World Rural Health Conference
Home Print this page Email this page Small font size Default font size Increase font size
Users Online: 2492
Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 


 
 Table of Contents 
ORIGINAL ARTICLE
Year : 2019  |  Volume : 8  |  Issue : 9  |  Page : 2814-2819  

Study of maternal outcome in referral obstetric cases in a tertiary care centre


Department of Obstetrics and Gynaecology, Umed Hospital, Dr S. N. Medical College, Jodhpur, Rajasthan, India

Date of Submission16-May-2019
Date of Decision16-May-2019
Date of Acceptance10-Jun-2019
Date of Web Publication30-Sep-2019

Correspondence Address:
Dr. Rekha Jakhar
House No. E-22/13, Umed Hospital Campus, Geeta Bhawan Road, Jodhpur - 342 001, Rajasthan
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfmpc.jfmpc_402_19

Rights and Permissions
  Abstract 


Introduction: To identify the pattern of Obstetric referral to our hospital and the primary reasons for referral, so as to implement measures to reduce unnecessary referrals and to reduce maternal mortality and morbidity. Method: All the referred cases for obstetrics indications above 20 weeks were analysed for cause of referral, their condition and outcome for a period of 6 months from January 2016 to June 2016. Results: According to our study out of a total of 10172 delivered patients, 1014 (9.96%) cases were referred patients. Maximum cases i.e. 713 (70. 3%) were in the age group of 21-30. Most of the cases 678 (66.86%) did not receive any treatment at referral hospital before being referred. Only 27.52% patients were referred with referral slips/chit etc., having adequate information and 40.24% of cases were delayed referrals. 183 (18.04%) patients required intensive care unit admission. Conclusion: The present study showed that illiteracy and ignorance of female regarding healthcare requirements and poor infrastructure came out to be a major contributor of poor pregnancy outcome. Timely referral is crucial for a satisfactory maternal and fetal outcome. To reduce the number of unnecessary referrals and to reduce burden on tertiary care hospitals, health care workers should be trained in essential and emergency obstetric care which will help in reducing morbidity and mortality.

Keywords: Ante-natal check-up, fetal mortality, maternal mortality, referral


How to cite this article:
Jakhar R, Choudhary A. Study of maternal outcome in referral obstetric cases in a tertiary care centre. J Family Med Prim Care 2019;8:2814-9

How to cite this URL:
Jakhar R, Choudhary A. Study of maternal outcome in referral obstetric cases in a tertiary care centre. J Family Med Prim Care [serial online] 2019 [cited 2019 Oct 14];8:2814-9. Available from: http://www.jfmpc.com/text.asp?2019/8/9/2814/268021




  Introduction Top


Women die every year in India [1],[2] which contribute 20-25% of all maternal deaths in the world.[3] One estimate shows that with one maternal death, 15% pregnancies develop complication which necessitates tertiary obstetric care [3] and the vast majority of maternal deaths and injuries are avoidable when women have access to health care before, during and after childbirth Of course there is improvement in maternal and child healthcare after the millennium declaration 2000, but there are lacuna across different states, Kerala being the most outstanding and Uttar Pradesh the worst performer.[4],[5]

Pregnancy and child birth, though physiological processes, are not free of risks. Despite continuous efforts by government and non-government organizations to cut down maternal mortality and to improve health services, maternal mortality is still high in most of the developing countries. The factors influencing good or adverse maternal outcome include the place of residence, socio-economic status, level of education especially in females, and other social and cultural factors. India has one of the highest maternal mortality in the world. According to National health survey (NFHS2/3) report about 1 to 1.2 lacs. After the implementation of 'Janani Suraksha Yojana', there is a three-fold rise in institutional deliveries, but unfortunately maternal mortality rate (MMR) has not declined appreciably. The possible reason could be poor referral system in the state. The referral system is an essential component of district health systems. It is particularly important in pregnancy care and child birth for providing up antenatal and delivery care in first line facilities.

The government has introduced the referral system to improve the service delivery at tertiary level, reduce workload at tertiary health care facilities, allow maximal utilization of health care facilities, strengthen peripheral infrastructure, improve teaching standard and to promote research activities. The emergency admission to tertiary healthcare includes large number of patients referred from rural areas. The present study was carried out to evaluate the maternal and fetal outcomes of such cases.


  Methods Top


This study was done at Department of Obstetrics. and Gynaecology, Umaid Hospital, Dr. S N Medical College, Jodhpur. The study population consists of obstetrics referrals from periphery to our hospital for a duration of 6 months.

