Open Access

Incentives to yield to Obstetric Referrals in deprived areas of Amansie West district in the Ashanti Region, Ghana

  • Gladys Buruwaa Nuamah1,
  • Peter Agyei-Baffour1Email author,
  • Kofi Mensah Akohene1,
  • Daniel Boateng2,
  • Dominic Dobin3 and
  • Kwasi Addai-Donkor4
International Journal for Equity in HealthThe official journal of the International Society for Equity in Health201615:117

https://doi.org/10.1186/s12939-016-0408-7

Received: 23 February 2016

Accepted: 18 July 2016

Published: 22 July 2016

Abstract

Background

Obstetric referrals, otherwise known as maternal referrals constitute an eminent component of emergency care, and key to ensuring safe delivery and reducing maternal and child mortalities. The efficiency of Obstetric referral systems is however marred by the lack of accessible transportation and socio-economic disparities in access to healthcare. This study evaluated the role of socio-economic factors, perception and transport availability in honouring Obstetric referrals from remote areas to referral centres.

Methods

This was a cross-sectional study, involving 720 confirmed pregnant women randomly sampled from five (5) sub-districts in the Amansie west district in Ghana, from February to May 2015. Data were collected through structured questionnaire using face-to-face interviewing and analyzed using STATA 11.0 for windows. Logistic regression models were fitted to determine the influence of socio-demographic characteristics and pregnancy history on obstetric referrals.

Results

About 21.7 % of the women studied honoured referral by a community health worker to the next level of care. Some of the pregnant women however refused referrals to the next level due to lack of money (58 %) and lack of transport (17 %). A higher household wealth quintile increased the odds of being referred and honouring referral as compared to those in the lowest wealth quintile. Women who perceived their disease conditions as emergencies and severe were also more likely to honour obstetric referrals (OR = 2.3; 95 % CI = 1.3, 3.9).

Conclusion

Clients’ perceptions about severity of health condition and low income remain barriers to seeking healthcare and disincentives to honour obstetric referrals in a setting with inequitable access to healthcare. Implementing social interventions could improve the situation and help attain maternal health targets in deprived areas.

Keywords

Obstetric referralsMaternal healthDeprived areasInequitable access to healthcareAmansie WestGhana

Background

The progress towards fulfilling the fifth UN Millennium Development Goal (MDG 5), to reduce maternal mortality by three quarters by 2015, is still far off the track in most countries of the world [1]. Despite evidence of effective interventions to promote safe motherhood, morbidity and mortality related to pregnancy and childbirth remain major challenges to stakeholders in health in low-and- middle-income countries. Developed countries have actually succeeded in improving maternal health and reducing maternal mortality. Developing countries on the other hand, are still faced with big inequalities in health within and between different segments of the populations. Disadvantaged groups of women tend to have higher rates of both morbidity and mortality, and less access to safe, affordable and acceptable health care services to enable safe pregnancy and childbirth [1, 2].

Obstetric referral is an important component of emergency care, necessary in reducing maternal mortality. Inability to timely refer expectant mother and refusal of the referred client to honour such referral leads to development of life-threatening complications, often resulting in preventable maternal deaths. Referrals systems connect the lowest level of care to the highest level and ensure access to specialist and continuum of care, as patients are referred from dispensaries and health centers in communities to a secondary level of care [3]. Previous evidence suggests that effective and efficient referral system could reduce stillbirth by 27 %, neonatal deaths by 18 % and maternal deaths by 50 % [4].

In Ghana, the community level represents the largest continuum of the health system and this comprises the community health clinic and the Community-based Health Planning and Services (CHPS), which mainly offer preventive care. This strategy was adopted in 1999 to extend quality Primary Health Care (PHC) to all Ghanaians, especially those in remote areas. It functions in galvanizing local leadership and empowering communities to engage in health outreach activities. A Community Health Officer (CHO) and a nurse are delegated to distant village locations (CHP zones), where they follow clients to their communities and homes to deliver basic health services. The CHO initiates referral to the next level of care during emergencies [5, 6]. The next level of care is the sub-district level, which entails the sub-district management team and health center for managing basic Emergency Obstetric and Neonatal Care (EmONC). From this point, patients are referred to the district referral hospital and then further to the regional hospital.

