Equity
Shortfalls & Failure of The Welfare State: Community Willingness to Pay for
Health Care at Government Facilities in Jehlum (
Tayyeb Imran Masud, Nasir Farooq*,
Abdul Ghaffar**
Background: The question of willingness to pay is very crucial in
planning for services. In
Key Words: Health Expenditures, Equity, Cost sharing, Health
Services Needs and Demands
INTRODUCTION
A welfare state strives to guarantee to its citizens
health care. The emergence of the New World Order, riding on the crest of the
wave of market economy changed many of the realities that were previously taken
as granted. In a uni-polar world dominated by the
market forces, the real politics has changed and the time has come for the
lesser-developed nations to review the current state of affairs and carefully
plot out the future courses of action available.1 Up to the early
1980’s, in the less developed countries, health care used to be donor driven
with the UN family and International Donors playing a major role. The policies
and interventions in the health care arena were under the control of health
professionals with a view to achieve the ultimate objectives of providing
health care. The “effectiveness of interventions” played a major role in
determining the flow of funds. This scenario changed with the emergence of the Bretton Woods institutions in the late eighties as a major
player in health sector financing. The 1993 World Development report2
is a major policy document, which has decisively transformed the time-honored
traditions and beliefs of health care. Issues of efficiency and performance
were brought to the forefront by the economists at the IMF and World Bank.3
The World Health Organization has followed it up with a Health Systems
Performance report4, and a report by the commission on Macroeconomics
and Health which shifts the focus of
discussion from egalitarian provision of all services to all the population to
a more pragmatic approach of equitable distribution of possible services. The
major shift is from “health professionals” providing “effective” solutions to
health care problems to “economists” planning “efficient” solutions.5
The methodology of Burden of Disease, in priority setting, has revolutionized
the historic traditions of identification of interventions first and then
putting them high on the priority list.
These developments have added
further burden on the already under performing health systems like
The question of resource
distribution, compounded with the desire to provide health care for all, is
challenging in all countries whether they are developed or less developed. In
the National Health Policy, the government of
The paucity of information on
equitable allocation of resources predicts the actual situation of available
literature on the subject. The willingness to pay has not been documented for
the different initiatives of alternative financing strategies and the level of
participation/ability is yet to be addressed in
This study was carried out at
the first level care facility to address the financial sustainability of
government health care interventions at the community level.
This study was undertaken to
explore the question of willingness to pay for health care from the communities’
perspective and their ability to participate in the cost sharing mechanisms.
The objectives of the study were to determine the demand for health care
services in the community; at first level care facilities and community level
and to determine the willingness of the community (Willingness to pay) to
participate in cost sharing mechanisms for provision of primary health care on
the following aspects of alternative financing mechanisms: -
(a) Fee
for Service
(b) Prepayment
MATERIAL AND METHODS
The survey was conducted in November 1998 and the
study population was all the households (approx 155,000 households) in District
Jehlum of Punjab Province in
For the survey, a multi stage
clustering technique was applied in which the Primary Sampling Units were all
households in district Jehlum. Three strata were identified as Urban, Semi
Urban, and Rural. The staging was done at Ward (Urban areas are divided into
municipality wards of 15-20,000 population each) in urban and semi urban areas,
and Union Council (Rural areas are divided into Union Councils administratively
of approx 15,000 populations each ) and Village Level in the rural area. For
sample size calculation, absolute precision (d) was taken as 5 percentage
points and expected prevalence (p) was taken at 50% assuming that 50% will be
willing to pay. The design effect was taken as 1.5 due to the multi stage
sampling methodology. The required sample size came to 577 households; this was
rounded out to 600 households. The questionnaire developed by UNICEF for Health
Care Demand and Health Expenditures Survey in the Bamako Initiative was
modified and adapted for the survey.
In each enumerated household,
the head of the family or in case of non-availability the eldest family member,
mother, father or wife of head of household were interviewed. The minimum
qualification of the survey team was graduate and two medical doctors were
supervising the data collection throughout. The question asked was: Would you
be willing to pay for health care at the government health facility? For what
services and what are your conditions? And what is the maximum amount you would
be willing to pay?
A Socio- Economic Score (SES)
was constructed for the households and groups were made according to quartiles.
The data was analyzed using EPI INFO 6.04 D and MS Excel.
RESULTS
The survey population comprised of 601 households, out
of this 72% was in the rural area, 11% in the semi urban area, and 17% in the
urban area. The average number of persons in a household was 6.9. The per
capita income was Rs 894 (U$18 approx at exchange
rate of 1998 Rs 48=U$1) per month and per capita
expenditures were Rs 901, the expenditure on food on
average comprised of 50% of the total expenditure.
Socio
demographic profile
The proportion of under 15 years of age in the
population was 42.1% while above 60 years was 6%.. The sex distribution was 105
males to 100 females. The overall adult literacy rate (Adult Literacy Rate:
Percentage of persons aged 15 years and over who can read and write (8) ) was
70%, 83% for males and 56% for females.
Willingness to pay
On the question of willingness to pay at a Government
facility to obtain health care 437 (72.7%) of the households indicated their
willingness to pay for health care it was 81% in the urban, in the rural
population 72%, and in the semi urban 60% were willing to pay at a government
facility. Stratification by Income groups and SES revealed that the low Income
and SES group had less willingness to pay for health care compared to the
middle and high groups (Table 1). The willingness to pay was conditional and
availability of medicines was identified as a condition by 89% of the
households. For service provision, 71% were willing to pay for medicines and
38% for curative care episodes (Table 2).
Table-1:Cross tabulation of Willingness to Pay Health Care at First Level Care Facility
|
|
Yes
(%)
|
No (%) |
Total* |
|
|
Cost consideration Prevented From Seeking Care |
No |
118 (76.6) |
36 (23.4) |
154 |
|
In part |
22 (53.7) |
19 (46.3) |
41 |
|
|
Totally |
13 (65.0) |
7 (35.0) |
20 |
|
|
Total |
153 (71.2) |
62 (28.8) |
215 |
|
|
Treatment paid from |
Cash At Hand |
142 (74.3) |
49 (25.7) |
191 |
|
Household Savings |
2(66.7) |
1 (33.3) |
3 |
|
|
Loan |
6 (35.3) |
11 (64.7) |
17 |
|
|
Assistance From Outside |
1(50.0) |
1 (50.0) |
2 |
|
|
Others |
2 |
0 |
2 |
|
|
Total |
153 (71.2) |
62 (28.8) |
215 |
|
|
Delay In Seeking Care |
0-1 days (No delay) |
105 (71.9) |
41(28.1) |
146 |
|
2-3 days |
39 (72.2) |
15 (27.8) |
54 |
|
|
4-7 days |
6 (60.0) |
4 (40.0) |
10 |
|
|
more than 7 days |
2 (50.0) |
2 (50.0) |
4 |
|
|
Total |
152 (71.0) |
62 (29.0) |
214 |
|
|
Stratified by Residence |
Urban |
82 (80.4) |
20 (19.6) |
102 |
|
Semi Urban |
42 (64.6) |
23 (35.4) |
65 |
|
|
Rural |
313 (72.1) |
121 (27.9) |
434 |
|
|
Total |
437 (72.7) |
164 (27.3) |
601 |
|
|
Income Groups by Quartiles |
Low |
121 (63.0) |
71(37.0) |
192 |
|
Middle |
193 (73.7) |
69 (26.3) |
262 |
|
|
High |
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