Inclusion criteria

All referred antenatal and intra-natal patients to our tertiary care institute of more than 20 weeks gestational age.

Exclusion criteria

Referred cases of less than 20 weeks booked gestation, post-partum referrals and gynaecological referrals.


  Methodology Top


Detail history and relevant investigated were done i.e. complete physical and obstetric examination, basic investigations like complete blood counts (CBC), blood grouping, obstetric ultrasound, case specific investigations carried out as mandated by clinical condition of the patient. Management of the patients was documented, whether conservative or interventional. Mode of delivery was noted down, vaginal or operative. The method of transportation and accompanying staff was also noted. The neonatal outcome was documented as: term/preterm, live/still birth, birth weight, stay in neonatal intensive care unit (NICU).

Thorough study of previous check-up and case sheets was done if available with the patient or relative. Maternal outcome in the form of maternal morbidity and mortality were noted.


  Results Top


This was an observational study of 1014 referred cases as per inclusion criteria during six month period from the teaching hospital attached to Dr. S.N. Medical College, Jodhpur, namely Umaid Hospital, Jodhpur. According to our study, out of a total of 10,172 delivered patients, 1,014 (9.96%) cases were referred as shown in [Pie diagram 1].



In this study, maximum no. 713 (70. 3%) cases of referred patients were in the age group of 21-30 years as shown in [Table 1] because maximum pregnancies occurs between 21-30 years of age group in our country due to early marriages. The majority of the cases were either illiterate (34.52%) or poorly literate (47.24%) i.e. up to primary education. Only (18.24%) % cases were educated up to secondary, higher secondary or college standard [Table 2].
Table 1: Distribution of cases according to age

Click here to view
Table 2: Distribution of cases according to Educational status

Click here to view


Majority of cases were referred from CHC i.e. 637 (62.84%) cases, 230 (22.68%) cases were referred from DH, 111 (10.94%) from PHC's, 27 (2.66%), from sub-centre and only a few (0.88%) cases from private hospital and clinics [Table 3].
Table 3: Distribution of cases according to referral centres

Click here to view


The [Table 4] shows that out of 1,014, 408 cases came late to our centre because of some reasons like delay in getting transport facility in 21.50% cases, delay in decision by relatives in 9.86% cases and in 8.88% cases the economic constraints i.e. arrangement of money was the issue.
Table 4: Reasons for delay

Click here to view


The referral causes are listed in [Table 5]. In the present study, majority of patients were referred for labour pain and for better management of active labour 368 (36.29%), previous caesarean section 116 (11.44%), hypertensive disorder of pregnancy 74 (7.30%), antipartum hemorrhage (APH) 66 (6.51%) and anemia 87 (8.58%). Other common causes were obstructed labour, failed progress, mal presentation, cephalo-pelvic disproportion (CPD), premature repture of membrane (PROM), intrauterine death (IUD), post term, fetal distress, hand prolapsed, twins, pre term, intrauterine growth retardation (IUGR), respiratory distress, SLOC, human immunodeficiency virus (HIV) infection, heart disease, rupture uterus and no cause mentioned in 63 (6.21%) cases.
Table 5: Causes for referral

Click here to view


The various causes of maternal morbidities are depicted in [Table 6]. Most common cause of maternal morbidity was anemia in 188 cases (51.09%) followed by postpartum haemorrhage (PPH) which was seen in 67 (18.20%) and vaginal wall tear was seen in58 (15.77%) cases. There were 9 maternal mortalities as shown in [Table 7]. 3 maternal deaths were due to IHS + PPH + DIC (disseminated intravascular coagulation). Sec. PPH + DIC + Shock caused 2 deaths. 9 patients were referred from our hospital to other specialties like medicine for further management.
Table 6: Cause of post-partum maternal morbidity (n=368)

Click here to view
Table 7: Cause of maternal mortality (n=9)

Click here to view


The overall maternal outcome is depicted in [Table 8]. Majority of patients (98.34%) included in the study were discharged. There were 9 maternal mortalities and 8 patients were transferred from our department to other specialities for further management of respective complications.
Table 8: Distribution of cases according to maternal outcome

Click here to view



  Discussion Top


The study includes 1,014 cases of obstetric referral during a duration of six month. There were 10,172 total deliveries during this period.