Maternal health referral systems in Ghana is however fraught with gaps in service proficiency, leading to increased maternal risk. These are exacerbated by socio-economic characteristics, distance to health facility, financial constraints, access to reliable transport services, quality of care and unstructured referral systems [7]. The interplay of these factors influence physician referrals [811] and patients’ acceptance to go to the next level [12, 13]. Alter [9], for example, found individuals with high socio-economic status to be more likely to be referred. However, the role of these factors in ensuring smooth referrals in this setting appears to be overlooked.

It is important to note that, the outcome of late obstetric referrals could be detrimental to both the pregnant mother and unborn baby. Pregnancy complications are unpredicted and have the potential to develop rapidly to become severe and life threatening. Previous literature suggests that about two-thirds of women in developing countries deliver at home, without having access to health professionals [14]. Effective referral could prevent the phase II delays (delays in reaching the appropriate facility), as postulated by the three delays model, which describes factors influencing the timely arrival to appropriate care in obstetric emergencies [15]. This study is important, to provide insight into the current obstetric referrals in the Amansie West district. It also adds to existing knowledge on factors that influence obstetric referrals to secondary level of care. This is important to understand which individuals are likely to honour referrals to secondary level of care to help address disparities in access to healthcare.

Methods

Study design and setting

A cross-sectional study, which employed quantitative methods, was conducted from February to May 2015 in the Amansie West district in the Ashanti region, Ghana. The district, which has Manso Nkwanta as its capital is one of the 35 districts in the region. It is about 1,364 sq km in size and uniformly rural and deprived. The topography is characterised by waterlogged and dust during the wet and dry seasons respectively. The large expanse of land coupled with rugged relief makes transporting emergencies cases very difficult and sometimes impossible. It takes an average of 5–7 h to transport emergency case from the remote areas to the district hospital at Agroyesum or nearby district hospitals. There is a burden of heavy workload on the few available health staff. The district has a projected population of 149,437 as at 2014 with an annual growth rate of 2.7 %. There are currently 22 health facilities and 54 functional CHPS zones. The doctor to population ratio is 1: 74,719; nurse to population ratio 1:2, 767 and midwife to women in fertility age (WIFA) ratio is 1:4,528. There is a high rate of illiteracy (70 %) and a high dropout rate in schools especially among girls. These conditions are possible risk factors for teenage pregnancies and obstetric complications [16].

Study population and sampling

The study population consisted of diagnosed second trimester pregnant women presenting at the antenatal clinic who provided written informed consent and satisfying the group-based inclusion criteria.

A multi-stage sampling technique was employed for this study. The antenatal clinics in the study communities were selected from numbers 1 to 10, without replacement by research assistants. At the selected community antenatal clinic, systematic random sampling, guided by a sampling interval (estimated as the required sample size divided by the total attendants), was used to select the required subjects for the study. The sample size was estimated with recourse to Cochran (1977) [17]. Using this formula, and assuming access to referral service at 50 % and a non-response of 20 %, a total of 720 pregnant women were sampled from five towns; one each from the five sub-districts to participate in the study. The required respondents from selected health facilities were proportional to size of total eligible population per community. The distribution of respondents according to the sub district was Manso Nkwanta 120, Edubia 141, Agroyesum114, Antoakrom 140 and Esuowin 205, Table 1.
Table 1

Sample distribution from the study communities

Sub-district

Total population

4 % WIRA

Sample size

Antoakrom

17706

708.24

139.95

Agroyesum

14, 428

577.22

114.04

MansoNkwanta

15,187

607.48

120.04

Edubia

17,777

711.08

140.51

Esuonwin

25,997

1039.9

205.48

Data collection and analysis

A structured questionnaire was used to elicit information on respondents’ socio-demographic and socio-economic characteristics, pregnancy history, experiences and perceptions of obstetric referrals. The questionnaires were pretested among 20 respondents in a sub-district with similar characteristics like the study sub-districts to check for clarity, consistency, and acceptability. The pretested sub-district was excluded from the study to avoid spill over effects. Questionnaires were interviewer administered and the interview results from the field were checked for completeness and internal errors prior to data entry.

