0277-Y536.‘84 $3 00 + 0.W Pergamon Press Ltd
COST AND PERFORMANCE OF MALARIA IN THAILAND SOMKID ‘Facult>
of Economics.
KAEWSONTHI’
Chulalongkorn Bradford,
SURVEILLANCE
and ALAN G. HARDING’
University, Bangkok, Thailand and West Yorkshire BD7 IDP. England
‘University
of Bradford.
AbstractSome results arc presented from a study to determine the costs and performance of the antiparasite elements of the malaria disease control programme in Thailand. Issues examined in the paper are the concept of cost-effectiveness and its relevance in evaluating health care processes. procedures for measuring the performance of malaria surveillance and monitoring processes and procedures for measurrng costs. Some data on the costs and the performance ofoperational services and control activities in two malaria zones are presented and the paper closes by considering how health economics research can be stimulated and supported in developing countries. It is argued that the cost-effectiveness of malaria surveillance and monitoring processes (and probably man!, other health care processes) can not be measured retrospectively. In the case of malaria control the effectiveness ofeach operational services can not be compared because services provided are interactive and complemcntar! rather than alternatives. In addition the targets set and levels of effectiveness achieved may not be the same for these complementary processes. Procedures developed for measuring the performance and costs of malaria operational services and activities are described. Five types of measurement are used to evaluate the performance of the operational services and activities: efiectlveness ( I;,,);time (days); performance ( :,,); and efficiency (cost/unit). Actual expenditure on malaria operational services and activities is not known since all expenditure of government departments in Thailand is recorded under nine budget headings. Budget expenditure at division. region and zone levels must therefore be apportioried to assess the costs of operational services and activities. Since a variety of criteria may legitimately be used to apportion costs at each level, a network technique was developed which allows examination of the effect of all possible combinations of criteria. By this means the maximum, minimum and most appropriate costs are determined. Examples of the costs and performance of surveillance operational services and activities in two zones are presented. Data illustrates the outcomes from the procedures developed and indicates how malaria disease control managers might interpret and use the information obtained. The paper closes with some observations on how health economics research in developing countriescould be better stimulated and supported through staff development programmes and through supervised ‘on the job’ training.
INTRODUCTION
In line with the objectives of the conference the paper presents some of the results of research to determine the costs and performance of the antiparasite elements of the malaria control programme in Thailand. Consideration is also given to how health economics research might be better stimulated and supported. Control of the prevalence of malaria cases in Thailand is achieved through the antiparasite and antivector measures of the malaria surveillance and monitoring programme (Fig. I ). Malaria surveillance embraces a number of activities; the detection of malaria infection in the community by screening all people reporting a fever; parasitological examination of their blood: antimalarial drug treatment; epidemiological investigation and. where appropriate, implementation of remedial and/or preventive measures such as mass dru+ administration and insecticide spraying (Fig. 2). Monitoring is the system developed for recording the outcome from surveillance activities (Fig. 3). The study was only concerned with the antiparasite activities of surveillance and monitoring; collection of blood slides from patients with a recent history of fever: microscopic examination of the blood slide to determine if malaria parasites are present in the blood and to identif) the type of parasite present; presumptive treatment to provide some relief from
symptoms and to render the patient non-infective to anophelines for approx. IO days and/or radical treatment; case investigation to determine where infection occurred and possible transmission; followup (in principle) of positive cases for 1 year to check that patients are clear of infection; and monitoring, recording the results from all stages of surveillance. Collection of blood slides and other antiparasite activities are undertaken by seven types of operational service. Activities undertaken by each operational service are shown in Table 1. Patients may visit centres for investigation; malaria clinics (MC); malaria village volunteers (MVV); village health centres (VHC); hospitals (H); and mobile clinics. This is termed passive case detection (PCD). In some areas PCD may be supplemented by a system of regular domiciliary visits termed active case detection (ACD). In 1980, $17.3 x IO6 was spent on the malaria control programme in Thailand. While malaria disease control managers are conscious of the need to obtain the best return from the money expended there is little guidance available on how they might evaluate and thereby seek to improve their activities. Aims initially set for the research were: (i) to determine HOW the cost-effectiveness of malaria surveillance and monitoring processes could be measured and the results used in decision-making by malaria disease control managers; and 1081
SOMKID KAEWSONTW
1082
--.J
and
ALAN
6.
