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10.1  Introduction
Decades of conflict had a devastating effect on the health system of Afghanistan. At the time of the overthrow  of  the  Taliban  regime  in  2001,  the  country  recorded  some  of  the  world’s  worst  health
statistics, including estimated infant mortality rates of 165 per thousand live births, under-five mortality of more than 250 per thousand live births and maternal mortality of 1,600 per 100 thousand live births
MoPH 2005. More than one-third of health facilities were severely damaged and the rest failed to meet WHO standards Ministry of Health 2002. In addition, many health professionals had fled the country
and the remaining lacked good clinical training and were severely underrepresented in rural areas. Since  then,  the  Ministry  of  Public  Health  MoPH  has  coordinated  the  efforts  to  rebuild  the  health
system. A strategy to deliver a Basic Package of Health Services BPHS was developed in 2002 and updated in 2005 and 2010, with the aim to provide a core service delivery package in all primary health
care facilities, addressing the principal health problems of the population, especially the most vulnerable groups
– women and children – and the rural population Ministry of Health 2003, MoPH 2005, MoPH 2010.  Previous  NRVAs  and  other  health  surveys  showed  that
many  of  Afghanistan’s  main  health indicators  are  rapidly  improving,  although  they  remain  low  by  international  standards.  Other  health-
related  indicators  show  mixed  results:  the  food  security  situation  in  the  country  remains  fragile  see chapter 9, but significant advance has been achieved with respect to access to safe drinking water see
chapter 10 and to a lesser extent access to improved sanitation chapter 12. ALCS 2013-14, as its preceding NRVAs, provides information about specific health indicators. Previous
survey rounds covered maternal and child health, access to health facilities, health care expenditure and use of health care providers. In line with the principle of rotating modules in successive surveys, the
present  ALCS  focused  on  maternal  health  section  10.3,  breastfeeding  10.4  and  access  to  health facilities 10.2. The next ALCS will again collect data on health care expenditure and disability, next
to some basic information about maternal and child health, family planning and health care access. In addition, the 2015 DHS is expected to provide detailed health information in 2016.
10.2  Access to health services and care-seeking behaviour
10.2.1  Travel time, travel costs and staff availability Access to health services is a multi-dimensional concept. It not only relates to the physical distance to
health facilities or the travel time involved, but also involves the costs of travel and services, as well as opportunity costs, cultural responsiveness to clients’ needs, mobility of women, and even the ‘value’
attached to the health and survival of specific household members, such as children and women the demand-side  barriers  to  access  health  services.  As  the  previous  NRVAs,  the  ALCS  2013-14  Shura
questionnaire provides information about travel time and travel costs required to reach health facilities, as well as information about gender-specific availability of health care staff. These figures should be
treated with care because of high non-response rates, as well as the possibl
e respondents’ inability to identify the correct type of health care provider and position of health care staff.
Distance and costs to reach a health facility can be primary reasons for low use of health care, especially in remote areas. Thus, the 2006 Afghanistan Health Survey AHS suggested that
– after the absence of urgency  for  seeking  health  care
– the  most important  reason  for  not  seeking  care  was  distance  27 percent and the fourth-most important reason mentioned was transport costs 11 percent. In line with
159
this,  male  and  female  Shuras  responses  to  the  successive  rounds  of  NRVA  invariantly  mentioned improved access to health facilities among the top priorities.
Table  10.1
panel  a  gives  the  percentage  of  population  that  is  able  to  reach  different  types  of  health facilities within a specified time by any means of transport. It is evident that the urban population has
almost universal access to health care of any type within two hours. For rural populations – including
Kuchi – access time is less favourable: only around three-quarters can reach a referral hospital or a
private clinic within two hours, but close to nine in ten has access to a health post or a public clinic within  this  time.  Compared  to  NRVA  2011-12,  the  situation  for  rural  populations  seems  to  have
improved with regard to access to public and private clinics both around 83 percent then, but not so with  regard  to  health  posts  and  district  or  provincial  hospitals.  However,  a  major  improvement  has
occurred since 2006, when  only 60 percent of the total population
– including urban residents – had access to any health facility MoPH 2007.