Data entry and preliminary analysis were done in EPIDATA and more detailed analysis done with Stata 11.0 for windows [18]. Descriptive statistics were summarized and displayed in graphs and charts. Verified data were cleaned on a regular basis through running programmes on legal values and consistency checks. Data analysis consisted of descriptive statistics, checking of potential assumption violations and testing of the study hypothesis. Continuous variables were compared using student t-test and discrete variables analyzed using χ 2 in r X n tables. Logistic regression models were fitted to determine the influence of socio-demographic characteristics and pregnancy history on obstetric referrals, and to control for covariates. The binary outcome (obstetric referral) was based on respondents’ response to the question on whether they honoured referrals for obstetric reasons to the secondary level or not. Two models were fitted; model 1 consisted of only socio-economic variables (education, employment, length of stay in community, household wealth and self-rated socio-economic status) and model 2 involved the addition of pregnancy history (miscarriages and still births) and perception of disease condition. Variables in the multivariable analysis were selected based on p-value of less than 0.250 in the univariable analyses. For all analysis, a 2-tailed α with p < 0.05 was considered statistically significant.

Institutional Review Board (IRB)

The protocols of this research were reviewed and cleared by the Committee for Human Resource Publications and Ethics of Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, before the commencement of the study. Prior informed consent was also sought from all participants. All recruited patients and health personnel signed an informed consent and permission was sought from the District Health Directorate, Amansie West and the opinion leaders of study communities.

Results

Socio-demographic characteristics and pregnancy histories

Table 2 shows the results of background characteristics of respondents in this study. The median age of the women in this study was 25 years and majority, 57.5 % were in the age range of 20 to 29 years. Most women had basic education (primary, JHS or middle school). About 17 % had no formal education and only 1.4 % had tertiary education. With respect to their marital status, 65.5 % were cohabitating whereas 28.8 % were married. More than three-fourth of the women were employed and 25.1 and 28.3 % of them were farmers and traders respectively. Two hundred respondents, constituting 27.8 % had no child whereas 19.6 % had more than three children. About 97 % had registered with the NHIS and almost all of them with the exception of two were active members of the scheme. The mean length of stay in the community was 15.5 years (SD = 11.0) and 34.9 % had lived in the community for more than 20 years. The distribution of wealth, by quintiles was quite proportional among the women, with 21.4 and 27.3 % distributed in the lowest and highest quintiles respectively. Most of the women rated themselves as moderately rich whereas 6.3 % rated themselves as very poor. About 57.2 % disclosed that they spoke to their husbands before seeking healthcare or honouring a referral.
Table 2

Background characteristics and univariable associations with obstetric referrals

Variables

Frequency

N = 720

Percentage

Referral to secondary level

p-value

Yes, %

No, %

Age

 <20

99

13.8

19.2

80.8

0.723

 20–29

414

57.5

22.2

77.8

 

 30–40

191

26.5

22.6

77.4

 

 >40

16

2.2

12.5

87.5

 

Highest educational level

 None

121

16.8

22.5

77.5

0.011

 Primary

148

20.6

31.1

68.9

 

 Middle/JHS

357

49.6

19.3

80.7

 

 Secondary/SHS

84

11.7

16.7

83.3

 

 Tertiary/others

10

1.4

0.0

100.0

 

Marital status

     

 Married

208

28.9

20.7

79.3

0.912

 Cohabitation

457

63.5

22.1

77.9

 

 Single/Divorced

55

7.6

21.8

78.2

 

Occupational status

 Trading

180

25.1

26.6

73.4

0.068

 Farming

203

28.3

23.2

76.8

 

 Public service/ Small Scale mining/Galamsey/banker/other

176

24.5

15.6

84.4

 