HARDING
OffIce
of work
office
office
Regional
Division
Zone qffice
Sec1or
Locotton
visitor
report
I
Sector
service
I
(division)
t
cl),
chief
Fig. 2. Flowchart
of
of case detectlqn
Summary report surveillance (l),(2),(3),(4), (5),(6).(7),lEt)
Summery
so CH
7
House
I-Malaria
Case detectlon
(31,
(4),
(51
1
,
c
operation
1
I Anolysed 3 month report from region ond division
Head of EPI section
I
(8)
investigation
Focal
RegIonal director
Report of CI + RT
Report of CI + RT
Case lnvestigatlon and RT by sector chief assistant, sector chief or
(7)
Analysed 3 month report from zone and region
16)
(6)
servtce
: Epidemiologicol study Radical treo?ment. FI
Summary of surveillance. A 3 month report Anolysii of 3 n?or Ilh summary report 1 Report of case in! ‘ected in none spray area
(5),
r Medical
of surveillance
3 month performance
(21,
I
1
Case ,nves,iga+ion
Head
Region
Zone
sector
Field
quarter
monthly
MS10
(3)
II)
on
j
MS3(4)
-Iocotlo” mopping
performance
“i”3”‘MSl~l~~~mo”thy
MS2
hlSlbl4)
work
-LL
1 Reporting
MS1
(I
HQs
EPI
I
MS3
EPI
I
Sector
Reglon
monthly
w!th
section
I MS5
section
(4)
monthly
I
I
Summary Of surveillance
monlly
with
sltde
(I)
MS5
c hlrf
blood
MS4
eY
’
on
HOS
(4)
EPI
EPI
I
Sector
Region
MS6
Actlon
MS?
(II)
MS6o
sectIon
MS6
-l
reglstrotlon
sec11on
I
chief
and
cases
Focus
of
(4)
mvesttgotion
every
MS6o
foct
i”vesUgatlo”
and
(ii) to strengthen the research capability in health economics at Chulalongkorn University. Bangkok, Thailand. Since it was found that the cost-effectiveness of malaria control processes cannot be measured retrospectively the first aim was, of necessity, amended to HOW to determine the COSTS and the PERFORMANCE of surveillance and monitoring processes. Five areas are therefore examined in the paper; the concept of cost-effectiveness and its relevance in the evaluation of health care processes: procedures for measuring the performance of surveillance and monitoring processes; procedures for measuring costs; some data on the costs and performance ofoperational units in two malaria zones; and how health economics research could be better stimulated and supported in developing countries.
These conditions are not met in a retrospective study of surveillance and monitoring processes nor. probably. in the evaluation of many other health care processes. Operational services draw upon the same population and operate in the same area at the same time. The services are complementary and not alternatives. Operational services in different areas will have markedly different conditions, may not have the same target and are unlikely to achieve the same level of effectiveness. Surveillance activities undertaken by operational services such as blood slide collection and examination are not alternatives but essential elements. Cost-effectiveness of operational services could be measured in carefully planned and controlled experimental conditions. But it is doubtful if such costly experiments would yield results of real value in practical situations.
COST-EFFECTIVENESS
MEASUREMENT OF PERFORMANCE
The research was mounted with the intention of comparing the cost-effectiveness of surveillance processes (operational services and activities) within an area and comparing the cost-effectiveness of similar processes in different areas. (A process is defined as a particular combination of inputs or activities and effectiveness defined as the extent to which a target is achieved.) The concept of cost-effectiveness, determining the costs of processes at the same level of effectiveness in order to recommend the best course of action is intellectually attractive and deceptively simple. But the cost-effectiveness of surveillance and monitoring processes cannot be measured retrospectively. To determine which of two or more processes is the more cost effective at least three conditions must be satisfied. (i) Processes must be real alternative and not complementary. (ii) Processes must have the same target and achieve the same level of effectiveness. (iii) Environmental conditions should be similar.
Since cost-effectiveness could not be used to evaluate the performance of surveillance activities and operational services other forms of criteria were used; effectiveness of each process (:,). time (days); performance (7;); relative contribution ( y,); and efficiency expressed as cost/unit. Performance criteria for operational services and activities are shown in Tables 2 and 3 respectively. Eflectiveness
( Oo)
Percentage effectiveness measures the extent to which a target is met, e.g. if a target is to provide treatment within 5 days, 98 % effectiveness would indicate that 2 o,0 of cases took longer than 5 days.
Performance of some activities is best expressed as the time taken to complete the activity. Performance may be expressed as the average time (arithmetic mean and standard deviation) and the cumulative percentage completed within successive days.
SOMKID KAEWSONTHI and ALAN
1086 Performance
(“,)
Percentage performance expresses the degree to which a task is successfully completed, e.g. the percentage of malaria village volunteers who are active. Relatice
contriburion
(3,)
Percent relative contribution expresses the contribution made by each operational service to surveillance within an area. For example, the number of cases examined or positive cases identified by each service in an area. Ejiciency
(‘d)
Efficiency is a measure of the relationship between the outcome from a process and the input. Efficiency may be expressed as percentage efficiency (where inputs and outcomes are in the same units); as cost-benefit (where the benefits or outcomes are expressed in money terms and related to input costs); and as input/output ratios (where units are disporate). Cost/unit is extensively used in the study, e.g. cost/blood slide and cost/positive case. Procedures for determining performance are detailed in Tables 2 and 3. In some cases primary surveys were made of operational services. For other measurements, data was drawn from monitoring forms (records of dates and the outcome from activities).