In terms of travel costs to reach different health providers, rural Afghans are much more disadvantaged compared with urban dwellers. They typically pay around nine times as much for a one-way trip to a
health facility, on average around 350 Afs per person to a referral hospital or a private clinic, around 185 Afs to a public clinic or a private pharmacy and somewhat less to the nearest health post Table
10.1, panel b. The median travel costs
– the costs level below and above which half of rural households has to pay
– are usually much less than the average costs. This indicates that there is a large variation in travel costs for rural dwellers, some of whom have to pay large sums to reach health care.
Among the modalities considered in the survey, the time to reach a health care provider and the costs involved are by far the most important reasons for women not to use health care services. For 36 percent
of women who were in need of health care, the distance to the provider was the main reason not to seek care and for 52 percent the costs were the main reason see also section 10.2.2. Since women usually
have to be accompanied by a male family member, the cost for their travel to a health centre is often even  more  than  that  for  a  male  patient,  making  access  to  health  care  for  women  in  many  cases
prohibitively expensive. In the gender-sensitive context of Afghanistan, another impeding factor to seek health care is the absence
of same-sex health care staff. Results from the ALCS 2013-14 show that within the public health system only higher up in the referral system and in urban areas any presence of female staff reaches levels close
to full coverage
Table 10.2
. For example, in rural areas only 43 percent of the population can consult a female doctor in a public clinic and for 28 percent no female midwife is available there.
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Table 10.1: Population, by residence, and by a travel time to health facilities in percentages and b one-way travel costs to health facilities in Afs
a
a. Travel time b. Travel costs
Type of health facility, Urban
Rural
b
National Type of health facility,
Urban Rural
b
National residence
travel cost a. Health post
a. Health post Less than 2 hours
n.a. 89.7
89.7 Mean
n.a. 127
102 2 to 6 hours
n.a. 2.8
2.8 Median
n.a. 40
20 6 hours or more
n.a. 7.5
7.5 b. Public clinic
b. Public clinic Less than 2 hours
100.0 88.2
89.9 Mean
23 187
143 2 to 6 hours
0.0 6.9
5.9 Median
10 70
40 6 hours or more
0.0 4.9
4.1 c. DistrictProvincial hospital
c. DistrictProvincial hospital Less than 2 hours
98.9 76.9
80.1 Mean
45 354
277 2 to 6 hours
1.1 18.0
15.6 Median
20 150
100 6 hours or more
0.0 5.1
4.3 d. Private clinic
d. Private clinic Less than 2 hours
98.5 72.6
77.0 Mean
37 348
258 2 to 6 hours
1.5 19.1
16.1 Median
10 150
80 6 hours or more
0.0 8.3
6.9 e. Private pharmacy
e. Private pharmacy Less than 2 hours
100.0 85.0
87.4 Mean
12 183
135 2 to 6 hours
0.0 9.2
7.8 Median
10 60
30 6 hours or more
0.0 5.8
4.9
a
Figures  between  brackets  are  considered  less  reliable,  since  these  are  based  on  variables  with  more  than  20 percent missing values.
