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Abstracts 77 Assessment of Intelligent Terminals for Data Entry: Experience in Three Clinical Trials George Bowden, Fran LoPresh, Susan Polhzzi, Maryland Medzcal Research, Baltimore, Maryland (34) The transcnphon of data from data collection forms to computer data files ideally requires a minimum of data entry operator time for deciphering and keying, yields a minimum number ot errors, and provides records necessary for ofhcial planning and management lntelhgent data entry terminals are commonly used for data entry The design and implementation ot a data entry system which uses intelligent data entry terminals will be described and discussed This system includes support programs which (1) display a format similar to the actual form, (2) mteractively edit cruc)al items of form identification through comparison wzth previously entered data from other forms, and (3) check responses against permissible ranges for each ztem Evaluation of this system will consider programmer coding, debugging, and testing time, data entry operator time. assessment of error rates for this system compared to alternative methods of data entry, and the management lntormahon which can be obtained from it The Future of Statistical Computer Packages in Clinical Trial Analysis Bruce A Barton, Maryland Medwal Research lnstttute, Baltzmore, Maryland (35) Wzth the proliferation of statistical computer packages, there seems to be "a package for all seasons " Frequently, however, large chnlcal trial centers resort to wrlt.ng their own routines as the packages are (a) too costly to run, (b) too general to be useful, (c) not as reliable as preferred, and (d) may not have the "favorite" statistic of the center This paper will compare in-house statistical software with centrally developed and distnb- uted statlshcal computer packages The efficiency of both types of software, in terms of computer time as well as staff time. will be addressed with specific examples The future of both types ot software in the analysis of clinical trials will be discussed An Outcomes Monitoring System for Multicenter Cooperative Clinical Studies W K Poole, T D. Hartwell, A V Rao, B.K. Hastings, N.C Fox, and D A Whltehurst, Research Trtangle Institute, Research Trzangle Park, North Carohna (36) The des,gn of several mulhcenter clinical studies specifies collection ot a large number of data items at difterent points in time on a number of principal and secondary study sublects l'radlhonal or the more usual methods of data processing necessarily result in considerable time delay between the receipt of data at the data center and the ava.labflity of that data m a computer readable form Study oversight bodies such as the policy data momtonng panel require statistical reports based on analysis of primary and secondary patient outcome variables for making important decisions concerning the conduct ot the study It is, therefore, essential that these reports be based on the data on all patients in the study at the time of the report The data items used for these purposes are only a small fraction of the patient data collected To meet the reporting requirements of the study oversight committees, the authors have developed a patient outcome monitoring system The paper will describe thzs system and illustrate it with applications to three cooperative clinical studies Clinical Trim Dropouts: Analysis of Demography and Reasons J L Probstfield, M L Russell and W Insull, Jr , Baylor-Methodtst Lzp~d Research Chmc, Houston, Texas (37) A successful program to recover dropouts (DO) from a chmcal trial was reported (CCLTDH 1 168, 1980) Oblectwes of the current study were to examine the nature of the problems which characterize DO and to demonstrate the frequency of differences between the reasons mlhally stated and those uncovered during follow-up Demography of the Baylor-Methodlst (BM) cohort and of the DO shows the following comparisons, respechvely mean age 46 1+6 6, 43 7+4 5, % married 90, 92, % white collar workers 88, 7Z and % with college degree 58, 47 (All NS) The mlhally stated reasons of 36 DO were characterized into three categories, side effects to the study drug (SE) 11%, medical problems (M) 14°o, and behavioral dlfflculhes (B) 75°,o (p<0 01) In 1 l of 36 DO, the reason initially stated evolved dunng two years of follow-up to the currentdlstrlbuhonot SE19%,M 11%, B 69% (p<0 01) The entire cohort demonstrated

