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RANDOM CONTROL
     TRIAL




                 1
Presented by:
• Deepika Gaire
• Kalpana Gurung
• Susmita Gurung
• SAgun PAudel
Student of BPH @LA GRANDEE
international college Pokhara

                                2
Randomized control trial(RCT)
 A randomized controlled trial (RCT) is a type
  of scientific experiment - a form of clinical
  trial.
 The RCT is one of the simplest but most
  powerful tools of research. Randomized control
  trial is a study in which people are allocated at
  random to receive several clinical intervention.
  RCT seeks to measure and compare the
  outcomes after the participants receive the
                                                      3
  interventions.
4
Types of RCT
One way to classify RCTs is by study design. From
most to least common in the medical literature, the
major categories of RCT study designs are:

• Parallel-group – each participant is randomly
assigned to a group, and all the participants in the
group receive (or do not receive) an intervention.

• Crossover – over time, each participant receives
(or does not receive) an intervention in a random
                                                       5
sequence.
Contd..
• Split-body – separate parts of the body of
each participant (e.g., the left and right
sides of the face) are randomized to
receive (or not receive) an intervention.

• Cluster – pre-existing groups of
participants (e.g., villages, schools) are
randomly selected to receive (or not           6

receive) an intervention.
Effect of a participatory intervention
        with women’s groups
on birth outcomes in Nepal: cluster-
       randomised controlled
                  trial
                                         7
AUTHOR
Dharma S Manandhar, David Osrin, Bhim Prasad
Shrestha, Natasha Mesko, Joanna Morrison, Kirti
Man Tumbahangphe, Suresh Tamang,
Sushma Thapa, Dej Shrestha, Bidur Thapa, Jyoti
Raj Shrestha, Angie Wade, Josephine Borghi,
Hilary Standing, Madan Manandhar,
Anthony M de L Costello, and members of the
MIRA Makwanpur trial team

                                                  8
ABSTRACT
Background :
• Neonatal deaths in developing countries
  make the largest contribution to global
  mortality in children younger than 5
  years. 90% of deliveries in the poorest
  quintile of households happen at home.
• We postulated that a community-based
  participatory intervention could
  significantly reduce neonatal mortality   9

  rates.
Method
 We pair-matched 42 geopolitical clusters in
  Makwanpur district, Nepal, selected 12 pairs
  randomly, and randomly assigned one of each pair to
  intervention or control. In each intervention cluster
  (average population 7000), a female facilitator
  convened nine women’s group meetings every
  month.

 Other outcomes included stillbirths and maternal
  deaths, uptake of antenatal and delivery services,
  home care practices, infant morbidity, and health-      10

  care seeking. Analysis was by intention to treat.
Findings


 From 2001 to 2003, the neonatal mortality rate
  was 26·2 per 1000 (76 deaths per 2899 livebirths)
  in intervention clusters compared with 36·9 per
  1000 (119 deaths per 3226 livebirths) in controls
  (adjusted odds ratio 0·70 [95% CI 0·53–0·94]).



                                                      11
 Stillbirth rates were similar in both groups.
  The maternal mortality ratio was 69 per 100
  000 (two deaths per 2899 livebirths) in
  intervention clusters compared with 341 per
  100 000 (11 deaths per 3226 livebirths) in
  control clusters.

 Women in intervention clusters were more
  likely to have antenatal care, institutional
  delivery, trained birth attendance, and
                                                  12
  hygienic care than were controls.
Interpretation

Birth outcomes in a poor rural
 population improved greatly through a
 low cost, potentially sustainable and
 scalable, participatory intervention
 with women’s groups.


                                         13
INTRODUCTION
 Of the world’s 4 million annual neonatal
  deaths, 98% occur in developing countries.

 Most perinatal and neonatal deaths happen
 at home, and many could be avoided with
 changes in antenatal, delivery, and newborn
 care practices.
                                               14
Contd..
• However, primary and secondary health-care
  systems have difficulties in reaching poor
  rural residents, and a potentially effective
  perinatal health strategy must recognise this
  reality.


• In Makwanpur district, Nepal, for example,
  90% of women give birth at home, and trained
  attendance at delivery is uncommon.             15
 It postulated that a community-based
  participatory intervention could reduce the
  neonatal mortality rate from 60 to 40 per 1000
  livebirths.

 The trial tested a large-scale intervention, using
  facilitators to work with women’s groups in a
  population of 170 000 covering 1600 km2 .

 A cluster design was chosen because the
  intervention was structured around                   16

  communities rather than individuals.
METHODS
STUDY LOCATION AND POPULATION
Makwanpur district lies in Nepal’s central
 region where the middle hills join the
 plains. The population of about 400 000.

