| Literature DB >> 32887669 |
Alexandre Dumont1, Ana Pilar Betrán2, Charles Kaboré3, Myriam de Loenzien4, Pisake Lumbiganon5, Meghan A Bohren2,6, Quoc Nhu Hung Mac7, Newton Opiyo2, Guillermo Carroli8, Kristi Sidney Annerstedt9, Valéry Ridde4, Ramón Escuriet10, Michael Robson11, Claudia Hanson12,13.
Abstract
BACKGROUND: While cesarean sections (CSs) are a life-saving intervention, an increasing number are performed without medical reasons in low- and middle-income countries (LMICs). Unnecessary CS diverts scarce resources and thereby reduces access to healthcare for women in need. Argentina, Burkina Faso, Thailand, and Vietnam are committed to reducing unnecessary CS, but many individual and organizational factors in healthcare facilities obstruct this aim. Nonclinical interventions can overcome these barriers by helping providers improve their practices and supporting women's decision-making regarding childbirth. Existing evidence has shown only a modest effect of single interventions on reducing CS rates, arguably because of the failure to design multifaceted interventions effectively tailored to the context. The aim of this study is to design, adapt, and test a multifaceted intervention for the appropriate use of CS in Argentina, Burkina Faso, Thailand, and Vietnam.Entities:
Keywords: Healthcare organization; Low- and middle-income countries; Nonclinical intervention; Quality of care; Shared decision-making; Unnecessary cesarean section
Year: 2020 PMID: 32887669 PMCID: PMC7650262 DOI: 10.1186/s13012-020-01029-4
Source DB: PubMed Journal: Implement Sci ISSN: 1748-5908 Impact factor: 7.327
Published randomized controlled trials with moderate- to high-certainty evidence
| Study | Study design | Type of intervention | Overall CS rate in % | Relative effect (95% CI) | |||
|---|---|---|---|---|---|---|---|
| Intervention | Control | ||||||
| Baseline | Post | Baseline | Post | ||||
| Lomas [ | Cluster RCT | Opinion leader education | 53.7* | 66.8* | Not reported | ||
| Audit and feedback | 69.7* | 66.8* | |||||
| Althabe [ | Cluster RCT | Mandatory second opinion | 26.3 | 24.7 | 24.6 | 24.9 | ARR −1.9 (−3.8 to −0.1) |
| Chaillet [ | Cluster RCT | Audit and feedback | 22.5 | 21.8 | 23.2 | 23.5 | ARR −1.8 (−3.8 to −0.2) |
| RCT | 8.5** | 7.6** | 8.5** | 9.0** | ARR −1.7 (−3.0 to −0.3) | ||
| Mansoumi [ | RCT | Antenatal education program for physiologic childbirth | 45.0 | 43.7 | RR 1.03 (0.72 to 1.49) | ||
| Bergstrom [ | RCT | Antenatal education on natural childbirth preparation with training in breathing and relaxation techniques | 59.9* | 63.0* | RR 0.95 (0.58 to 1.56) | ||
| Fraser [ | RCT | Individualized prenatal education and support program versus written information in pamphlet | 21.3 | 23.7 | RR 0.90 (0.74 to 1.11) | ||
| Montgomery [ | RCT | Computer-based decision aids (information program, decision analysis) | 48.6* | 49.6* | RR 0.98 (0.82 to 1.18) | ||
| Shorten [ | RCT | Decision aid booklet during antenatal care | 49.4* | 52.2* | Not reported | ||
| Bohren [ | Meta-analysis | Companionship during labor | 12.3 | 15.0 | RR 0.75 (0.64 to 0.88) | ||
RCT randomized controlled trial with intervention at the woman’s level; cluster-RCT randomized controlled trial with intervention at the hospital or healthcare provider level
For RCTs, risk ratio (RR) = (mean rate intervention/mean rate control) with 95% confidence intervals
For the meta-analysis of RCTs, the relative effect is the summary risk ratio with 95% confidence intervals
For cluster-RCTs, absolute risk reduction (ARR) = (rate change in the intervention group)—(rate change in the control group) with 95% confidence intervals
*The selected outcome is the elective repeat cesarean section rate among high-risk women (women with previous CS)
**The selected outcome is the overall CS rate among low-risk women (single pregnancy with cephalic presentation without any complication)
Fig. 1Quality decision-making (QUALI-DEC) by women and healthcare providers for appropriate use of cesarean section
Definition, theory, and assumptions of each component of the QUALI-DEC intervention
| Component | Definition | Theoretical stance | Assumption |
|---|---|---|---|