DETERMINATION
OF COSTS
The goals of costing in the study were to determine the total cost of surveillance undertaken by each operational service and the elements of that cost; total cost to including, if appropriate, internal and external costs. An example is illustrated in Table 4. Expenditure (internal explicit costs) in the malaria service, as in all government organisations in Thailand is itemised under six major budget headings; personnel; remuneration; supplies and materials; public utilities; welfare expenditure; and buildings and fixed assets. The malaria service receives an annual budget with amounts assigned to each heading. The division allocates budgets to the five regions which in turn allocate budgets to zones. Zones provide operational services and occasional activities. The major issue in determining costs is how to apportion expenditure under budget headings to operational units at each level and finally to the operational services in the field. The system used is illustrated in Fig. 4. There are five stages to the system. Stage I:
Stage 2:
Stage 3:
apportionment of divisional, regional and zone budgets to divisional, regional and zone operational units respectively. apportionment of divisional operational units expenditure to cost of regional operational units and zone operational units. apportionment of regtonal operational unit expenditure to cost of zone operational units. assignment of items from operational units at division, region and zone to internal direct costs.
G.
HARDIXG
village
3. Malaria
volunteer
clinic
2. Malaria
Number
of +ve
Number
Number
Total
Number
Number
RT
radical
should treatment
by MVV
by MVV
cases undertaken
investigated
by MVV
by MVV
cases undertaken
in the zone
by MVV
within
diagnosis
as cumulative
time
of time and SD
for diagnosis
target
mean
Expressed
have been presented
for diagnosis -.__
in supplying
receive RP
cases detected
of patients
Total cost of malaria = ___.__
(MVV)
of fve
cost of malaria
3.3 Cost/investigation
=-
Total
ol cases detected
of cases detected
cases (MVV)
number
3.2 Cost/positive
zz
Number
(MVV)
received
should
of cases which
in providing
of cases which
3.1 Case detection
zz
Number
effectiveness
of fever cases which
clinic
number
2.7 Percentage
Total
=__
of malaria
of fever cases presented
effectiveness
clinic.
care. in each successive day, arithmetic
Number
2.6 Percentage
clinics
clinics
RT
PT
care at malaria
in malaria
clinics
by malaria
clinics
fever and seeking
seeking
having
clinics
in the zone
clinics
clinics
served by malaria
cost ol malaria
of fever patients
between
Population
2.5 Time
=-
Total
(MC)
investigated
cost of malaria
of patients
2.4 Cost/population
=
Total
cases-detected
(MC)
RT
have received
by malaria
should
cost of malaria
case (MC)
treatment
have received
PT
treatment
received
who received
radical
should
who
presumptive
of cases detected
Total
2.3 Cost/investigation
=
2.2 Cost/positive
who
cases detected
number
Number
Total
(MC)
ol people
2.1 Case detection
Number
of people
in providing
who
of people
of people
Number
1.7 Efiectiveness
Number
Number
1.6 EtTectiveness in providing
percentage
Cost/unit
Cost/unit
(%)
contribution
Relative
(%)
EtTectiveness
(2)
Effectiveness
Time
Cost/unit
Cost/unit
Cost/unit
(%)
contribution
Relative
(7;)
Electiveness
(2,)
Effectiveness
MS5
of costs from
source
MS5
Tuble
2
contirrued
overleaf
MS5
external
forms
and MS7
budgets,
and MS7
clinics
clinics
forms
costs from
at malaria
forms
and MS7
and MS7
at malaria
statistics
and MS5
and MS7
of 5Gl30 patients
source
survey
surveys and cases from
Analysis
Secondary
survey
and population
primary
forms
and MS5
MS7
survey
and
survey of 5CGl3 patients
budgets
budgets,
MSS
MSI
MSI
primary
source
source
source
budgets,
Secondary
Primary
Primary
From
From
From
Secondary
Secondary
Secondary
primary
forms
forms
1088
Sowm
KAEWSONTHI
and AL.A> G. HARDI%V(;
w .P
5
7
Division
Criteria Kl
*
Divisional operotlonoi units (71
. : * :
.
Regional budget
*2
Criteria
Region
%
Criteria c
*
Fig. 4. Apportion
;
(7)
units
: :
1 :
Regional operotionol
Regional operotionol units (7)
.
of costs.
KZ
Criteria
KZ
Criteria
Zone
e
)
units
16)
Zone operorionol
Zone operotlonal untts (6)
--c
r
Sub
zone
operation
3. Blood shde ehammation
Z Takmg blood >hdes
4ctivity
or wited
of house visitors
of target houses
(residenta at home etc.)