The district hospital in the municipality of
 Hetauda has facilities for antenatal care
 and delivery, although operative delivery
                                                17
 was not available during the study period.
18
Contd..
 There are 7852 people per hospital bed 24.
  The district health system makes perinatal
  care available through a network of primary
  health centres, health posts, subhealth posts,
  and outreach clinics.

 Traditional birth attendants are available
  throughout the district, but their attendance at
  births is less common than in some other parts
                                                     19
  of south Asia.
 We selected the village development committee
  as the cluster unit of randomisation because it is
  a standard geopolitical unit, and discussions
  with local people suggested that randomisation
  of smaller units would increase the risk of
  contamination.

 All 43 village development committees in
  Makwanpur district were eligible for
  randomisation, of which one was excluded at
  Baseline for security reasons.
                                                       20
 We enrolled a closed cohort of married
  women of reproductive age. Inclusion criteria
  were: consent given for involvement; age 15–
  49 years inclusive on June 15, 2000; married;
  and potential to become pregnant.

 Exclusion criteria included long-term
 separation from spouse and widowhood.
 Women who chose to participate in the study
 gave verbal consent and were free to decline
 to be interviewed at any time.                   21
22
PROCUDRE
 We matched 42 village development
  committees into 21 pairs.

 We used a list of random numbers to select
  12 pairs. These 24 village development
  committees formed the study clusters. We
  randomly allocated one cluster in each pair
  to either intervention or control on the
                                                23
  basis of a coin toss
Contd..
 Surveillance began in February, 2001, and
  involved 28 931 participants in 28 376
  households.

 The strategy we used was adapted from one
  used by the Nepal Nutrition Intervention
  Project, Sarlahi.

 It entailed 255 ward enumerators, 25 field   24

  interviewers, and nine field coordinators.
25
RESULTS

 All 24 clusters selected for inclusion received
  their allocated intervention. Between Nov 1,
  2001, and Oct 31, 2003, 3190 pregnancies
  happened in intervention clusters and 3524
  in controls.



                                                    26
• Presumptive miscarriage rates were 2·3%
  (73/3190) in intervention clusters and 2·2%
  (77/3524) in control clusters.

• Loss to pregnancy follow-up as a result of
 migration, withdrawal of consent, or
 incompleteness of surveillance data was
 5·4% (172/3190) in intervention clusters and
 5·0% (176/3524) in control clusters. 2972
 births (including 54 twins) were available for
 analysis in intervention clusters and 3303       27
 (including 66 twins) in control clusters.
28
Contd..

 In 11 cluster pairs, neonatal mortality rates
 were lower in the intervention group. The
 pooled rate in the intervention group was
 nearly 30% lower than in the control group .



                                                  29
 Rates of maternal morbidity were similar, but
  women in intervention clusters were more likely
  than those in control clusters to have visited a health
  facility in the event of illness.



 The most usual causes of neonatal death were
  complications of preterm birth, presumptive birth
  asphyxia, and infection. The pattern of causes did
  not differ between groups, but we noted that              30
  infection related deaths were less frequent in
  intervention clusters
DISCUSSION
 We have shown that an intervention in rural
  Nepal, entailing women’s groups convened by
  a local woman facilitator, reduced neonatal
  mortality by 30%.

 Maternal mortality, although not a primary
 outcome of the trial, was also significantly
 lower in intervention areas. The intervention
 seemed to bring about changes in home-care
                                                 31
 practices and health-care seeking for both
 neonatal and maternal morbidity.
Contd..
Two key elements distinguished our approach from
conventional health education.
 First, women’s groups looked at demand-side and
 supply-side issues. Second, the approach emphasised
 participatory learning rather than instruction.

 The women’s group strategies—the picture card
  game, health funds, stretcher schemes, production
  and distribution of clean delivery kits, and home
  visits—also entailed interaction outside the groups,
                                                         32
  which increased awareness of perinatal issues.
Contd..
 This finding lends support to the noted rises in
  antenatal care, trained birth attendance, clean
  delivery kit use, hand washing by birth
  attendants, and care seeking in the event of
  neonatal morbidity.

 The effect of the intervention on maternal
  mortality was surprising in view of the size
  and power of the study and obviously needs         33
  replication.
Suggestion
 Our findings suggest that a demand-side
  intervention can achieve great reductions
  in neonatal and maternal mortality in poor
  and remote communities.

 The approach—a local woman facilitating
  women’s groups—is potentially
  acceptable, scalable, sustainable, and cost
                                                34
  effective as a public-health intervention.
Contd..
 Assessment of demand-side interventions
  needs greater attention in primary care.