| Opinion leaders [ | Healthcare leaders are identified by their colleagues or local authorities in participating healthcare facilities as being respected clinicians and effective communicators. | Power/interaction model of interpersonal influence [ | Adherence to guidelines and clinical audit are reinforced through the interaction and influence of reputable culture change agents. |
| Audit and feedback [ | Indications of CS and CS practice among low-risk women are audited by a local committee, with timely feedback to all healthcare professionals. | Constructivist learning [ | The way knowledge is absorbed, processed, and retained results from cognitive, emotional, and environmental influences, and change occurs through the active involvement of professionals in analyzing their practices. |
| Decision analysis tool (DAT) [ | A meaningful dialog between providers and women on preferences, options, concerns, risks and benefits of planned CS vs. planned vaginal delivery leads to an informed and more satisfactory decision for both parties. | Decision theory [ | A decision aid benefits women and healthcare workers by facilitating a process of informed decision-making, in the context of improved knowledge and overt consideration of women’s individual fears, values, and needs surrounding birth. |
| Companionship during labor [ | Through the process of implementation, professionals decide on the modification of existing systems, structures, or tasks to offer women and their relatives the possibility of having a companion of choice during labor and childbirth. | Convoy model of social relations [ | Overuse of CS can be prevented by improving the design of health systems and processes to better respond and adapt to the needs of women and their relatives regarding social support during labor and childbirth. |
Main health indicators at country level
| Indicator, 2017-2019* | Argentina | Burkina Faso | Thailand | Vietnam |
|---|---|---|---|---|
| Population (millions) | 44.9 | 20.3 | 66.4 | 95.7 |
| Total fertility rate | 2.3 | 5.3 | 1.5 | 2.0 |
| Maternal mortality ratio | 39 | 320 | 37 | 43 |
| Neonatal mortality rate | 6.4 | 24.7 | 5.0 | 10.6 |
| Institutional delivery rate | 100% | 80% | 99% | 94% |
| Cesarean section rate | 36% | 3% | 33% | 27% |
| Risk of impoverishing expenditure for surgical care | 3.9% | 75.9% | 6.3% | 27.4% |
| GDP per capita (PPP international $) 2018 | 20,611 | 1985 | 19,051 | 7478 |
| Income group of the country | Upper-middle income | Lower income | Upper-middle income | Middle income |
*Latest estimation according to the following source of information: (1) WHO Statistical Information System : https://www.who.int/whosis/indicators/en/; (2) World Bank national accounts data: https://data.worldbank.org/indicator/NY.GDP.PCAP.PP. CD
Maternal mortality ratio: number of maternal deaths per 100,000 live births
Neonatal mortality rate: number of newborn deaths per 1000 live births
Impoverishing expenditure is defined as direct out-of-pocket payments for surgical and anesthesia care which drive people below a poverty threshold (using a threshold of $1.25 PPP/day).
Risk of impoverishing is the proportion of population at risk of impoverishing expenditure when surgical care is required
Characteristics of participating hospitals by country
| Characteristic | Argentina | Burkina Faso | Thailand | Vietnam |
|---|---|---|---|---|
| Type of hospital | ||||
| Public without private ward | 8 | 8 | 0 | 2 |
| Public with private wards | 0 | 0 | 8 | 4 |
| Private | 0 | 0 | 0 | 2 |
| Level of reference | ||||
| Tertiary | 4 | 2 | 6 | 2 |
| Secondary | 4 | 4 | 2 | 4 |
| Primary | 0 | 2 | 0 | 2 |
| Teaching hospital | ||||
| Yes | 8 | 3 | 8 | 4 |
| No | 0 | 5 | 0 | 4 |
| Type of medical records | ||||
| Electronic | 8 | 0 | 4 | 1 |
| Paper-based | 0 | 8 | 4 | 7 |
| Range of annual births | 1200-5600 | 2500-6000 | 2500-7500 | 2800-42,000 |
| Range of CS rates | 23-38% | 21-48% | 36-56% | 23-54% |
Fig. 2Audit cycle to change medical practice
Fig. 3Key functions of the process evaluation and the relations among them (adapted from Moore 2015) [15]
Fig. 4Data collection and analysis methods for process evaluation