buisness and finance
232 Quantitative Methods in Health Care Management: Techniques and Applications
rx x${dr$r5 9.'l The chief at the ultrasound division of the radiology department in a community hospital
would like to measure the multi-factor productivity for a "complete abdomen,, procedure. The last three years of data were accumulated, as shown in Table EX 9.1.
TA*L* TX 9,7 Measurement Year I Year 2 Year 3 Price (g)
Volume
Labor ($)
Materials ($)
Overhead (g)
880 883 886 5,583 6,312 6,129
75,000 77,000 80,000 2,750 2,900 3,100 6, 500 6 ,7 00 7 ,000
a. What are the multi-factor productivity ratios for these years? b. What can you conclude about the productivity trend for this procedure?
9.2 Data from the outpatient mammography operations in a health care facility accumulated in Table EX 9.2.
TABLE TX 9.? Measurement Year I Year 2 Year 3 Year 4 Price ($)
Volume
Labor ($)
Materials ($)
Overhead ($)
140 145
275,000 307,000 6,750 7,250
24,500 26,700
147 150 1R qqq 17 qq7
318,000 325,000 7,100 7,000
28,600 28,000
t,5
c, What are the multi-{actor productivity ratios Jor these years? d. What can you conclude about the productivity trend for mammography operations?
The weekly output of a radiology process is shown in Table EX 9.3, together with data for labor and material (X-ray film) inputs. The standard charge value of the output is $125 per
rroductivity 233
unrt. Overhead is charged weeklv alaforty-hour*""k#;;';;;il"tarateof $1'500plus 5timesdirectlaborcost.Assume the averaee
'rrri-r..ro, p.Jr".'r'iuil,"il1,?l,li?;f;;']"'''l cost is g1o per imase. co'pri;
TABtg rX 9"3 # of X_ravg""k Output Technicians
# of X-ray Films
1
1
J
412 6 364 5 392 5 408 6
2,840 2,550 2,720 2,790
9.4 Calculate the case mix index f( siiicatron sysiem, u;;;;ffi:jlFfi!"yXo;"'nit't'' which use the same patient cras-
TAELr rX 9.4 Direct Carc
Patient Classification Hours Hospital ,| Hospital 2 Hospitat 3 Hospital 4 Lowievel care Medium{evel care High-level care Extreme care
3.0
6.0
9_0
12.0
0.50 0.35
0.r0 0.05
0.40
0.15
0.10
0.30 0.30
0.18
0.20
v.t) 0.30
9.5 Statistjcal Data for Nursing Unit A in HADM Memorial Hospital Using the data provtded'" t O," ,l,l..?^::.,-.ulate rhe foflowing-,",io,
"nO compare them toIne benchmark values of a peer group snown rn brackets ,, ,,:
a, Case-mix 'ndex
[l.2OI. Does Unit A serve more severe patients?
" A?ff:'j|#J,'"il: ffig."|:91,:* Discharse r32.81t what wourd be the reasons " Il:i:,:i':f ,iti:::: r il;::iil:H"l 1 i:::";ilHH -J;; d. Percentage of Ad,usted Nursrng Hours in Direct patient Care [.64J.
ProductivitY 235
3.'1",ff :x1;I#:j. :H:#'#i{:!'":{{;": il:::l#il',$::Y:
nurs ne un'is
".
't^rt"* Nursing Hours per
Adiusted Discharqe
o. *"",* Sarary Expense per:ilil:ffi:::::
patientcare
c. Percentage o{ Adjusted Nurstn
c' rs'!!r''-J " thrpe-site urology
group practice',
'lj"ft ;:[;#jx:x.T?r'nniitri::Jali**ll*ll"'l;nru.rx;:
l-acn o{ the three tocations'
TASLI TK *.? ;;.-i Location@ Measurements/Sites
AnnualVisits 1 35,000
1 15,000
94,000 1 12,000
.10
.20
.40
.30
.30
_)u
.20
101 ,000
125,000
.15
.15
.35
.70
'30 .00
ilili.?llxii::-on (Based on cPr codine)
,n11i.1yisir (.55)-
Low-Level Decision Makin9.(-5u), -
".0i.-t*" Decision Making1
75)
Hioh-Level Decision Makrng ( r '.+"/
Stitl'lvtix Oistribution
Tfl?:fi::l'ffili,,o*,
.30
.40
.20
.10
.50
.30
.20
iurse Practitloners ($45/hr)
' Replesents totar hou" t t"":-t:::;T;
,u,in" [""'-' ", "e
skill level'
t Represents hourly comp€ngton Incll
t Represems rrou.r '-" '- ,! -, '<o
nractitioner = .35 Specialists
Assume that 1 general practitioner:J5 specialists'
and 1 nurse prac'
{or economic measure ot sKlll suu)r
Calculate:
a. Work hourtvislts b. Adiusted work hour{visits c. Work hourJadjusted visits
i. ea1"t"o *o'r hourtadjusted visits+
e. Total salary expense/visits Total salary expense/adiusted
visits+
236 Quantitative Methods in Health Care Management: Techniques and Applications
g. Percent of work hours in direct patient care h. Percent of adjusted work hours in direct patient carel i. Total salary expense/hours of direct patient carer
tuse these measures {or the final comparison among the three sites, and discuss potential problems at each site or overall for the company. What are your recommendations to correct them?