 Unemployed/student

158

22.0

20.4

79.6

 

Registered with NHIS

 Yes

697

97.1

22.0

78.0

0.530

 No

23

2.9

14.3

85.7

 

Length of stay in community

 <5

188

26.1

17.0

83.0

0.187

 5–10

112

15.6

27.7

72.3

 

 10–15

43

6.0

16.3

83.7

 

 15–20

126

17.5

24.6

75.4

 

 >20

251

34.9

22.0

78.0

 

Household wealth

 First quintile (lowest)

137

21.4

16.1

83.9

0.085

 Second quintile

187

29.2

23.5

76.5

 

 Third quintile

142

22.1

19.7

80.3

 

 Fourth quintile (Highest)

175

27.3

27.6

72.4

 

Self-rated socio-economic status

 Rich

46

6.4

34.8

65.2

0.002

 Moderately rich

486

67.5

17.7

82.3

 

 Poor

143

19.9

27.3

72.7

 

 Very poor

45

6.3

33.3

66.7

 

Test: Chi-square/Fischer’s exact test

The pregnancy histories of the women are presented in Table 3. The gestational age of majority of the women was four to eight weeks and about 65 % had had three pregnancies or more. About 29.2 % of 537 respondents had had no live births whereas 19.2 % had three or more live births. Most of the women, 77.4 %, had never experienced miscarriages and 90.9 % had no stillbirths. About 99.2 and 74.6 % of respondents had no ectopic pregnancies and induced abortions respectively. Oedema was the most cited disease condition experienced by the women during pregnancy (23 %), followed by cough (18.6 %) and most of the respondents, 79.8 %, disclosed that they did not perceive their disease conditions as emergencies.
Table 3

Pregnancy histories of study population and univariable associations with obstetric referrals

Variables

Frequency

N = 720

Percentage

Referred to next level of healthcare

p-value

Yes, %

No, %

Total pregnancies (n = 526)

− 1

86

16.3

20.0

80.0

0.369

− 2

98

18.6

20.4

79.6

− 3

106

20.2

28.3

71.7

− >3

236

44.9

26.7

73.3

Live births (n = 527)

− 0

154

29.2

22.9

77.1

0.502

− 1

120

22.8

22.5

77.5

− 2

80

15.2

25.0

75.0

− 3

72

13.7

22.2

77.8

− >3

101

19.2

31.7

68.3

Miscarriages (n = 526)

− None

407

77.4

23.2

76.8

0.081

− 1

90

17.1

26.7

73.3

− 2 or more

29

5.5

41.4

58.6

Still births (n = 525)

− None

477

90.9

23.9

76.1

0.211

− 1

32

6.1

37.5

62.5

− 2 or more

16

3.0

33.3

66.7

Induced abortions (n = 523)

− None

390

74.6

26.0

74,0

0.590

− 1

100

19.1

23.0

77.0

− 2 or more

3

6.3

18.2

81.8

Disease conditions during pregnancy (n = 522)

− Oedema

120

23.0

18.5

81.5

0.257

− Cough

97

18.6

24.7

75.3

− Rashes

35

6.7

25.7

74.3

− Malaria

97

18.0

23.5

76.6

− Other

176

33.7

30.1

69.9

Perception about disease conditions (n = 554)

− Emergencies

112

20.2

33.9

66.1

0.005

− Not emergencies

443

79.8

21.3

78.7

Test: Chi-square/Fischer’s exact test

Differences in background characteristics and pregnancy history between outcome groups

Tables 2 and 3 also summarise the comparison between women who were referred or not with respect to their socio-demographic characteristics and pregnancy history. As shown in Table 2, maternal health referral was associated with educational level (p = 0.011) and self-rated socio-economic status (p = 0.002). Obstetric referral was shown to decrease with increasing level of education. The age of the mothers, marital status, occupation, NHIS subscription, duration of stay in community, and health wealth quintile had no influence on maternal referrals in the district. Obstetric referrals to secondary level, was influenced by women’s perception of their disease conditions. Women, who perceived their disease conditions to be emergencies or severe were more likely to honour their referral to the next level (33.9 % versus 21.3 %; p = 0.005). The number of stillbirths, induced abortions, miscarriages and live births were not significantly different between the two outcome groups.

