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Executive Summary Report Page 2     01 23 Executive Summary Report Page 2     01 23

Executive Summary Report Page 2 01 23 - PDF document

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Executive Summary Report Page 2 01 23 - PPT Presentation

1 disease condition 2 13 3 155 4 313 5 178 More than 5 340 Mean 47 diseases conditions 234567896267x 1 09669876x 1 0 ID: 960625

base hospitalists x0000 medicine hospitalists base medicine x0000 713 facilities internal conditions adults treat time full month prize total

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................................ Executive Summary Report Page 2 &-"+.%*+&/.,%",%,&0&)'*1.+.'*,& 234567&89&/:996762!&/:;6;6;&=&)82/:!:82;&!76!6/&-67&-!:62!&89':7'%;#&%5#'*,='&#x 6 0;%7.'-2??#I'-2)#%)#)',&'",7-232,7)'-,'.,@'3&#%3'1#&'1%32#73A 1 disease / condition - 2 1.3% 3 15.5% 4 31.3% 5 17.8% More than 5 34.0% Mean: 4.7 diseases / c

onditions 234567&89&-!:62!;&-67&;&#x 1 0;:9!&;66&987&6)&#x 1 0;&;-6):9:)&/:;6;6&=&)82/:!:82&89'0,='&#x -2 ;%7.'1%32#73)'1#&')*2?3'-,'.,@')##'?,&'#%"*',?'3*#)#'-2)#%)#)',&'",7-232,7)A''B27"$@-275'1%32#73)'3*%3'*%;#'&#x -2 ;,&#'3*%7',7#'",7-232,7C' The vast majority of hospitalists encounter every one of the twelve specific diseases or conditions tha

t are listed. Leading ailments encountered in a typical shift are Diabetes, Cardiovascular, Respiratory and Infectious diseases and conditions. Base: Full-time hospitalists who treat adults N=274 None (0 Mean patients/shift ) 1 - 4 5 - 9 10 - 19 20+ (incl. None) Executive Summary Report Page 3 &/?@A&8?1%?,&B?.++%*&&&/73C&87/67;&B7:!!6

2&-67&�;:9!&987&;-6):9:)&!�67-:6;&89':7'%'3.12"%$')*2?3'%11&,D2&#x 6 0;%3#$.'*,='&#x 6 0;%7.'-&@5',&-#&)'-,'.,@'=&23#'?,&'#%"*',?'3*#)#'3*#&%12#)A' Consistent with reports of leading conditions encountered, hospitalists write the most prescriptions for diabetes and cardiac On average hospitalists rewrite scripts for approximately one-t

hird of their patients. Base: Full-time hospitalists who treat adults N=225 5% or less 14.2% 6% to 10% 17.8% 11% to 20% 18.2% & 976J362)K&;66&-�74&76-;&89'0,=',?3#7'-,'.,@')##'%'1*%&&#x -1 ;%'A' Only one in five hospitalists see pharma reps on a regular basis, at least once a month. Base: Full-time hospitalists who treat adults N=

292 Once a day 3.1% 3.4% Once a week 4.1% Twice a month 5.6% Once a month 8 Never 17.8% 14.4% 9.9% & �8;-:!M:;!&;-6):M!K&!7:2:2C&89'J*%3')1#"2%$3.'-2-'.,@'3&%27'27A'' Most hospitalists trained in internal medicine, while one in four trained in areas that address families or children. Base: Total Hospitalists N=713 IN

TERNAL MEDICINE / SPECIALTY (NET)74.8% General internal medicine 72.1% Other internal medicine specialty (please specify) 2.9% Other specialty (please specify) 2.4% Pulmonary/critical care 1.4% FAMILY / PEDIATRICS (NET) 26.6% Family medicine 13.7% General pediatrics 7.3% Med/peds A national hospitalist management compa

ny 12.6% A multispecialty or primary care group 11.5% A university/medical school 8.1% Veterans Administration 2.8% Locums hospital Base: Total Hospitalists N=713 Yes, I work as part of a teaching service 29.8% Yes, but I only care for patients 20.8% No, I don't work at teaching hospital 49.4% 89'0,='�%7.'*,)123%$2)3)'27"$@

-275'3*,)#'27',3*#&'5&,@1)'=,&G'%3'.,@&'27-2;2-@%$'*#%$3*"%&#'?%"2$23.A' On average, hospitalistsÕ facilities hire 21 hospitalists each. Roughly one-third work at facilities with 10 or fewer, another third are at facilities that hire 11 to 20, and the final third are at facilities that hire 21 or more hospitalists. Respondents were invited to ent

er an optional drawing for a grand prize: an iPad valued at approximately $500 or a $500 Visa Gift Card (grand prize) and two second prize $150 Visa Gift Cards provided by TodayÕs Hospitalist Magazine. Response: In total, 734 responses were received. ¥ Response rate was not calculated due to lack of mailout information ¥ Analyses were conducted amon

g 713 hospitalist respondents (after screening out 2.9% of non-hospitalists). The statistical confidence interval for a sample of N=713 at a 95% level of confidence is +/- 3.6% for statistics near the 60%/40% distribution, and +/- 2.2% for statistics at a 90%/10% distribution (where 19 of 20 random samples are likely to show results within this rang