b
Including Kuchi
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Table 10.2: Population, by residence, and by presence of different staff types in different health facilities in percentages
a
Health care provider, Urban
Rural
b
National staff type
a. Health post Female CHW
n.a. 40.3
45.4 Male CHW
n.a. 71.1
72.2 b. Public clinic
Female doctor 89.9
43.3 55.5
Female nurse 93.3
54.8 64.7
Female midwife 85.9
72.1 75.4
Male doctor 93.2
76.8 80.9
Male nurse 88.0
73.2 76.7
c. Districtprovincial hospital Female doctor
99.6 86.3
89.8 Female nurse
99.6 85.7
89.3 Female midwife
99.6 91.1
93.3 Male doctor
99.6 96.9
97.6 Male nurse
98.8 95.0
96.0 d. Private clinic
Female doctor 94.3
71.9 78.2
Female nurse 94.1
67.7 75.2
Female midwife 96.5
73.3 79.9
Male doctor 99.2
86.9 90.4
Male nurse 98.2
80.4 85.4
e. Private pharmacy Female CHW
59.2 27.3
36.0 Male CHW
86.7 89.2
88.6
a
Figures  between  brackets  are  considered  less  reliable, since  these  are  based  on  variables  with  more  than  20
percent missing values.
b
Including Kuchi
Despite the generally low levels of female staff, compared to the NRVA 2007-08 their availability has increased.  Nationally,  female  public-clinic  staff  doctors,  nurses  and  midwives  increased  with  20
percent or more in the intervening period, and the availability of female staff in private clinics improved even more: midwives with 25 percent, doctors with 31 percent and nurses with 39 percent
Figure 10.1
. It is worth noticing that the addition of public female staff except for midwives concentrated in urban
areas, whereas by far the largest impact of enhancing the presence of private female staff occurred in rural  areas.  The  increase  of  female  community  health  workers  in  health  posts  between  2007-08  and
2013-14 is estimated at 48 percent data not shown here.
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Figure 10.1: Increase of female staff in a public and b private clinics since 2007-08, by residence, and by staff type in percentages
a
a. Public clinics b. Private clinics
a
Results are considered less reliable, since these are based on variables with more than 20 percent missing values.
10.2.2  Care-seeking behaviour The ALCS 2013-14 had a few questions on whether the female respondent had been sick or injured
during the last 30 days before the survey, and what was her subsequent care-seeking behaviour. No less than 43.3 percent of all women 14 years and older responded that they had been sick or injured. Kuchi
women  indicated  most  frequently  that  they  had  been  sick  or  injured.  Almost  half  of  Kuchi  women reported they had a medical problem 48.2 percent, against 40.4 percent in urban and 44.2 percent in
rural areas.
Figure 10.2
depicts the age-specific percentages of women who reported to have been sick or injured during the month before the survey, by five-year age group and whether they had sought treatment or
not.  Incidence  of  disease  or  injury  is – not surprisingly – highest among the older group of women.
Among all persons 70 plus together, 62.0 percent reported they had been sick or injured: 47.2 percent had sought treatment for their illness and 14.8 percent did not. Even at age 14, one in five girls reported
to have been sick. Above age 35, in none of the five-year age groups is the incidence of disease lower than 50 percent.
The green line in Figure 10.2 shows the percentage of all women who were sick or injured that sought medical care. In general, among all those who had been sick or injured, 25.8 percent had not sought
medical treatment. Typically, between 70 and 80 percent of women seek care when ill, irrespective of age. The percentage of women seeking treatment for illness or injury is about the same between urban
and rural areas 75.2 against 74.3 percent. Kuchi women seek treatment a bit less frequently compared to the other groups 68.0 percent.
22 13
24 21
16 23
16 20
21
5 10
15 20
25 30
35 40
45 50
Urban Rural
National P
er cen
tag e
Doctor Nurse
Midwife 2
39 31
12 45
39
6 28
25
5 10
15 20
25 30
35 40
45 50
Urban Rural
National P
er ce
n tag
e
Doctor Nurse
Midwife
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Figure 10.2: Women 14 years and older who had been sick or injured during the month before the survey, by age, and by treatment sought in percentages; also women who sought help among sick or
injured women, by age in percentages
The ALCS 2013-14 also asked for the first and second most important reason why no medical attention was  sought.  For  those  why  did  answer  the  questions,  the  reasons  why  no  treatment  was  sought  are
presented in
Tables 10.3a
and
10.3b
for urban, rural and Kuchi population groups.
