Health
Facilities Differential in the World with Special
Reference to Bangladesh
.........................................................................................................................
Md. Ismail Tareque
Lecturer, Dept. of Population Science and Human
Resource Development
University of Rajshahi, Rajshahi-6205, Bangladesh
E-mail:
tareque_pshd@yahoo.com
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ABSTRACT
Attempts
have been made in this study to rank almost
all countries of the world according to
constructed index of health facilities.
USA was at the top ranking position in
1990 but in 2000 it came down to 2nd position.
The study reveals that Bangladesh was
at 36th position in 1990 and increased
their facilities for health during 1990
to 2000 but it did not come out from the
low ranking group. Bangladesh should follow
the top ranking country's policies regarding
the health sector.
Keywords:
Index of health facilities, country's
rank and Bangladesh.
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Born in 1971 after a devastating
war, Bangladesh is a land of immense beauty
and potential. In its short history, Bangladesh
has faced a daunting challenge of improving
the health of its people and has made remarkable
progress. Over the last two decades, Bangladesh
has witnessed a large decline in mortality despite
economic backwardness and inadequate health
services. During the period 1990 - 2000, the
crude death rate dropped from approximately
11.1 to 9.2 per 1,000 population. In the same
period the infant mortality rate also dropped
from approximately 89 to 73 per 1,000 population
(World Population Prospectus, 2006). Bangladesh
ranks among the extreme poor and most densely
populated countries in the developing world,
with less than 45 percent of its population
having access to primary health care services
beyond childhood immunization and family planning
(UNDP 1997).
Equity in health is defined as "the absence
of systematic and potentially remediable differences
in one or more aspect of health across populations
or population subgroups defined socially, economically,
demographically, or geographically" (ISEqH
2001). More simply, these are health inequalities
which are deemed unfair or unjust. Its principles
are derived from the fields of philosophy, ethics,
economics, medicine, public health, and others.
The subsets of health inequalities that are
judged unjust or unfair constitute health inequities.
A recent examination of data from Matlab indicated
that the gain in mortality reduction for children
during the last twenty years was much greater
for females and in children from the extreme
poor households (Bhuiya et al., 2001).
While the decline in mortality is impressive,
it is not known whether the decline is due yoincreased
health facilities. Especially, were health facilities
improved in all countries of the world as well
as in Bangladesh during the period 1990 - 2000?
The study attempts to address the above question
along with the determination of the index of
health facilities (IHF) for different countries
of the world and their corresponding ranking
position.
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DATA SOURCE AND CONSTRUCTION OF INDEX |
The study is based on the data of WHO. We have mainly used World Health
Statistics 2006 (WHO, 2006) data prepared by
WHO.
The present study considers only a few sets of variables related to
health facilities. Many are left partly owing
to unavailability of data at the country levels.
The index of health facilities (IHF) has been
constructed using the variables such as number
of physicians, number of nurses, number of midwives,
number of dentists, number of pharmacists, number
of public and environmental health workers,
number of community health workers, number of
other health workers, number of lab technicians,
number of health management and support workers
and number of hospital beds. Calculation of
single variable index is made as follows:
Let Xij denotes value of ith variable for jth
country. We may get an index called the single
variable index at the country level by using
the following formula:
IVij =
Where, (Xij), Min (Xij), Max (Xij) and IVij are, respectively, the
actual, minimum, maximum and index value of
X over the countries.
Based on each indicator, which include more than
one variable, weight for each variable has been
measured as
Wij =
Where, Var.(IVij) denotes the variance of index
value of ith variable for jth
country and k is the number of variables. The
choice of weights in this manner ensures that
large variations in any one of the indicators
will not unduly dominate over the contribution
of the indicators and distort inter country
comparisons.
Thus using the weight and index value, a weighted
combined index is obtained using the following
formula:
Cij =
Where, Wij and IVij denote, respectively, the
weight value & the index value of ith
variable for jth country and k is the
number of variables.
The above index is computed in the same fashion as Gupta (1989) and
Rahman (1999).