 Studies are needed to assess how we can
  replicate the approach in different settings,
  as are large trials to examine effects on
  maternal morbidity and mortality.
                                                  35
REFERENCE
1 Saving newborn lives. State of the world’s
newborns. Washington,DC: Save the Children,
2001.
2 Paul V. Newborn care in India: a promising
beginning, but a long way to go. Semin Neonatol
1999; 4: 141–49.
3 WHO. Essential newborn care: report of a
technical working group (Trieste, April 25–29,
1994). Geneva: World Health Organization,
Division of Reproductive Health (Technical        36

Support), 1996.
37

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randomised control trial

  • 1. RANDOM CONTROL TRIAL 1
  • 2. Presented by: • Deepika Gaire • Kalpana Gurung • Susmita Gurung • SAgun PAudel Student of BPH @LA GRANDEE international college Pokhara 2
  • 3. Randomized control trial(RCT)  A randomized controlled trial (RCT) is a type of scientific experiment - a form of clinical trial.  The RCT is one of the simplest but most powerful tools of research. Randomized control trial is a study in which people are allocated at random to receive several clinical intervention. RCT seeks to measure and compare the outcomes after the participants receive the 3 interventions.
  • 4. 4
  • 5. Types of RCT One way to classify RCTs is by study design. From most to least common in the medical literature, the major categories of RCT study designs are: • Parallel-group – each participant is randomly assigned to a group, and all the participants in the group receive (or do not receive) an intervention. • Crossover – over time, each participant receives (or does not receive) an intervention in a random 5 sequence.
  • 6. Contd.. • Split-body – separate parts of the body of each participant (e.g., the left and right sides of the face) are randomized to receive (or not receive) an intervention. • Cluster – pre-existing groups of participants (e.g., villages, schools) are randomly selected to receive (or not 6 receive) an intervention.
  • 7. Effect of a participatory intervention with women’s groups on birth outcomes in Nepal: cluster- randomised controlled trial 7
  • 8. AUTHOR Dharma S Manandhar, David Osrin, Bhim Prasad Shrestha, Natasha Mesko, Joanna Morrison, Kirti Man Tumbahangphe, Suresh Tamang, Sushma Thapa, Dej Shrestha, Bidur Thapa, Jyoti Raj Shrestha, Angie Wade, Josephine Borghi, Hilary Standing, Madan Manandhar, Anthony M de L Costello, and members of the MIRA Makwanpur trial team 8
  • 9. ABSTRACT Background : • Neonatal deaths in developing countries make the largest contribution to global mortality in children younger than 5 years. 90% of deliveries in the poorest quintile of households happen at home. • We postulated that a community-based participatory intervention could significantly reduce neonatal mortality 9 rates.
  • 10. Method  We pair-matched 42 geopolitical clusters in Makwanpur district, Nepal, selected 12 pairs randomly, and randomly assigned one of each pair to intervention or control. In each intervention cluster (average population 7000), a female facilitator convened nine women’s group meetings every month.  Other outcomes included stillbirths and maternal deaths, uptake of antenatal and delivery services, home care practices, infant morbidity, and health- 10 care seeking. Analysis was by intention to treat.
  • 11. Findings  From 2001 to 2003, the neonatal mortality rate was 26·2 per 1000 (76 deaths per 2899 livebirths) in intervention clusters compared with 36·9 per 1000 (119 deaths per 3226 livebirths) in controls (adjusted odds ratio 0·70 [95% CI 0·53–0·94]). 11
  • 12.  Stillbirth rates were similar in both groups. The maternal mortality ratio was 69 per 100 000 (two deaths per 2899 livebirths) in intervention clusters compared with 341 per 100 000 (11 deaths per 3226 livebirths) in control clusters.  Women in intervention clusters were more likely to have antenatal care, institutional delivery, trained birth attendance, and 12 hygienic care than were controls.
  • 13. Interpretation Birth outcomes in a poor rural population improved greatly through a low cost, potentially sustainable and scalable, participatory intervention with women’s groups. 13
  • 14. INTRODUCTION  Of the world’s 4 million annual neonatal deaths, 98% occur in developing countries.  Most perinatal and neonatal deaths happen at home, and many could be avoided with changes in antenatal, delivery, and newborn care practices. 14
  • 15. Contd.. • However, primary and secondary health-care systems have difficulties in reaching poor rural residents, and a potentially effective perinatal health strategy must recognise this reality. • In Makwanpur district, Nepal, for example, 90% of women give birth at home, and trained attendance at delivery is uncommon. 15
  • 16.  It postulated that a community-based participatory intervention could reduce the neonatal mortality rate from 60 to 40 per 1000 livebirths.  The trial tested a large-scale intervention, using facilitators to work with women’s groups in a population of 170 000 covering 1600 km2 .  A cluster design was chosen because the intervention was structured around 16 communities rather than individuals.
  • 17. METHODS STUDY LOCATION AND POPULATION Makwanpur district lies in Nepal’s central region where the middle hills join the plains. The population of about 400 000. The district hospital in the municipality of Hetauda has facilities for antenatal care and delivery, although operative delivery 17 was not available during the study period.