51
First, 23.0 percent of women who did not seek care indicated that the health problem was not serious enough to seek help. This percentage was much higher in urban areas 36.0 percent than in rural areas
and  among  Kuchi  women.  Consequently,  the  complementary  77.0  percent  of  the  25.8  percent  ill  or injured women who did not seek medical support
– some 20 percent of ill or injured women, around 650 thousand women every month
– had an unmet need for medical care. For rural women, distance to a health facility is about as important a reason not to seek care as the costs
involved around 35 percent. As obviously distance is not a main obstacle in urban areas see also Table 10.1, for urban women the consideration of costs involved in health care becomes the most important
reason why they did not get medical attention; 55.3 percent of them indicated this as the first reason. The  most  important  reason  for  Kuchi  women  not  to  seek  care  is  the  physical  distance  to  the  health
facility: 47.8 percent of them indicated medical help is just too far away. Overall, for 39.4 percent of women  expenses  for  treatment,  travel  and  other  health-related  costs  are  the  first  cause  to  remain
untreated when they have health problems, whereas distance is the main reason for 27.9 percent. When zooming in on those women for whom their ill-health condition was sufficient reason to want medical
attention, these figures become 36 and 51 percent. In addition, costs and distance were also mentioned
51
Unfortunately, these health questions were not very well answered and no answer was obtained in 37 percent of all cases.
15 16
27 32
36 40
41 45
46 45
48 47
41 61
56 46
6 7
9 12
13 14
14 12
14 15
15 13
16 15
10 14
10 20
30 40
50 60
70 80
90
10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84 85+ P
er ce
n tag
e
Age Sick or injured sought care
Sick or injured did not seek care
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as the second most important reason for not using health care, for 15.3 and 17.5 percent of the women who did not seek support Table 10.3b.
Table 10.3: Women 14 years and older who were ill or injured during the period of 30 days before the survey and did not seek medical attention, by place of residence, and by a main and b second
reason why not seeking health care in percentages
a. Main reason Total
Urban Rural
Kuchi Total
100.0 100.0
100.0 100.0
No neednot serious 23.0
36.1 19.1
16.3 Too expensive
39.4 55.3
34.8 29.6
Too far 27.9
2.8 34.6
47.8 No one to accompany
2.3 2.2
2.5 0.5
Security concern 2.0
0.2 2.6
1.8 No female medical personnel
1.8 0.6
2.3 1.0
Traditional constrain 1.3
0.2 1.7
0.0 Husband or family did not allow
0.9 0.6
1.1 0.0
Other 1.4
2.1 1.1
2.9
b. Second reason Total
Urban Rural
Kuchi Total
100.0 100.0
100.0 100.0
No neednot serious 2.6
0.9 3.3
1.8 Too expensive
15.3 4.8
18.3 20.9
Too far 17.5
8.6 20.6
15.4 No one to accompany
6.0 3.2
7.1 3.3
Security concern 4.5
0.2 5.9
5.2 No female medical personnel
2.2 0.7
2.6 3.3
Traditional constrain 1.1
0.3 1.0
6.0 Husband or family did not allow
1.7 0.5
2.2 2.0
Other 3.6
2.3 4.2
1.8 No second reason
45.5 78.5
34.8 40.2
Reasons for not seeking medical care that are connected to deprivation of women are ‘no female medical
staff’, ‘no one to accompany’, ‘husband or family did not allow’ and ‘traditional constraints’. Of these categories, ‘no one to accompany’ is the most important with 2.3 percent as the first reason and 6.0
percent as the second reason. These results clearly show that poverty and geographical isolation are much more important reasons
than gender deprivation to explain why women often do not get the medical attention they need when they are sick or injured. These results confirm the findings of the NRVA 2007-08 and AHS 2006, where
expenses and distance were also found to be the major constraints for women to use health services.
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10.3  Maternal health