Country Variation: Index of Health Facilities
We would like to identify the ranking position of each country of the
world on the basis of IHF in 1990 and 2000.
Due to lack of the relevant indicators of the
IHF, only 172 countries for 1990 and 173 countries
for 2000 have been included in our study. For
1990, 172 counties are divided into three groups
where first 57 countries, scored 0.01 to 0.48,
are categorized as low ranking and next 57 countries,
scored 0.49 to 1.43 are categorized as medium
ranking countries. And last 58 counties are
categorized as high ranking countries whose
score are 1.44 to 5.1. Table 1 shows the country’s
ranking position in 1990 by IHF.
Here we observed that USA (score 5.1) was at the top ranking position
and Somalia (score 0.01) at the lowest ranking
position. That means the health facilities were
more available in USA than the other countries.
Bangladesh ranked 36th position whose
score were 0.24 and at the lower group according
to IHF in 1990.
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Table 1.
Countries by their Index
of Health Facilities in 1990 |
|
IHF
Group
|
Countries
|
|
Low
(0.01
- 0.48)
|
Somalia
(1), Lao People's Democratic Republic
(2), Niger (3), Burundi (4), Haiti (5),
Chad (6), Democratic Republic
of the Congo (7), Central African Republic
(8), Guinea (9), Afghanistan (10), Madagascar
(11), Papua new guinea (12), Angola (13),
Eritrea (14), Ethiopia (15), Lesotho (16),
Benin (17), Senegal (18), Sierra Leone
(19), Burkina Faso (20), Cote D'ivoire
(21), Mauritania (22), Mozambique (23),
Togo (24), Bhutan (25), Djibouti (26),
Liberia (27), Indonesia (28), Comoros
(29), Ghana (30), Uganda (31), United
Republic of Tanzania (32), Cameroon (33),
Congo (34), Rwanda (35), Bangladesh (36),
Cambodia (37), Viet Nam (38), Nepal (39),
Cape Verde (40), Morocco (41), Nicaragua
(42), Sri Lanka (43), Pakistan (44),
Sudan (45), Zimbabwe (46), Gambia (47),
Solomon Islands (48), China (49), Fiji
(50), Nigeria (51), Yemen (52), Thailand
(53), Myanmar (54), Honduras (55), Guyana
(56), Jamaica (57).
|
|
Medium
(0.49
- 1.43)
|
Peru
(58), Suriname (59), Zambia (60), Malaysia
(61), Egypt (62 ), Iran (63), Botswana
(64), Malawi (65), Trinidad and Tobago
(66), Guinea-Bissau (67), Philippine (68),
Kenya (69), Ecuador (70), India (71),
South Africa (72), Algeria (73), Bosnia
and Herzegovina (74), Gabon (75), Equatorial
guinea (76), Romania (77), Samoa (78),
Belize (79), Chile (80), Paraguay (81),
Libyan Arab Jamahiriya (82), Turkey (83),
Namibia (84), Vanuatu (85), Guatemala
(86), Iraq (87), Tunisia (88), Mongolia
(89), Albania (90), El Salvador (91),
Kuwait (92), Mauritius (93), Armenia (94),
Serbia and Montenegro (95), Bolivia (96),
Oman (97), Georgia (98), Saudi Arabia
(99), Republic of Korea (100), Sao Tome
and Principe (101), Tajikistan (102),
Bahamas (103), Swaziland (104), Singapore
(105), Colombia (106), Latvia (107), Mexico
(108), Kyrgyzstan (109), Bulgaria (110),
Poland (111), Costa Rica (112), Democratic
People's Republic of Korea (113), Croatia
(114).