  • 18. 18
  • 19. Contd..  There are 7852 people per hospital bed 24. The district health system makes perinatal care available through a network of primary health centres, health posts, subhealth posts, and outreach clinics.  Traditional birth attendants are available throughout the district, but their attendance at births is less common than in some other parts 19 of south Asia.
  • 20.  We selected the village development committee as the cluster unit of randomisation because it is a standard geopolitical unit, and discussions with local people suggested that randomisation of smaller units would increase the risk of contamination.  All 43 village development committees in Makwanpur district were eligible for randomisation, of which one was excluded at Baseline for security reasons. 20
  • 21.  We enrolled a closed cohort of married women of reproductive age. Inclusion criteria were: consent given for involvement; age 15– 49 years inclusive on June 15, 2000; married; and potential to become pregnant.  Exclusion criteria included long-term separation from spouse and widowhood. Women who chose to participate in the study gave verbal consent and were free to decline to be interviewed at any time. 21
  • 22. 22
  • 23. PROCUDRE  We matched 42 village development committees into 21 pairs.  We used a list of random numbers to select 12 pairs. These 24 village development committees formed the study clusters. We randomly allocated one cluster in each pair to either intervention or control on the 23 basis of a coin toss
  • 24. Contd..  Surveillance began in February, 2001, and involved 28 931 participants in 28 376 households.  The strategy we used was adapted from one used by the Nepal Nutrition Intervention Project, Sarlahi.  It entailed 255 ward enumerators, 25 field 24 interviewers, and nine field coordinators.
  • 25. 25
  • 26. RESULTS  All 24 clusters selected for inclusion received their allocated intervention. Between Nov 1, 2001, and Oct 31, 2003, 3190 pregnancies happened in intervention clusters and 3524 in controls. 26
  • 27. • Presumptive miscarriage rates were 2·3% (73/3190) in intervention clusters and 2·2% (77/3524) in control clusters. • Loss to pregnancy follow-up as a result of migration, withdrawal of consent, or incompleteness of surveillance data was 5·4% (172/3190) in intervention clusters and 5·0% (176/3524) in control clusters. 2972 births (including 54 twins) were available for analysis in intervention clusters and 3303 27 (including 66 twins) in control clusters.
  • 28. 28
  • 29. Contd..  In 11 cluster pairs, neonatal mortality rates were lower in the intervention group. The pooled rate in the intervention group was nearly 30% lower than in the control group . 29
  • 30.  Rates of maternal morbidity were similar, but women in intervention clusters were more likely than those in control clusters to have visited a health facility in the event of illness.  The most usual causes of neonatal death were complications of preterm birth, presumptive birth asphyxia, and infection. The pattern of causes did not differ between groups, but we noted that 30 infection related deaths were less frequent in intervention clusters
  • 31. DISCUSSION  We have shown that an intervention in rural Nepal, entailing women’s groups convened by a local woman facilitator, reduced neonatal mortality by 30%.  Maternal mortality, although not a primary outcome of the trial, was also significantly lower in intervention areas. The intervention seemed to bring about changes in home-care 31 practices and health-care seeking for both neonatal and maternal morbidity.
  • 32. Contd.. Two key elements distinguished our approach from conventional health education.  First, women’s groups looked at demand-side and supply-side issues. Second, the approach emphasised participatory learning rather than instruction.  The women’s group strategies—the picture card game, health funds, stretcher schemes, production and distribution of clean delivery kits, and home visits—also entailed interaction outside the groups, 32 which increased awareness of perinatal issues.
  • 33. Contd..  This finding lends support to the noted rises in antenatal care, trained birth attendance, clean delivery kit use, hand washing by birth attendants, and care seeking in the event of neonatal morbidity.  The effect of the intervention on maternal mortality was surprising in view of the size and power of the study and obviously needs 33 replication.
  • 34. Suggestion  Our findings suggest that a demand-side intervention can achieve great reductions in neonatal and maternal mortality in poor and remote communities.  The approach—a local woman facilitating women’s groups—is potentially acceptable, scalable, sustainable, and cost 34 effective as a public-health intervention.
  • 35. Contd..  Assessment of demand-side interventions needs greater attention in primary care.  Studies are needed to assess how we can replicate the approach in different settings, as are large trials to examine effects on maternal morbidity and mortality. 35
  • 36. REFERENCE 1 Saving newborn lives. State of the world’s newborns. Washington,DC: Save the Children, 2001. 2 Paul V. Newborn care in India: a promising beginning, but a long way to go. Semin Neonatol 1999; 4: 141–49. 3 WHO. Essential newborn care: report of a technical working group (Trieste, April 25–29, 1994). Geneva: World Health Organization, Division of Reproductive Health (Technical 36 Support), 1996.
  • 37. 37