houses
questioned
Number of blood shdes taken
ei%ctiveness of taking blood slides (ACD)
of houses which should be wited
aclivilie,
Number
of caw
Number of blood blide examiniltwn?l
in target
I” a tmle
by muxoscopist
of m~croacoplst
Number of blood alides cxammed
elTxtwnra5
Total shdrh examined
3.6 Percentage
=
Total blrdrs ex,rmined - errors on chechmg
of identdication
whlcb should he reported
3.5 Pcrcentagc efiectnwws
to zone chief
~ourcz
MS8 forms
Secondary
results or blood ahde exammatwn
wtthln target ume
tn reportmg
Number of casx reported
rlfectnencss
3 4 Percentage
m target time
Secondary sourcs~- MS8 forms analysed serwce and occasional activity
blood shde examinatwn
3 3 Tome betwren takmg a blood sample and reporting results to LOW chief Expressed as cumulative percentage posItwe cases reported to LOW chief each successwe day after taking a blood sltde, arithmetic mean of time and SD
target time
target time
blood shdes and completmg
wthin
Number of cases which should be wthm
Number of cases examined
for each operational
for each oprratwnal
of house wsitors
of house visitors
of house visitors
Secondary source MS8 forms analysed serwce and occasional activity
survey-follow-up
survey--- follow-up
survey-hollow-up
source MSI forms
source MSI forms
3 3 Percentage etTectiveneas m collectmg
Primary
Primary
Primary
Secondary
Secondary
source of data
for each operatwnal
(?,I
Effectiveness
Etfectiveness (?“I
(“/,I
Effectiveness
EtTectivmess (%I
ElTectiveness (“,)
Type of criteria
of surveillance
Secondary source MS8 forms analysed service and occasronal actwity
to measure the performance
3 I Tame between taking a blood sample and completmg microscopic examination Expressed as cumulatwe percentage posmvr cases completed m each successive day after taking a blood sltde. arithmetrc mean of time and SD
Number of blood slides which should be taken
2 I Percentage
Number
of questioning
of households
efiectiveness
Number
I 4 Percentage
Number of houses vtsited on schedule ____.____ ~ ~ Number of houses which should be vwted
eflectiveness
Number
Number of houses responding
eKectneness
Number of target houses
1.3 Percentage
crtteria
en’ectneness of visttmg houses
Number of houses usned
Prrcentagr
1.2 Percentage
I.1
Performance
Table 3. Cnrur~a wxi
investigation
Case
7. Monitoring
of cases
6. Follow-up
5.
4. Treatment
blood
z
Number
Number
Number
Total
which
be made
form
form
which
of pages of each MS should
which
time
target -_.
time
be completed
of populot~on
1981
each day after taking
in 198%
treatment
proportions
are completed
in each column
column
to schedule
pages for each form
should
in each major _____-
of pages of each MS
Number
completed
of entries
of fully
number
7.2 Percentage
Number
= --_
up according in each column
of completed entries __-__
of entries
of cases to be followed
within
to schedule
IO schedule
up
up according
in follow-up
of cases
of cases followed
completion
Number
7.1 Percentage
Number
Number
effectiveness
number
time
target time --
cases identified
of follow-up
be treated
treatment
treatment
in target
treatment
treatment
radical radical
in target
of cases being followed ___
Total
Performance
6.2 Percentage
6.1
of positive
required
cases given radical
radical
and division)
of positive
of case investigation
of cases investigated
effectiveness
Number
Number
within
of cases to be cured
of cases cured
of radical
, .
slides from
be examined
and giving
should
with
ol cases which
effectiveness
region
mean of time and SD
of cases provided
Number
Percentage
5.1 Percentage
4.3
Number
sample
percentage
etTectiveness in providing
slides, arithmetic
4.2 Percentage
(zone,
should
of slides examined
a blood
Number
taking
slides which
activities
Hood
m each sector of nooulation
in taking
slide examination
as a cumulative
between
olx~ne
slides examined
of blood
of laboratory
Expressed
4.1 Time
Number
of blood
elfecliveness
per slide on blood
Cost = _-
3.8 Cost
Number
3 7 Percentage
(“a)
Performance
(“/b)
Performance
(:;J
Effectiveness
I%)
Performance
(%)
Ellectiveness
( %)
Effectiveness
( 7) 01
ElTectiveness
Time
Cost,lunit
(““J
Elfectivencss
MS5
All
MS
of villages
source--MS8
source-MS8
source-MS6
survey
source~~ MS8
forms
All MS forms
Secondary
Secondary
Secondary
Primary
Secondary
service and occasional
forms
Corms analysed
forms
and MS7
forms
forms
forms
forms
activity
MS5
source-MSR
and
source
analysts
Secondary
Cost
Secondary
for each opera&al
1092
SOMKID KAEWSONTHI
and ALAN G.HARDII‘;G
Table 4. Cost items of blood slide exammatmn: malaria diwslon Region
ZOIK
Salarles of mlcroscoplsts Laboratory supplies and materials Laboratory remuneration Public utilities for laboratory work
Direct explicit cost at reglonal headquarters
Direct enplut cost + at dwwonal headquarters
Depreciation of microscopes Depreciation of laboratory equipment
Direct Implicit cost at regional headquarters
Direct lmphclt cost + at dwslonal headquarters
Explicit overhead cost: administration cost and mamtammg of fixed assets
Indirect explicit cost at reglonal headquarters
IndIrect explut co,, + at divisIonal headquarters
Indirect implicit
Depreciation of buildmgs and fixed assets
Indirect implicit cost at reglonal headquarters
Indirect nnphclt cost + at dlwslonal headquarters
Direct
Direct supportwe cost: external funds direct to laboratory Travelling cost and other expenditure of patients in recewing blood examination
Direct explicit Direct impliclt Internal cost to division explicit
External cost to diwsion
Stage 5:
i
i
Direct implicit
{
Indirect exphcit
{
Indirect implicit
Stage 4:
Dlwslon
Time cost of patients Indirect supportive cost: external funds Indirect support to laboratory Expenditures of relatives attending patients Time cost of relatives and friends visiting patients
assignment of items from operational units at division, region and zone to internal indirect costs and apportionment of indirect costs to costs of surveillance. apportionment of internal direct costs and internal indirect costs to operational services and occasional activities.