|
|
High
(1.44
– 5.1)
|
Dominican
Republic (115), Ukraine (116), Republic
of Moldova (117), The Former Yugoslav
Republic of Macedonia (118), Syrian Arab
Republic (119), Argentina (120),
Kazakhstan (121), Slovenia (122), Venezuela
(123), Brunei Darussalam (124), Panama
(125), Portugal (126), Slovakia (127),
Estonia (128), Hungary (129), Barbados
(130), Saint Vincent And the Grenadines
(131), United Arab Emirates (132), Cyprus
(133), Maldives (134), Spain (135),
Lithuania (136), Japan (137), Austria
(138), Russian Federation (139), Uzbekistan
(140), Germany (141), Czech Republic (142),
Denmark (143), Bahrain (144), Belarus
(145), Switzerland (146), France (147),
Azerbaijan (148),
Canada (149), Uruguay (150), Greece (151),
Saint Lucia (152), Italy (153), Turkmenistan
(154), Brazil (155), Sweden (156), Belgium
(157), United Kingdom of Great Britain
and Northern Ireland (158), Norway (159),
New Zealand (160), Malta (161), Luxembourg
(162), Lebanon (163), Australia (164),
Israel (165), Tonga (166), Cuba (167),
Finland (168), Iceland (169), Jordan (170),
Ireland (171), United States of America
(172).
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Note: parentheses indicate the corresponding
ranking position in second column
Table 2 provides the country’s ranking according to IHF in 2000 where
the IHF groups are same as the group of 1990
except the high (1.44 – 10.14). We observed
that USA (score 6.97) came down to the 2nd
position and Romania (score 10.14) came at the
top ranking position in 2000. We may conclude
that Romania (77th position in 1990)
improved very much in their health sector than
the other countries and came out from the medium
group within only ten years. Bangladesh (score
0.29) came at 37th position in 2000
which was 36th position in 1990.
It is an indication that population health was
better in 2000 by getting more health facilities
though it didn’t come out from the low ranking
group. We also observed in our calculation that
all countries scored more in 2000 than their
corresponding 1990’s score. That means in all
countries health facilities were increasing
with the passing of time.
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Table 2.
Countries by their Index
of Health Facilities in 1990 |
|
IHF
Group
|
Countries
|
|
Low
(0.01
- 0.48)
|
Somalia (1), Lao People's Democratic Republic (2), Niger
(3), Haiti (4), Democratic Republic of
the Congo (5), Afghanistan (6), Chad (7),
Burundi (8), Guinea (9), Madagascar (10),
Papua New Guinea (11), Angola (12), Central
African Republic (13), Benin (14), Ethiopia
(15), Burkina Faso (16), Cote D'ivoire
(17), Senegal (18), Eritrea (19), Mauritania
(20), Lesotho (21), Togo (22), Mozambique
(23), Sierra Leone (24), Liberia (25),
Djibouti (26), Comoros (27), Ghana (28),
Bhutan (29), Congo (30), Uganda (31),
Cameroon (32), United Republic of Tanzania
(33), Cambodia (34), Indonesia (35), Nicaragua
(36), Bangladesh (37), Viet Nam (38),
Cape Verde (39), Nepal (40), Pakistan
(41), Rwanda (42), Morocco (43), Solomon
Islands (44), Gambia (45), Sri Lanka (46),
Sudan (47), Zimbabwe (48), Yemen (49),
Fiji (50), Nigeria (51), China (52), Honduras(53)
|
|
Medium
(0.49
- 1.43)
|
Peru (54),
Jamaica (55), Thailand (56), Myanmar (57),
Malaysia (58), Malawi (59), Zambia (60),
Guyana (61), Suriname (62), Ecuador (63),
Botswana (64), Egypt (65), Philippine
(66), Trinidad and Tobago (67), Iran(Islamic
Republic of) (68), Gabon (69), South Africa
(70), Guinea-Bissau (71), Kenya (72),
Belize (73), India (74), Algeria (75),
Paraguay (76), Libyan Arab Jamahiriya
(77), Guatemala (78), Chile (79), Vanuatu
(80), Namibia (81), Turkey (82), Equatorial
Guinea (83), Bosnia and Herzegovina (84),
Samoa (85), Iraq (86), El Salvador (87),
Tunisia (88), Mongolia (89), Oman (90),
Saudi Arabia (91), Singapore (92), Bolivia
(93), United Arab Emirates (94), Tajikistan
(95), Kuwait (96), Serbia and Montenegro
(97), Bahamas (98), Albania (99), Colombia
(100)
|
|
High
