Simplified Medical Abortion in Rural India View Homepage


Ontology type: schema:MedicalStudy     


Clinical Trial Info

YEARS

2013-2014

ABSTRACT

It is estimated that around 50 000 women die every year due to consequences of unsafe abortion (Singh et al, 2009). A majority of these deaths occur in low-income countries where access to safe abortion care is limited. Unplanned pregnancy and unsafe abortion thus place a huge burden on scarce medical resources. Any improvement in Comprehensive Abortion Care (CAC) would mean important improvements for the concerned women and their families (Singh, 2006) as well as for the societies at large. Recommended improvements concern increased access to the safest and most cost-effective methods such as medical abortion provided at primary level facilities (Singh et al, 2009). A Cochrane Review concludes that most randomised controlled trials within the field of medical abortion are conducted in high-income settings with good access to emergency health care services (Kulier et al, 2004). A simplified regime for medical abortion, which could be used at primary level facilities, would contribute to the reduction of maternal mortality and morbidity related to unsafe abortions globally. However, there is a knowledge gap in order to determine if a simplified follow up of medical abortion is equally effective as the standard procedure in a low-income setting. The results will provide evidence-based information to be used in revising training and service delivery guidelines' in order to reduce maternal mortality and morbidity in both low and high-income setting. More... »

URL

https://clinicaltrials.gov/show/NCT01827995

Related SciGraph Publications

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/3177", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "description": "It is estimated that around 50 000 women die every year due to consequences of unsafe abortion (Singh et al, 2009). A majority of these deaths occur in low-income countries where access to safe abortion care is limited. Unplanned pregnancy and unsafe abortion thus place a huge burden on scarce medical resources. Any improvement in Comprehensive Abortion Care (CAC) would mean important improvements for the concerned women and their families (Singh, 2006) as well as for the societies at large. Recommended improvements concern increased access to the safest and most cost-effective methods such as medical abortion provided at primary level facilities (Singh et al, 2009). A Cochrane Review concludes that most randomised controlled trials within the field of medical abortion are conducted in high-income settings with good access to emergency health care services (Kulier et al, 2004). A simplified regime for medical abortion, which could be used at primary level facilities, would contribute to the reduction of maternal mortality and morbidity related to unsafe abortions globally. However, there is a knowledge gap in order to determine if a simplified follow up of medical abortion is equally effective as the standard procedure in a low-income setting. The results will provide evidence-based information to be used in revising training and service delivery guidelines' in order to reduce maternal mortality and morbidity in both low and high-income setting.", 
    "endDate": "2014-06-01T00:00:00Z", 
    "id": "sg:clinicaltrial.NCT01827995", 
    "keywords": [
      "rural India", 
      "woman", 
      "consequence", 
      "unsafe", 
      "Singh", 
      "majority", 
      "death", 
      "low-income country", 
      "access", 
      "safe", 
      "unplanned pregnancy", 
      "huge burden", 
      "medical resource", 
      "improvement", 
      "care", 
      "important improvement", 
      "family", 
      "society", 
      "increased access", 
      "safest", 
      "cost-effective method", 
      "facility", 
      "Cochrane review", 
      "randomised controlled trial", 
      "high income", 
      "good access", 
      "health care service", 
      "regime", 
      "reduction", 
      "maternal mortality", 
      "morbidity", 
      "knowledge gap", 
      "standard procedure", 
      "low-income setting", 
      "evidence-based information", 
      "service delivery"
    ], 
    "name": "Simplified Medical Abortion in Rural India", 
    "sameAs": [
      "https://app.dimensions.ai/details/clinical_trial/NCT01827995"
    ], 
    "sdDataset": "clinical_trials", 
    "sdDatePublished": "2019-03-07T15:24", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "file:///pack/app/us_ct_data_00014.json", 
    "sponsor": [
      {
        "id": "https://www.grid.ac/institutes/grid.4714.6", 
        "type": "Organization"
      }
    ], 
    "startDate": "2013-04-01T00:00:00Z", 
    "subjectOf": [
      {
        "id": "https://doi.org/10.1371/journal.pone.0133354", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003735310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6874-14-98", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036264833", 
          "https://doi.org/10.1186/1472-6874-14-98"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12889-016-3726-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046530009", 
          "https://doi.org/10.1186/s12889-016-3726-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12889-016-3726-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046530009", 
          "https://doi.org/10.1186/s12889-016-3726-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2214-109x(15)00150-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048677334"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "type": "MedicalStudy", 
    "url": "https://clinicaltrials.gov/show/NCT01827995"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/clinicaltrial.NCT01827995'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/clinicaltrial.NCT01827995'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/clinicaltrial.NCT01827995'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/clinicaltrial.NCT01827995'


 

This table displays all metadata directly associated to this object as RDF triples.