Several criteria could be used for apportionment at each stage. For example, Divisional H.Q. budget is apportioned to seven operational units; administration, health education, applied research, chemical spray, entomology, epidemiology and laboratory. Some budget items such as chemical spray and drugs could be allocated directly to the user units. But expenditure such as salaries and materials has to be apportioned to operational units using suitable criteria. Criteria which, with some justification, could be used are equal distribution, the proportion of all types of staff in each operational unit or the monthly salaries of all types of staff in each operational unit. In the system developed a range of criteria can be applied at each stage of apportionment (Table 5). Since it is difficult to decide which is the most appropriate criteria to use for apportionment at each stage a system has been developed to allow study of the effects on using any combination of criteria in the three sets K,, K2 and K3 (Fig. 4). Using a network system and a computer programme data can be analysed to show the effect of different combinations of criteria on the cost of operational units and operational services. Maximum and minimum costs can be computed and the most reasonable cost determined by selecting a combination of the most suitable criteria. The system provides for direct costs of operational units at division, region and zone levels to be expressed as expenditure under each budget heading. Costs derived from divisional regional and zone budgets are subdivided into direct and indirect costs. Direct costs at this stage are expressed as expenditure under each budget heading but indirect costs appear as a lump
sum. Divisional, regional and zone expenditure is kept separate so that component costs can be identified at each stage (Fig. 4). In looking at the costs of operational services it is appropriate to view the Malaria Division as .the institution’. Budget expenditure on surveillance and monitoring activities at divisional headquarters. regional headquarters and within the zone are therefore internal costs. Costs external to the division are funds from abroad and costs of patients and relatives (Table 4). However it is possible using the system to readily identify direct expenditure on surveillance activities at sub zone level and the ‘overheads’ or external costs at zone, region and divisional levels. The network system allows apportionment of expenditure from budget headings. But one further issue remains, how to gather the data on which apportionment is based. Sources of data for apportioning costs in the malaria service are shown in Table 5.
m ANALYSIS OF SOME COSTS AND PERFORMANCES Although the primary aim of the research was to study how costs and performance of surveillance might be measured, it is also important to examine the data collected. Data was gathered in two zones by the research team and in a third zone by zone staff to field test the procedures. Some of the data gathered from two zones is presented in this section to illustrate some measures of performance, the cost of operational service, based upon vartous sets of criteria, and how data on costs and performance might be used by malaria managers.
The comprehensive monitoring system used by the Malaria Division (Fig. 3) provides. in principle, a valuable source of data on performance. Each case should be fully documented. In practice, an important
Cost and performance Table
5. Malaria
serwccs:
of malaria
types and source
surveillance
in Thailand
of crtter~a
for apport~onmg
Apportmnmg
1093 cost
of
Expenditure al division, region
and
zone to Type
proportion
cntena I. Personnel
based
1.1 Total
based
Units
of
staff
I.2 Civil
2. Salary
operational
Criteria:
of
servant
to zone and region to zone
Expenditure at zone to OperatIonal
Source
Records
on personnel. Division Dwision
Malaria
List of personnel
total
2.2 Monthly
cwil
salaries servant
at Zones Zones
interwews determme
wages
Report descriptmn
of&me
Chiefs
at Zones
under
survey and assistant
3. 6 and 7 to
the allocation
of personnel
to tasks.
2.4 Monthly temporary
Annual
3. 6 and 7 and Sectors
Chiefs
at
I
and job
3, 6 and 7. Primary
Zone
permanent
and salaries
and Region
employee
2.1 Monthly
for
criteria
Malaria employee
Temporary
of data
determining
services
I .4
salaries
based
at dwision
I.3 Permanent
2.3 Monthly
3. Responsibihry
Expenditure
wages Records
of Epidemiology
Section
3.2 Area
covered
Malaria
Division
I and
3.3 Real
expenditure
3. 6 and
7 Malaria
3. I Population
covered
Region
Division
at
Zones
Annual
Report
4. Functmnal
4. I Office 4.2 Field
based
personnel
4.4 Field
personnel personnel
of Interior survey
Zone
personnel
4.3 Office
Ministry Primary salaries salaries
by interview
chiefs and assistant
Zones
3, 6 and
determine
the allocation
to operational
Zone
chiefs of
7 are undertaken
to
of personnel
services at sub zone
level 4.5 Blood
slides examine
4.6 Positive 5. Time
based
5.1 Time
cases
allocated
to each task
and operational
services
Summary
Division
Primary
survey;
based
6. I Populatmn 6.2 Area 6.4 Time
at zone
their
daily
spent on each activity
index based index
based index
6.5 Equally 7.1 Direct amount
distributed allocation
of
to
specific/section/tasks 7.2
Report
index
6.3 Functional
7. Direct
Annual
all personnel
and sub zone levels record time
6 Index
of surveillance
Malaria
Direct
collection
Various
designs
of direct
cost data
proposed
collection
was undertaken
collection
but no direct
on
-
of cost for
each task operational SCIVCC
finding of the research was the low effectiveness of many monitoring procedures, Questions must therefore be raised about current monitoring practices. Measures of performance based on data drawn from monitoring forms must also be analysed with due consideration of the level of reliability and validity. Two examples of the performance of surveillance activities described in Tables 2 and 3 serve to illustrate how performance may be measured and expressed, conclusions drawn and issues raised. To reduce the probability of transmission the time between evidence of infection with malaria parasite and radical treatment should be as short as possible. The average time (days) between taking a blood slide and providing radical treatment, in 1980, for each operational service and occasional activity in two zones is shown in Table 6. The relative contribution ( “,) made by each service and occasional activity in the detection ofpositive malaria cases is also included. The effectiveness of operational services in providing radical treatment is presented in Table 7.