(1.44
– 10.14)
|
Mauritius (101), Kyrgyzstan (102), Armenia (103), Sao
Tome and Principe (104), Georgia (105),
Mexico (106), Republic of Korea (107),
Venezuela (108), Swaziland (109), Syrian
Arab Republic (110), Brunei Darussalam
(111), Costa Rica (112), Republic of Moldova
(113), Dominican Republic (114), Democratic
People's Republic of Korea (115), Argentina
(116), Latvia (117), Poland (118), The
Former Yugoslav Republic of Macedonia
(119), Bulgaria (120), Uzbekistan (121),
Panama (122), Croatia (123), Slovakia
(124), Cyprus (125), Slovenia (126), Ukraine
(127), Maldives (128), Portugal (129),
Hungary (130), Barbados (131), Kazakhstan
(132), Saint Vincent and the Grenadines
(133), Turkmenistan (134), Austria (135),
Spain (136), Azerbaijan (137), Saint Lucia
(138), Bahrain (139), Germany (140), Switzerland
(141), Denmark (142), Estonia (143), Japan
(144), Belarus (145), Canada (146), Uruguay
(147), Lithuania (148), Czech Republic
(149), France (150), Russian Federation
(151), Greece (152), Israel (153), Italy
(154), Sweden (155), Norway (156), Lebanon
(157), Brazil (158), Luxembourg (159),
Belgium (160), New Zealand (161), United
Kingdom of Great Britain and Northern
Ireland (162), Malta (163), Australia
(164), Cuba (165), Jordan (166), Tonga
(167), Netherlands Antilles (168), Iceland
(169), Finland (170), Ireland (171), United
States of America (172), Romania (173)
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Note: parentheses indicate the corresponding ranking
position in second column
Study of health facilities by country is a complex one. A sound conclusion
on this phenomenon is difficult if significant
data are not available. The performance of the
health care sector obviously remains an important
factor (UN, 1988). It is true that universal
attainment of an acceptable level of health
and welfare services should be the main purpose
of health development. Health and welfare systems
development should be advocated by all as a
social movement for human development.
- More studies are needed and the policy makers should have to delineate
necessary laws, regulations, funds and personnel
regarding health facilities to achieve a high
standard of living and highest life expectancy;
- Timely, accurate and sufficient data should be published to demonstrate
the situation of health facilities which helps
the policy makers and experts to make their
policy and decisions for a country’s development;
- Also the top ranking country’s policies should be followed by other
countries to improve their health sector.
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M, Ahmed F, and Adams A. Bangladesh: an intervention
study of factors underlying increasing equity
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M., Diderichson F., Bhuiya A., and Wirth M.
edited Challenging Inequities in Health: From
Ethics to Action. New York: Oxford University
Press, 2001.
- International
Society for Equity in Health (ISEqH). Working
definitions 2001 (http://www.equityhealth.com),
2001.
- Gupta, K. Industrialization,
urbanisation, and rural development in India,
Population Transition in India, B.R. Publishing
Corporation, 1989(2).
- Rahman, M. M. Population
change and development in Bangladesh: A multivariate
analysis, Unpublished M. Phil thesis, University
of Rajshahi, Bangladesh, 1999.
- United Nations. Framework
for population development integration: ESCAP
regional prospectus, 6-10 June, ESCAP, Bangkok,
Thailand, 1988 (1).
- United Nations Development
Program. Human Development Report 1997. New
York: Oxford University Press, 1997.
- World Health Organization.
World Health Statistics 2006, WHO Press, World
Health Organization, 20 Avenue Appia, 1211
Geneva 27, Switzerland, 2006.
- World Population
Prospectus. The 2006 Revision Population Database.
United Nations Population division. Available
at http://esa.un.org/unpp/ accessed on October
2, 2007.
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