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Table 5.3 Overall success rates compared with decision<br />

making approach of local authorities<br />

Type of decision making approach Overall success rate Base number of<br />

of applications local<br />

authorities<br />

Comprehensive (ie based on own policy ‘43 31<br />

and DSS guidance)<br />

DSS-based (usrng DSS guidance only) 5 I ‘47<br />

Independent (using own policy only) 50 ‘48<br />

Case-based (no policy D55 guidance not used) 30 2<br />

All authorities 43 247<br />

Although the ii um nsiber of local a tuthoritnes Lmsing the case—based’ ippn om Ii<br />

Is smiiall the table suggests that this mpproa ii ‘svhe re each case is coiindered<br />

on its isierits without reference to any ibm in of guidance may lead to<br />

fesver awards tlimui other appriaclies The table also ramses the qunestiorm of<br />

whether decismomi imiakers ‘si mdi uiioi e tlmaii one source of gummclami e (time<br />

‘commiprehenisis c category) ira pm actice have to consider more factors in<br />

umakimig a decisiorm than those ‘s’s ho rely on emthen the OSS gumidaimce oi the<br />

aLmthoritv’s os’s ii polie y TIme efFect of devisi mug an urn—house policy ma’s<br />

have heeni to decrease the likelihood that a ci mniiiant s’s ill satmsfy the criteria<br />

for exceptiommal h.udshiip’<br />

Analysis of exceptional hardship Omie of the qLiectmoums that thc n esearch set mit to ~xplore s’s as whethiei<br />

payment recmpients pan tic nlar 1}pes of. lamnmi,mmjt tended to be niiore or less sunccesslul iii applyrug<br />

for an exceptional hardship pavnileuit thani others I ni the sun-se’s , them efoie<br />

Hoursi mig Bemiefit usianagers s’s tic asked to break downm u. cc ssfuul arid<br />

unsuccessful applicants into the niiain clamisiamit gi oumps of hone panemits,<br />

pemisnoiier\ and disabled people Althmotugh the adimi m miistrative classiticitmomi<br />

ofclmuuiiimits teumds to tu eat these ~n-OLipSas mnuittmmliy exclumsus’e, ntis possible<br />

for a cLiimimammt to fafl into imbue thami omme Hemice, tile ummalvsms pn eseilte d<br />

here is used omily to imiducate buoad brursh duffc’meiices h~twee ii them m ither<br />

thlami statistically smgmimticaiit fiiidunigs Houisiiig Beiie~it nmamm.mgt-rs ‘s’s crc<br />

also asked Imos’s mnaum’s applucanits is crc siriglc people under 23 pregniaumt<br />

55 Oiiieii, peopi. s’suth mc mital health problems or absent parents (again<br />

net ogiiismnmg that these are os eriippmimg categoric s) Thus sort ofiii formiiatmoni<br />

is miot ollec ted b’s local authorities iii am’s svstemmiatmc sva’s litliourglm the<br />

relevant imifom nlatioii m’s usually coiitaiimed s’s uthims the ase icc ord Sommie<br />

aumthoruties were not able to suippi’s the data requued others supplied<br />

estmnsmates ouil~ The dna are therefore hmnmuted bumt it mc possible to get a<br />

sense of s’s hetlier different clamuisant gn oulpi fire beten than others iii<br />

ipplvmnig (br exceptional hardship psviiients Using data fromim only those<br />

atm thormtm es svh mcii ‘. o Lmld supply hr.- i k doss us of both suit cssfum 1 amid<br />

unnsuccecsfuil applicants s’s e cmi ihcumlate iii aggregmte sumc. ess rat. foi each<br />

ciaiiimauit group sliowmm imu Table 5 4<br />

I

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