The average time for providing radical treatment, time between taking a blood slide and providing radical treatment to positive cases (Table 6) shows a similar trend in the two zones studied; malaria clinic, hospital, malaria village volunteer, village health centre, active case detection. While the mean time for providing treatment is marginally shorter in Zone A (4.0 days) than in Zone B (4.2 days) most of the operational services in Zone A take a statistically significant longer time than Zone B. This apparent contradiction occurs because a larger proportion of the cases in Zone A are detected at malaria clinics where the average time is short at only 1.3 days. But conclusions drawn from the data must be treated with caution. In both zones monitoring records (MS8 forms) are incomplete. There is no recorded date of treatment for 11.2‘A of cases providing blood slides in Zone A and 3.9% in Zone B. Study of hospital records also shows that a large number of malaria cases which are identified in hospitals are not recorded with the malaria service.
1094
KAEWSONTHI and ALANG. HARDING
SOMKID Table 6. Average
time between taking a blood sample
and providing
radical treatment Zone B
Zone A
Operational occasional
Relative contribution (%I
service and activities
1. Malaria clinic 2. Malaria village volunteer 3. Active case detection 4. Village health centre 5. Hospital 6. 7. 8. 9.
Case investigation Mass blood survey Follow up Special survey
Average time (Days)
Average time (Days)
1.3 11.1 15.9 13.8 8.8
51.7 17.4 16.6 4.2 3.4
1.2 7.8 8.1 8.4 5.9
s NS
0.5 0.1 0.1 1.4
6.9 7.1 23.8 2.4
0.1 2.0 0.0 4.6
10.0 6.1 0.0 6.0
NS NS s s
s
4.2 4.6
4.0 6.6 12,029
4387 cases
s s
71.6 14.1 4.7 4.9 2.1
Mean SD N Missing
Relative contribution (%)
t-test of slgmficant difference between means < 0.01
( %)
3.9
11.2
But even acknowledging doubts about the reliability providing immediate testing and treatment compared of data the longer average time taken to provide with the slow turn round time of active case detection is treatment by operational services in Zone A coupled also clearly illustrated. with the high percentage of incomplete records in the Any relationship between the number of active same zone suggests that Zone A has less stringent carriers in a zone and the effectiveness in providing control of surveillance and monitoring operations diagnosis and radical treatment is subject to three than Zone B. factors in addition to the reliability of data. The average time for radical treatment by each (i) many cases could and will be active carriers operational service (Table 6) provides a useful target to before they present themselves for a blood test. In a be improved by each zone and a comparative study of malaria clinics 20 “/‘,of patients took 10 days measurement among zones. But average time cannot before seeking treatment after the onset of symptoms. show the proportion or number of patients treated by (ii) there is some doubt about the time period during each operational service who may become active presumptive will prevent which treatment carriers as the temporary curative effect of presumptive transmission. treatment decreases. The latter can be more clearly (iii) radical treatment may not effect a cure and considered when performance in providing radical prevent transmission. Systematic follow up of a small treatment is expressed as percentage effectiveness number of cases in the two zones shows that 20 p, were (Table 7). Percentage effectiveness in providing radical still positive after 4 months. These cases may be viewed treatment I . n number of cases treated withm a target ttme = number of cases which should be treated within the target time’ I If it is assumed that patients become active carriers IO days after receiving presumptive treatment, 10 “/: of all patients will become active carriers for some days. With IO days as the target time Zone A shows a consistently poorer performance than Zone B for all operational services. The value of malaria clinics in
Table
Effectiveness
7.