The percentage of referred cases (pie diagram), in our study is 9.96, which is lower than other studies like study done by Gupta et al.,[6] in 2016 showed 15.37% of obstetric referrals. Similarly, study by Sable and Patankar [7] in 2015, Pandya and Patel [8] in PHC's of Gujarat and Sharma [9] at Indore (2007) reported referral rate of 17.83%, 15.2% and 14.02%.

Referred cases in various age groups

In the present study, most of the patients were in the age groups of 21-30 years, similar to study by Devneni and Sodumu,[10] where 73% of patients were in this age group. Study by Pandya and Patel [8] (2015) reported that 64% referred cases belonged to age group of 21-30 years, which is also comparable to our study. Gupta et al.[6] (2016) reported that 86.98% of referred cases were in this age group, much higher than our study, because maximum pregnancy occurs between 21-30 years of age group in our country, due to trend of early marriages, we get maximum referral cases in this group.

Educational status

Education is the key for the success of health programs. In our study majority of the cases were either poorly literate (47.24%) or illiterate (34.52%). Only 18.24% cases were educated up to secondary, higher secondary or college standard. These data are comparable to the study of Devneni and Sodumu,[10] which showed 40% of referred cases were illiterate. Thaker and Jadav,[11] showed 34.7% of cases illiterate in unregistered group in their study and Sharma [9] (2007), who reported that 77% of referred cases were illiterate and only 6% were educated to secondary education or more. This results in ignorance of utilization of medical facilities. The educational and socio-economic status of women is significant for the utilization of maternal health services as education plays an important role in health seeking behaviour.

It shows that in our country even after more than 70 years of independence we are not that much successful to provide education to females as is the requirement of the time. Ultimately, female education in a community also reflects health status and economic condition of the family, so female education is a great empowerment for reducing early marriages, high birth order and repeated pregnancies, and increasing the utilization of health care services for antenatal check-up, institutional deliveries and postpartum care with family planning.

Referring centres

Majority of cases were referred from CHCs (51.7%), next from District hospitals (22.68%), PHCs (10.94%), Sub centres 27 (2.66%) and only 9 cases (0.88%) were referred from private hospitals and clinics. Study by Sable and Patankar [7] showed that 15.79% were referred from PHCs, 42.37% from DHs, 34.74% from referral hospitals and 2.63% from ESI (employee's state insurance) hospital. Study by Panchal and Patel [12] et al., (2015) showed 61% referred from PHCs and CHCs, and 33% from private hospitals.

The reason for referral includes non-availability of obstetrician, anaesthetist, paediatrician, and lack of facilities to do caesarean section, lack of blood bank services, trained staff and equipments to manage obstetric emergencies.

Thus, it increases the referral and burden on tertiary centres and lowers their quality of health services. So proper equipment and manpower strengthening of existing first referral units (FRUs) is necessary to provide better services.

Causes of delayed referral

Our study reported that out of 1014, 408 (40.24%) cases came late to our centre because of some reasons like delay in getting transport facility in 21.50% cases, delay in decision by relatives in 9.86% cases and in 8.88% cases arrangement of money was the issue. The percentage of cases with delayed referral in our study was quite high as compare to the study of Gupta [4] et al., who reported that 76% of cases reached within 8 hours of reference and only 5.58% were delayed referrals (more than 12 hours). Time interval of reference and reporting depends not only on availability of transport system and distance between the referral and tertiary health care centre but also on patients and her relative's attitude, awareness and socio-economic status and that affects directly feto-maternal outcome.

Referral causes

In the present study, majority of patients were referred for labour pain and for better management of active labour, 368 (36.29%), previous caesarean section 116 (11.44%), hypertensive disorders of pregnancy 74 (7.30%), APH 66 (6.51%) and anemia (8.58%). Other common causes were obstructed labour, mal-presentations, CPD, PPH, PROM, fetal distress and preterm labour pain which shows negligence or inability of the health care providers at referring health centres in proper evaluation of patients. Gupta et al.[6] reported that majority of cases were referred for anemia (18.05%), hypertensive disorders of pregnancy (22.27%) and mal-presentations (15.19%).

Panchal and Patel [12] reported that the common causes of referral were anemia (15%) and hypertensive disorders of pregnancy (15%). Other causes were pregnancy with previous caesarean section (12%), APH (6%), mal-presentations (4%) and obstructed labour (4%).