69 TRIPLES      16 PREDICATES      55 URIs      45 LITERALS      1 BLANK NODES

Subject Predicate Object
1 sg:clinicaltrial.NCT01827995 schema:about anzsrc-for:3177
2 schema:description It is estimated that around 50 000 women die every year due to consequences of unsafe abortion (Singh et al, 2009). A majority of these deaths occur in low-income countries where access to safe abortion care is limited. Unplanned pregnancy and unsafe abortion thus place a huge burden on scarce medical resources. Any improvement in Comprehensive Abortion Care (CAC) would mean important improvements for the concerned women and their families (Singh, 2006) as well as for the societies at large. Recommended improvements concern increased access to the safest and most cost-effective methods such as medical abortion provided at primary level facilities (Singh et al, 2009). A Cochrane Review concludes that most randomised controlled trials within the field of medical abortion are conducted in high-income settings with good access to emergency health care services (Kulier et al, 2004). A simplified regime for medical abortion, which could be used at primary level facilities, would contribute to the reduction of maternal mortality and morbidity related to unsafe abortions globally. However, there is a knowledge gap in order to determine if a simplified follow up of medical abortion is equally effective as the standard procedure in a low-income setting. The results will provide evidence-based information to be used in revising training and service delivery guidelines' in order to reduce maternal mortality and morbidity in both low and high-income setting.
3 schema:endDate 2014-06-01T00:00:00Z
4 schema:keywords Cochrane review
5 Singh
6 access
7 care
8 consequence
9 cost-effective method
10 death
11 evidence-based information
12 facility
13 family
14 good access
15 health care service
16 high income
17 huge burden
18 important improvement
19 improvement
20 increased access
21 knowledge gap
22 low-income country
23 low-income setting
24 majority
25 maternal mortality
26 medical resource
27 morbidity
28 randomised controlled trial
29 reduction
30 regime
31 rural India
32 safe
33 safest
34 service delivery
35 society
36 standard procedure
37 unplanned pregnancy
38 unsafe
39 woman
40 schema:name Simplified Medical Abortion in Rural India
41 schema:sameAs https://app.dimensions.ai/details/clinical_trial/NCT01827995
42 schema:sdDatePublished 2019-03-07T15:24
43 schema:sdLicense https://scigraph.springernature.com/explorer/license/
44 schema:sdPublisher Ndcd64318292d49f2a1698263e4b88a9e
45 schema:sponsor https://www.grid.ac/institutes/grid.4714.6
46 schema:startDate 2013-04-01T00:00:00Z
47 schema:subjectOf sg:pub.10.1186/1472-6874-14-98
48 sg:pub.10.1186/s12889-016-3726-1
49 https://doi.org/10.1016/s2214-109x(15)00150-3
50 https://doi.org/10.1371/journal.pone.0133354
51 schema:url https://clinicaltrials.gov/show/NCT01827995
52 sgo:license sg:explorer/license/
53 sgo:sdDataset clinical_trials
54 rdf:type schema:MedicalStudy
55 Ndcd64318292d49f2a1698263e4b88a9e schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 anzsrc-for:3177 schema:inDefinedTermSet anzsrc-for:
58 rdf:type schema:DefinedTerm
59 sg:pub.10.1186/1472-6874-14-98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036264833
60 https://doi.org/10.1186/1472-6874-14-98
61 rdf:type schema:CreativeWork
62 sg:pub.10.1186/s12889-016-3726-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046530009
63 https://doi.org/10.1186/s12889-016-3726-1
64 rdf:type schema:CreativeWork
65 https://doi.org/10.1016/s2214-109x(15)00150-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048677334
66 rdf:type schema:CreativeWork
67 https://doi.org/10.1371/journal.pone.0133354 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003735310
68 rdf:type schema:CreativeWork
69 https://www.grid.ac/institutes/grid.4714.6 schema:Organization
 




Preview window. Press ESC to close (or click here)


...