Effectweness
of operatlonal
( ;;,I
I 5 I0 15 20 Number Percentage
etrectlveneas
services in providing Malaria village volunteer zone
MalaW clinic Zone
All srrvices itobnDksh
as reinfected but could equally well be non-responsive to drug therapy or could have failed to take the drugs prescribed. The simple measure of effectiveness in providing radical treatment is a useful tool for evaluating the performance of operational services. But it also raises
FlA
60.6
96.9
97.I
70.5 89.2 96.2 98.4
98.0 98.7 99.4 99.7
9X.6 99.4 99.9 100
of cases treated wthin
of cases which should be treated
Actwe cilse detectlon Zone 014
10.4 26.4 54.3 74.7 90.6
IO.2 29.8 7X.2 95.0 98.6
target time
= Number
radical treatment
wthm
target time
Village health centre
B/A 2.4 7.x 27.5 60.5 75.4
Hospital Zone
20X
1.X 26.9 79.9 95 3 98. I
BlA 137 21.4 37.9 61.0 7x.0
71 30.6 76.0 91.6 97.0
B 41.0 53.x 69.2 74.4 x7.2
21.1 46.7 xx.4 97.3 99 7
Cost and performance
of malaria
Costs Analysis of data on the costs of surveillance in two zones is not completed. But at this stage preliminary analysis can be made of the costs of operational units at division, region and zone levels following apportionment of expenditure under the standard budget headings. Percentage costs of operational units at division, Region X and Zones A and B using one set of criteria for apportionment are shown in Table 8. Criteria used in apportionment (alternative 6) are shown in Table 9. If the criteria used are accepted as a reasonable basis for apportionment three conclusions may be drawn. (i) Division L’Sregion. The division and Region X show a similar pattern of costs; approx. 40 “/I of total expenditure on administration, approx. 3 y0 for research and approx. IO:/, for each of the other operational units. It is perhaps surprising that the Division and region should show a similar pattern of expenditure given their different functions.
region and zone expenditure
apportioned
to operational Operational
1 xt
(
1 Diwsion Reglon X Zone A
1ZoneB
H.Ed
1
Insect.
1
Lab.
1
Epid.
1
42.9
(
12.0
1
11.4
(
12.8
1
9.0
(
II.4
8.5
1
18.5
1
2.8
[
25.9
I
9.6
1
2.4
1
42.1
for apportionment
Budget item
1095
Criteria
14.5
6.1
for apportionment
2. 2.1 2.2 2.3 2.4 3.5 3.6
Remuneranon Fees Freight Travelling allowance Transportatron Mamtenance of fixed assets Others
i ;:I 3.2 3.3 3.4 3.5 3.6 -3.7 3.8
Supplies and materials Office supplies Drugs lnsecticldes Vehicle supplies and fuel Maintenance of assets Laboratory supplies Health Education supphes Others
Direct to laboratory Direct to health education Total number of personnel
4.
Public utihties
Total number
8.5
1 (
II.6
6
3.1
1 Treat. I
-
-
in each operational
umt)
I
alternative
-
19.1
6
wage of staff in each “nit wage I
Total number of personnel Direct to chemical spray Total monthly Total number Total staff
salaries of staff of personnel
Equally distributed Excluded at Division allocated to treatment Equally
and Region since bulk purchased and insecticides.
distributed
of personnel
Equally distributed Proportion of low income staff in each umt
I
23.3
I
20.6
(proportion
Res.
2.2
27.3
1
of budget expenditure:
Proprtlon of salaries Proportion of permanent Proportion of temporary ProportIon of salaries
Ent.
7.3
2.2
1
region and zone: alternative
umts at each level
1
Table 9. Criteria
i Welfare expenditure ;:I Social welfare 5.’ Low mcome support
units at division,
Admm.
444
Salaries and subsistence Permanent wage Temporary employees Allowances
in Thailand
(ii) Diuision/Region X us zones. The distribution of costs to operational units at zone level is significantly different to that at division and Region X. The proportion spent on administration, health education and laboratory is lower, while epidemiology and entomology are similar. A higher proportion of costs at the zone level are spent on insecticides and spraying with approx. 20 7: of zone budgets spent on treatment. Lower administrative costs at zone level, expenditure on treatment and a large proportion of budget to spraying and insecticides is to be expected in view of zone operations. The high cost of laboratory activities at Region X and division, presumably due to training of personnel and re-checking of slides, warrants more detailed study. (iii) Zone us zone. Zones A and B cover roughly the same area. Zone B is mountainous with a sparce population and a high incidence of malaria. A larger proportion of Zone B’s budget is therefore spent on insecticides and spraying. The significant difference in the proportion of budget spent on administration in the two zones is surprising. But judgement can only be made in relation to the budgets, work load and effectiveness of operational services in the two zones.
about monitoring procedures, transmission and treatment which are addressed in the section ‘Use of data by malaria managers’. questions
Table 8. Divwon.
surveillance
for zones. At zone level dxectly
1
1096
SOMKID KAEWSONTHI and ALAN G. HARDING
Table 10 shows a more detailed breakdown of antivector and antiparasite costs for the two zones. (Costs are internal costs to the zone without, at this stage. consideration of the’overheads’ or external costs from division and Region X.) Higher expenditure on insecticides and spraying in Zone B accounts for most of the difference in the budgets of the two zones. Zone A would therefore appear to be less efficient in its administration, spending 0.8 x IO6 Baht on administering a budget of 4.5 x IO6 Baht while performing less spraying, taking a smaller number of blood slides than Zone B and having a poorer performance in terms of the time between taking a blood slide and providing radical treatment. Comparison of the cost of antiparasite measures in the two zones reveals some effects which may not be fully explained by differences in terrain, population. incidence of malaria and relative contribution of operational services (Table 6). Is the higher laboratory costs in Zone B due to less use of malaria clinics, to the existence of more units or other causes’? Is the cost of epidemiology independent of the number of blood slides taken and number of positive cases‘? Both zones spent the same amount on epidemiology. Is the lower cost per case in Zone B solely due to the higher incidence of cases. If this is so, it might be more informative to express performance as the cost/case prevented rather than the cost/case.