Management of complications

In this study, out of all 1,014 cases, there were 183 (5.3%) ICU admissions. Out of 183 ICU admissions, there were 38 (20.77%) cases of ante-partum ecclampsia (APE), 67 (36.61%) cases of PPH, 19 (10.39%) cases of APH, 46 (25.13%) cases of S. PreEclampsia, 2 case for respiratory distress and 11 cases of exploratory laparotomy was done in our hospital for atonic PPH and rupture of uterus and 6 patients underwent hysterectomy and 8 patients were transferred from our department to other specialities for further management of complications.

In our study, the important causes of maternal morbidity were anaemia (51.09%), post-partum ecclampsia (3.27%), PPH (18.20%) and infection (4.07%) i.e. wound infection, sepsis and lower respiratory infections; and APE (20.77%) whereas study by Goswami and Makhija [13] showed that 12.34% of referred patients required a ICU admissions with an average stay of 4.26 days. Charu et al.[14] in their study reported ICU care in 8% cases, which is much higher than our study. However, the ICU admission rate in our study was higher than that of Sailaja [15] Pollock [16] and Harde.[17] These differences could be ascribed to differences in demographics in different regions.[5]

All critically ill obstetric patients require a multidisciplinary team approach with good intensive care monitoring and facilities for further interventions if required, so they were referred here for further better management. The morbidity was higher in referred patients because most of these patients were admitted late in labour, after prolonged duration of ruptured membranes, anaemic, infected, exhausted, dehydrated and either handled or delivered by untrained personnel in the periphery. These morbidities are avoidable by providing adequate and proper antenatal and intra-natal care and providing adequate trained health personnel in the rural areas who can promptly identify or foresee complications and timely refer them for tertiary level intervention.

Causes of maternal mortalities

In this study, there were 9 maternal deaths – which is quite lower than other studies and were due to IHS + PPH + DIC in 3 cases (33.33%), secondary PPH + DIC + Shock in 2 cases (22.22%), cerebrovascular accident (CVA) +IHS, DIC+ Shock+ APH, PPS+ MODS, Traumatic PPH+ Shock in 1 case (5.88%) each, respectively. The most important cause was haemorrhagic shock due to PPH. In these cases, the associated factors were septicaemia, DIC and severe anaemia.

Gupta et al.[6] reported 40 (2.72%) of mortalities in their study and common causes of mortality were hypertensive disorder (35%), severe anaemia (20%), haemorrhage (20%) sepsis (10%) and medical disorders like malaria and hepatitis. In the study by Sharma,[7] the most common causes of maternal deaths were ecclampsia, hemorrhagic shock and congestive cardiac failure (CCF) due to severe anaemia.

So the TBA (trained birth attendant) and volunteer health workers should be aware about the importance of haemoglobin status of a woman in pregnancy. Iron tablets must be given to all women during the pregnancy and even after delivery in lactating period, to make her a blood bank for herself, so that she could bear the blood loss of delivery and we could reduce the maternal mortalities due to PPH.


  Conclusion Top


Referral is a coordinated movement of healthcare seekers through the health system to reach a high level of care in a small and often fatal window of time. It involves factors like, decision to seek the healthcare and the perception of risk by the women herself and her family members, ease in reaching health facility, financial stability, identification of high risk factors by health personnel and timely decision about intervention and referral.

In our study, majority of referral were from rural areas (83.93%) and illiterate or poorly literate (81.76%) and most of them have a poor knowledge of existing antenatal services in the rural areas. Illiteracy and ignorance of female regarding healthcare requirements and unavailability of proper healthcare facilities in the reason came out to be a major contributor of poor pregnancy outcome.

In order to decrease the number of unnecessary referrals and to reduce burden on tertiary care hospitals, healthcare workers should be trained in essential and emergency obstetric care which will help in reducing morbidity and mortality.

In the present study, 40% cases had delayed referral. Timely referral is crucial for a satisfactory maternal and fetal outcome. All peripheral health sectors should be well equipped with vehicles on road transport facility.

Lack of blood bank facility is another hurdle in ensuring a satisfactory maternal outcome. We must give emphasis on correction of anaemia in ANC care, so that the woman can bear the loss during delivery. This can be achieved by measures like iron supplementation to adolescent girls, early ANC registration of pregnant women, deworming and educating women about contraception and birth spacing.

For women empowerment and their better status, we need to change the mind-set of society. Economic independence will increase her decision making power and enhance her position in household. This will also help her to interact with the outside world and be aware of services available to them.

Improving female education, health education and awareness at community level by mass media and non-government organizations can improve the health and social status of women in rural areas.