Obstetric referrals and access to transportation during referrals

Table 4 presents results on obstetric referrals in the Amansie West district, Ashanti region. It also shows results on access to transportation services during emergencies. Most of them disclosed that they were seen or referred for conditions other than malaria or vomiting. More than 90 % disclosed that they always meet staff at the referral point and about 76.6 % indicated that the health staffs at the referral points were able to solve the problems. About 22 % of the women had ever been referred to the next level of care. Most of the women who are referred to health center or maternity home were not further referred to the next level whereas 3.2 % were always referred. The womens’ reasons for not going to the next level when referred included lack of money (58 %), lack of transport (17 %) and other reasons (21 %) as shown in Fig. 1. Majority, 61.9 % of the women felt referrals should be only for severe conditions or in situations when logistics are inadequate (34.7 %). Among 637 respondents, 95.8 % disclosed that transport services were available whenever needed for emergencies and commercial cars was the most cited emergency transport service available (88.2 %) whereas only 6.6 % cited ambulance. Only 26.8 % of the women had access to an ambulance during emergencies and about 15 % spent up to an hour to arrange for transport during emergencies. The health facility was quite proximal to more than half of the women, who spent less than 30 min to reach the health facility.
Table 4

Maternal health referrals

Variables

Frequency

Percentage

Ever seen by community health extension worker

− Yes

72

10.0

Meeting health staff at the referred point (Maternity, CHPS and Heath Center, chemical seller) (n = 543)

− All the time

505

93.0

− Most of the time

28

5.6

− Some of the time

9

1.7

− Rarely

1

0.2

Health staffs ability to solve problems (n = 350)

− All the time

268

76.6

− Most of the time

63

18.0

− Some of the time

19

5.4

Ever referred by community health extension workers

156

21.7

Personal feeling about referrals (n = 525)

− Severe condition

325

61.9

− Inadequate logistics/equipment

182

34.7

− Fear

15

2.9

− Other

3

0.6

Availability of transport services for emergencies (n = 637)

− Yes

610

95.8

Means of transport when referred to next level (n = 707)

− Commercial cars

624

88.2

− Ambulance

48

6.8

− Motor bikes

29

4.1

− Others

6

0.8

Access to ambulance services when needed for emergencies (n = 717)

192

26.8

Length of time to have transportation when referred (in minutes) (n = 708)

− <30

586

82.8

− 30 – 60

106

15.0

− >60

16

2.3

Mean (SD)

13.4 (9.2)

 

Range

0–120

 

Total cost of medical care at the clinic in last nine month (n = 718)

Min/max

0.00/1001.00

 

Mean (SD)

19.50 (47.1)

 
Fig. 1

Disincentives to honour referrals to the next level of healthcare

Predictors of obstetric referrals

In Table 5, we show the results of multivariable regression analysis of the influence of socio-demographic characteristics and pregnancy history on the odds of honouring referral to the secondary level of health care. In model 1, where the socio-demographic variables were controlled for each other, household wealth quintile and self-rating of socio-economic status had significant influence on maternal health referrals. Mothers who were in the second and fourth quintiles were more likely to be referred and accordingly honour the referrals as compared to those in the lowest quintile. These odds ratios increased in model 2 when pregnancy histories were introduced into the model. Women who were in the second quintile were 4.7 times more likely to be referred and yielded to referral advice as compared to those in the lowest quintile (OR = 4.7; 95 % CI = 2.0–10.8). In model 2, women who perceived their disease conditions as emergencies or severe were 2.3 times more likely to yield to referrals to the secondary level as compared to those who did not (OR = 2.3; 95 % CI = 1.3–3.9).
Table 5

Multivariable logistic regression analyses of factors influencing maternal health referrals

Variables

Model 1

AOR [95 % CI]

Model 2

AOR [95 % CI]

