to minimize infection outbreak. We investigated if there are significant differences in efficiency (time) and error rates in drug dissemination to large groups of people using algorithm driven paper vs. PDA methodology. Subjects were sent through points of dispensing with volunteer clerks processing them during two sessions (alternating modes for session two). Time to process subjects through each arm was recorded, along with the errors in medication prescription. Data analysis indicated no significant difference in time or number of errors made with PDA vs. paper methods. However, the mode and order of testing affected time. Clerks doing the paper method second were slower than those who did paper first (P = 0.001). The PDA method was consistent in time whether clerks used it first or second. This may indicate the presence of a fatigue factor from using the paper method. Both methods require questions to be asked, but the PDA requires less thinking as one only plugs in answers to questions, whereas the clerks using paper must also interpret the answer and follow the paper-based algorithm. This may have resulted in slower times as fatigue played a role in the second session. The findings may indicate that during a disease outbreak, when clerks are tired yet still must continue processing citizens, an algorithm-driven PDA may be beneficial to improve efficiency.


Descriptors :   *MEDICINE , *OUTPATIENT CLINICS , TEST AND EVALUATION , ALGORITHMS , DATA PROCESSING , DISTRIBUTION , ERRORS , INFECTIOUS DISEASES , PAPER , PLUGS , DRUGS , FATIGUE , PROCESSING , MASS , RATES , POPULATION


Subject Categories : Personnel Management and Labor Relations
      Medicine and Medical Research
      Medical Facilities, Equipment and Supplies


Distribution Statement : APPROVED FOR PUBLIC RELEASE