Every woman has right to get good quality healthcare and now it is high time to update our practice of maternal and child health (MCH) care services, because there was a challenge of Millennium development by 2015, which still remains a challenge.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
  References Top

1.
National Family Health Survey (NFHS-2) 1998-99. vol. 196. Bombay: International Institute of Population Services; 2000. p. 247-51.  Back to cited text no. 1
    
2.
National Family Health Survey (NFHS-3) 2005-2006. vol. 196. Bombay: International Institute of Population Services; 2006. p. 247-51.  Back to cited text no. 2
    
3.
Pal A, Ray P, Hazra S, Mondal TK. Review of changing trends in maternal mortality in a rural medical college in West Bengal. J Obstet Gynecol India 2005;55:521-4.  Back to cited text no. 3
    
4.
Mohapatra A, Gomare M. A critical appraisal of the maternal and child health scenario in a metropolitan city in India with reference to achievements of millennium development goals. J Family Med Prim Care 2019;8:995-1001.  Back to cited text no. 4
[PUBMED]  [Full text]  
5.
Selected socioeconomic statics of India 2017. 2017. Available from: www.mospi.guv in sept.  Back to cited text no. 5
    
6.
Gupta PR, Chaudhari SN, Gonnade NV. Maternal and fetal outcome in referred patients to tertiary care center. Sch J App Med Sci 2016;4:1624-31.  Back to cited text no. 6
    
7.
Sabale U, Patankar MA. Study of maternal and perinatal outcome in referred obstetrics cases. J Evol Med Dent Sci 2015;44448-55.  Back to cited text no. 7
    
8.
Patel RV, Pandya VM, Patel DB, Shah HD. Multiparametric study of obstetric and gynaecological emergency cases referred to a tertiary care centre. Indian J Med Res Pharm Sci 2015;2:14-20.  Back to cited text no. 8
    
9.
Sharma S. Evaluation of referred obstetric cases. A thesis submitted to the devi ahilya vishwavidyalaya, Indore as partial fulfillment for the degree of M.S. (Obstetrics and Gynaecology) 2007.  Back to cited text no. 9
    
10.
Devineni K, Sodumu N. A study of spectrum of referral pattern at a tertiary teaching hospital towards better obstetric care. IAIM 2016;3:193-8.  Back to cited text no. 10
    
11.
Thaker R, Deliwala K, Jadav MM. Retrospective comparative study of obstetric complications and maternal mortality in registered and unregistered women at tertiary care hospital. NHL J Med Sci 2013;2:28-35.  Back to cited text no. 11
    
12.
Panchal V, Patel S. Study of maternal and fetal outcome of patients referred in third trimester of pregnancy at tertiary care hospital. Sch J App Sci 2015;3:2449-52.  Back to cited text no. 12
    
13.
Goswami D, Makhija A. A study of high risk obstretic referrals to tertiary care hospital in Garhwal, Uttarakhand. IJSR2015;4:1091-3.  Back to cited text no. 13
    
14.
Charu R, Gajria K, Soni N. Review of referred obstetriccases maternal and perinatal outcome. Bombay Hospital J 2010;52:1091-3.  Back to cited text no. 14
    
15.
Sailaja B, Renuka MK. Critically Ill obstetric admissions to an intensive care unit: A Prospective analysis from a tertiary care university hospital in South India. Indian J Crit Care Med 2019;23:78-82.  Back to cited text no. 15
    
16.
Pollock W, Rose L, Dennis CL. Pregnant and postpartum admissions to the intensive care unit: A systematic review. Intensive Care Med 2010;36:1465-74.  Back to cited text no. 16
    
17.
Harde M, Dave S, Wagh S, Gujjar P, Bhadade R, Bapat A. Prospective evaluation of maternal morbidity and mortality in post-cesarean section patients admitted to postanesthesia intensive care unit. J Anaesthesiol Clin Pharmacol 2014;30:508-13.  Back to cited text no. 17
[PUBMED]  [Full text]  



 
 
    Tables

  [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7], [Table 8]



 

Top
   
 
  Search
 
Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Access Statistics
Email Alert *
Add to My List *
* Registration required (free)

 
  In this article
   Abstract
  Introduction
  Methods
  Methodology
  Results
  Discussion
  Conclusion
   References
   Article Tables

 Article Access Statistics
    Viewed69    
    Printed0    
    Emailed0    
    PDF Downloaded23    
    Comments [Add]    

Recommend this journal