A. Socio-economic

Highest educational level (ref = none)

− Primary

1.7 [0.9, 3.2]

1.4 [0.7, 2.9]

− Middle/JHS

0.8 [0.4, 1.3]

0.8 [0.4, 1.6]

− Secondary/Tertiary/others

0.6 [0.3, 1.3]

0.6 [0.2, 1.5]

Employed

1.1 [0.6, 1.9]

1.2 [0.6, 2.4]

Length of stay in community

1.0 [1.0, 1.0]

1.0 [1.0, 1.0]

Household wealth (ref = first)

− Second quintile

2.7 [1.4, 5.1]**

4.7 [2.0, 10.8]***

− Third quintile

1.6 [0.8, 3.1]

2.9 [1.2, 6.8]*

− Fourth quintile (Highest)

2.2 [1.2, 4.3]*

2.9 [1.2, 6.6]*

Self-rated socio-economic status (ref = Rich)

− Moderately rich

0.4 [0.2, 0.9]*

0.4 [0.2, 1.0]

− Poor/very poor

1.0 [0.4, 2.2]

0.8 [0.3, 2.3]

B. Pregnancy history and perception of disease

  

One or more miscarriages

 

1.3 [0.8, 2.2]

One or more still births

 

1.1 [0.5, 2.4]

Perceive disease conditions as emergencies

 

2.3 [1.3, 3.9]**

Outcome: maternal health referral; *p < 0.05; **p < 0.01; ***p < 0.001

Discussion

Efficient referral systems are very essential in maternal healthcare to ensure a smooth linkage between the lower levels of care, which provides mainly preventive services with the higher specialized healthcare delivery. This study sought to gain insight into the referral systems at the Amansie West district in Ghana, and to assess the influence of socio-economic factors, transport availability and pregnancy history on obstetric referrals. This study had two main findings. First, the study found transportation as an important factor in effective referral system. Access to ambulance was quite low and difficulty in accessing transportation barred some pregnant women from accepting and honouring referrals. Second, socio-economic status significantly influenced community health worker’s decision of who should be referred for secondary care and to a large extent who honours referral. Respondents in the higher wealth quintile were more likely to be referred and honoured as compared to those in the lowest quintile. Obstetric referrals were found to be low in the Amansie West district, with only 21.7 % of the women interviewed ever being referred to the next level of care.

Patients’ perception of their disease conditions influenced their willingness to accept referral to the next level of care in this study. The most cited disease condition was oedema followed by cough and malaria. Malaria was however the leading cause of OPD attendance in the district in 2013 [16]. In a similar vein, most of the women indicated that they were referred to the next level of care for conditions other than malaria. The district has only one (1) district hospital and six (6) health centres. The health centres are however not well equipped and the chances are that they may make unnecessary referrals.

Transportation is an important factor in healthcare delivery, especially in cases of emergency. Rural and remote regions in developing countries have limited access to regular and suitable transport, making physical access to specialized healthcare difficult or impossible in some cases. Many developing countries’ studies, identified transport cost, availability of transport and travel time as strong correlates of health care utilization [19, 20]. Rural dwellers often have greater distances to cover in order to reach health care services [21] and transport costs are relatively higher [19]. Under the current CHPS strategy in Ghana, transportation is paramount since the services provided at the CHPS zones are basically preventive and there is the need to ensure reliable means for referrals.

In this study, access to reliable transportation appeared to be an issue for most of the women. Although majority indicated that transport services were available, most of these were commercial vehicles and only a few had access to ambulances during emergencies. Arranging for transport could take about 30 min to an hour for some of the respondents. This finding is parallel with previous evidence where participants narrated their difficulties in having access to transportation and in some instances, were forced to deliver at home [22, 23]. This has been cited as a drawback of the CHPS strategy; failing to take into consideration all the important aspects of health delivery and most importantly making provision for effective referrals. For this reason, some patients are forced to refuse referrals to the next level of care, which is very characteristic of a health care with weak ambulatory system. The Amansie west district has very poor road network in most parts of the district such that when distances to facilities are even short, vehicles would not like to ply those roads.