An outcomes monitoring system for multicenter cooperative clinical studies

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A b s t r a c t s 77

Assessment of Intelligent Terminals for Data Entry: Experience in Three C l i n i c a l T r i a l s G e o r g e B o w d e n , F r a n L o P r e s h , S u s a n P o l h z z i , Maryland Medzcal Research, Baltimore, Maryland (34) The t r a n s c n p h o n of data from data collection forms to compu te r data files ideally requi res a m i n i m u m of data en t ry operator t ime for dec iphe r ing and keying, yields a m i n i m u m n u m b e r ot errors, and p rov ides records neces sa ry for ofhcial p l ann ing and m a n a g e m e n t ln te lhgent data en t ry te rminals are c o m m o n l y u sed for data en t ry The de s ign and imp lemen ta t i on ot a data en t ry sy s t em which uses intel l igent data en t ry te rminals will be descr ibed and d i s cus sed This sy s t em inc ludes suppor t p rog rams which (1) d isp lay a format s imilar to the actual form, (2) mteract ively edit cruc)al i t ems of form ident if icat ion th rough compar i son wzth prev ious ly en tered data from other forms, and (3) check r e sponses agains t pe rmiss ib le ranges for each ztem Evaluat ion of this sy s t em will cons ider p r o g r a m m e r coding , d e b u g g i n g , and tes t ing t ime, data en t ry operator t ime. a s s e s s m e n t of error rates for this sy s t em compared to a l ternat ive m e t h o d s of data en t ry , and the m a n a g e m e n t l n t o r m a h o n which can be obta ined from it

T h e Future of Statistical Computer Packages in Clinical Trial Analysis Bruce A B a r t o n , Maryland Medwal Research lnstttute, Baltzmore, Maryland (35) Wzth the prol i ferat ion of statistical compu te r packages , there s eems to be "a package for all s e a sons " Frequent ly, however , large chnlcal trial centers resort to wr l t .ng their own rout ines as the packages are (a) too costly to run , (b) too general to be useful , (c) not as reliable as preferred, and (d) m a y not have the "favor i te" stat ist ic of the center

This paper will compare i n - h o u s e statistical sof tware with centrally developed and d i s t n b - u ted s ta t lshcal compu t e r packages The efficiency of both types of sof tware, in te rms of compu te r t ime as well as staff t ime. will be addressed with specific examples The fu ture of both types ot sof tware in the analys is of clinical trials will be d i s cus sed

An Outcomes Monitoring System for Multicenter Cooperative Clinical Studies W K Poo le , T D. H a r t w e l l , A V R ao , B.K. H a s t i n g s , N . C Fox, a n d D A W h l t e h u r s t , Research Trtangle Institute, Research Trzangle Park, North Carohna (36) The d e s , g n of several m u l h c e n t e r clinical s tud ies specifies collection ot a large n u m b e r of data i tems at d i f terent po in t s in t ime on a n u m b e r of principal and seconda ry s t udy sublects l ' radlhonal or the more usua l m e t h o d s of data p rocess ing necessar i ly result in cons iderab le t ime delay be tween the receipt of data at the data center and the ava. labfl i ty of that data m a compu te r readable form S tudy overs igh t bodies such as the policy data m o m t o n n g panel requi re statistical reports based on ana lys i s of p r imary and s econda ry pat ient ou tcome var iables for mak i ng impor tan t dec i s ions conce rn ing the conduct ot the s t udy It is, therefore, essent ia l that these repor ts be based on the data on all pa t ien ts in the s t udy at the t ime of the report The data i t ems used for these pu rpose s are only a small fraction of the pat ient data collected

To meet the repor t ing r e q u i r e m e n t s of the s t udy overs ight commi t tees , the au tho r s have deve loped a pat ient ou t come mon i t o r i ng sy s t em The paper will descr ibe thzs sy s t em and il lustrate it with appl ica t ions to three cooperat ive clinical s tud ies

Clinical Trim Dropouts: Analysis of Demography and Reasons J L P r o b s t f i e l d , M L R u s s e l l a n d W Insu l l , Jr , Baylor-Methodtst Lzp~d Research Chmc, Houston, Texas (37) A successful p rogram to recover d ropou t s (DO) from a chmcal trial was repor ted (CCLTDH 1 168, 1980) Oblec twes of the current s t udy were to examine the na tu re of the p rob lems which characterize DO and to d e m o n s t r a t e the f r equency of di f ferences be tween the reasons mlha l l y stated and those uncovered du r i ng fol low-up D e m o g r a p h y of the Baylor-Methodls t (BM) cohort and of the DO s h o w s the fol lowing compar i sons , respechve ly m e a n age 46 1+6 6, 43 7+4 5, % marr ied 90, 92, % whi te collar workers 88, 7Z and % with college degree 58, 47 (All NS) The mlha l ly s tated reasons of 36 DO were characterized into three categories, s ide effects to the s t udy d rug (SE) 11%, medical p rob lems (M) 14°o, and behavioral dlff lculhes (B) 75°,o (p<0 01) In 1 l of 36 DO, the reason initially s tated evolved d u n n g two years of fol low-up to the c u r r e n t d l s t r l b u h o n o t S E 1 9 % , M 11%, B 69% (p<0 01) The entire cohort d e m o n s t r a t e d