C’se of data hy malaria managers How could or will malaria managers make use of the procedures developed and information on performance and costs’? The simple answer to the question is that we do not know. Although there has been very strong support for the research from the Director and other staff within the region and zones examined, it has to be acknowledged that other staff within the malaria service may be sensitive to attempts to evaluate performance and to compare costs of operations. The extent to which the procedure and data are used will therefore probably depend on four factors: (i) the skill and political sensitivity with which the procedures are introduced and the results of this particular study communicated to staff within the Malaria Division: (ii) the relevance of costs and performance measurements to the control and improvement of services. (The measurements must have meaning to personnel and relate to day to day operations at each level of the malaria service); (iii) feasibtlity of gathering data by zone and regional personnel (after training) with the resources available: (iv) reliability of data (low reliability will invalidate conclusions and disillusion those who give their time to the collection and analysis of data).
Assuming statf in the Malaria positive attitude. we see five major
Division
take
a
uses for data on
costs and performance.
(i) Analysis of how money is spent at each level in the Malaria Division; cxpcnditure on operational units and services in relation to the goals of the malaria xrvicc.
(ii) Establishment of performance and cost targets to be met and improved. (iii) Evaluation of the relative contribution and cost/unit of various types of service, and the economic merit in encouraging particular types of operational services. (iv) Determination of the best combination and distribution of operational services for maximum effectiveness and minimum cost. (v) Comparison of the costs and performance of different zones with due recognition to geographical conditions and population distribution. Uncertainties will remain about application of the procedures developed. But the research has highlighted several issues of importance in efforts to improve the malaria control programme. Many of the issues relate to the effectiveness of surveillance and monitoring procedures, developed long ago for an eradication programme, which are now used in a control strategy. For example: (i) Analysis of monitoring in two zones in 1980-198 I disclosed a very low effectiveness to many monitoring procedures. Unless the effectiveness of monitoring is improved and/or the approach to monitoring modified, malaria control will be less effective and doubts will exist when measurements are made of the performance of surveillance activities. (ii) Follow up of positive cases is required at I, 23.6. 9 and 12 monthly intervals. The effectiveness of this procedure was found to be about 4”;. Since the number of patients cleared of infection is not known there could be an increase in the number of carriers and a distortion of statistics as patients not cleared of infection are registered as new cases. (iii) Blood samples are only taken from persons reporting a fever. In a study of 4659 persons in three villages, 1.02 “/‘,of the population was found, on blood slide examination. to be positive. Only 209; of these cases reported having a fever. The high proportion of symptomatic cases raises questions about the relevance of established procedures.
HEALTH
ECONOMICS RESEARCH COUNTRIES
IN DEVELOPING
The second aim of the research was to strengthen the research capability in health economics at Chulalongkorn University, Bangkok, Thailand. The educational outcome is, in many respects as important as the procedures developed and data collected. The UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases which funded the projects seeks to strengthen selected centres in developing countries so that staff within the centres may carry out both research and training. TDR argue that such activities “will help to provide the manpower needed to enable the tropical countries to implement their own policies and programmes for research on disease control” (WHO undated). The effects of this project on the competence and confidence of the research team are fully reviewed elsewhere (final report). What is more pertinent at this point in time is to review the lessons learned and consider how health economics research on disease
Cost
and performance
of malaria
surveillance
in Thailand
1097
Table IO. Costs of antivector and antiparasite measures
Note: Zone A
Population X IOh Blood slides x IO4 Posmve slides x IO”
control programmes
1.3 107 0.7
Zone B 0.5 132 1.2
could be better stimulated and supported in developing countries. The TDR philosophy of supporting the development of research teams in countries where the six major tropical diseases are endemic is to be applauded. But some improvement in the response to WHO initiatives and in the quality of research completed might be expected if training and professional support was given to potential and practising-researchers. (i) Training programmes should be provided at universities in developing countries for potential and practising researchers. The short training programmes should provide experience in the submission of research proposals and the management of research projects through the use of simulations and case studies. (ii) A system of advisors should be established to assist new principal investigators in the planning and management of research. Advisors should have extensive experience in research but not in the actual topic of the research study. Through such a system the principal investigator would retain responsibility for the direction and progress of the project while drawing
on the experience
of the advisor. Both advisor and the principal investigator would probably benefit from the cross disciplinary interaction. The reason for these proposals is the lack of experience of research in many developing countries. Although a number of academic staff in universities in a country such as Thailand may have higher degrees,
there are seldom any established schools of research (particularly in health economics). Since those with higher degrees have frequently responded to initiatives rather than managed their own research programmes there is no pool of staff experienced in research management and few, given cultural conditions, with the competence or confidence to initiate research proposals. The result is a chicken and egg situation in which lack ofexperience makes it difficult for potential researchers to initiate and successfully complete research in health economics.
Acknowledgement-The investigation received support from the UNDP/World Bank( WHO Special Programme for Research and Training in Tropical Diseases.