The role of socio-economic disparities in health care in limited resource settings has long been confirmed through research. Investigating into the socio-economic differences in different aspects of health delivery is important to ensure equitable distribution of healthcare to all people. This study found that wealth status could have influence on who is being referred to the next level of care and whether the referred patient will honour such referrals. The distribution of respondents according to wealth quintiles was quite uniform in this study and majority of the women rated themselves as moderately rich. As compared to women in the lowest wealth quintile, belonging to the second and fourth wealth quintiles significantly increased the likelihood of being referred to the next level of care.

As suggested in previous studies, this could be explained that women with high socio-economic status tend to be more knowledgeable about their illness, have greater expectations of the level of care and could better negotiate with their primary care physician to maximize their referral and access the next level of care [9]. From another viewpoint,, community healthcare workers refer mothers they believe have the financial resources to make it to the secondary level, putting those in the lowest wealth quintile at a disadvantage. Studies from other settings have also reported physicians’ lack of motivation to refer patients who are not on medical insurance, with the belief that they could not afford cost of care at the next level [10, 11]. This is however, discriminatory and should be discouraged by addressing the structural problems of road network and ambulatory system. It is expensive in terms of transportation and cost of healthcare to be referred to the next level and those in the high wealth quintiles honoured obstetric referrals because they had the means to [9]. As put forward by Buor [19], the use of health services depends on one’s ability to pay. Low incomes had been captured as a barrier to seeking healthcare and can create a devastating financial burden for some people [24], especially in a setting with inequitable access to healthcare. A lack of finance could therefore have adverse effect on health care seeking [25, 26]. That is although the willingness to pay for services might exist [27], the means to do so, may not. On the other hand, Chan [8], found physician referrals to be higher among low socio-economic status individuals and this they explained that this group of patients were likely to have more illness.

The age, educational, employment, length of stay in community being an active member of NHIS appeared not to be important in health workers decision to refer patients to the next level. The implications for these in the attainment of maternal health targets could be devastating. Probably implementing pro-distance and referral intervention health care delivery strategy could be helpful.

Limitations of the study

The choice of cross-sectional study design could not permit us to make direct inferences on the relationship between maternal referrals and the covariates studied. This study might also have suffered some recall bias in responses from participants. We however believed that this was not much and could not affect the findings and conclusions of the study, since most of the questions pertained to their recently past pregnancies.

Conclusions

Incentives to yield to obstetric referrals to the next level in deprived areas were found to depend on health staff’s decision as to who to refer, clients’ perception about severity of health condition, availability of transportation and high-income level of the client. The absence of these are disincentives to honour obstetric referrals to the next level in a setting with inequitable access to healthcare. Implementing social interventions and improving ambulatory system could improve the situation and help attain maternal health targets in deprived areas. The health centres are faced with logistical constraints and are unable to manage primary health conditions. The CHPS compounds, CHCs, community clinics and maternity homes must therefore be well equipped to offer the requisite primary health care for pregnant women and refer to the district hospital only when appropriate.

Declarations

Acknowledgements

We wish to acknowledge the support of all pregnant mothers, health staff and research assistants during the study. The authors extend special appreciation to the District Director of Health Services and health staff, Amansie West district, and all staff of School of Public Health, KNUST, for their support and encouragement during the study.

Authors’ contributions

PA-B, GBN, KA-D, KAM, and DD contributed to the conceptualization, design and implementation of study and preparation of the manuscript. Data analysis was led by DB and reviewed by GBN and PA-B. GBN, DB, and P.A.-B wrote the first draft. The draft manuscript was reviewed by KAM, DD and KA-D. All authors read and approved the manuscript for publication.

Competing interests

The author(s) declare that they have no competing interests.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
School of Public Health, Kwame Nkrumah University of Science and Technology
(2)
Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht
(3)
Amansie West District Health Directorate, Ghana Health Service
(4)
Ghana Health Service

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Copyright

© The Author(s). 2016