RESUMO
BACKGROUND: The prevalence of facility-based childbirth in low-resource settings has increased dramatically during the past two decades, yet gaps in the quality of care persist and mortality remains high. The World Health Organization (WHO) Safe Childbirth Checklist, a quality-improvement tool, promotes systematic adherence to practices that have been associated with improved childbirth outcomes. METHODS: We conducted a matched-pair, cluster-randomized, controlled trial in 60 pairs of facilities across 24 districts of Uttar Pradesh, India, testing the effect of the BetterBirth program, an 8-month coaching-based implementation of the Safe Childbirth Checklist, on a composite outcome of perinatal death, maternal death, or maternal severe complications within 7 days after delivery. Outcomes - assessed 8 to 42 days after delivery - were compared between the intervention group and the control group with adjustment for clustering and matching. We also compared birth attendants' adherence to 18 essential birth practices in 15 matched pairs of facilities at 2 and 12 months after the initiation of the intervention. RESULTS: Of 161,107 eligible women, we enrolled 157,689 (97.9%) and determined 7-day outcomes for 157,145 (99.7%) mother-newborn dyads. Among 4888 observed births, birth attendants' mean practice adherence was significantly higher in the intervention group than in the control group (72.8% vs. 41.7% at 2 months; 61.7% vs. 43.9% at 12 months; P<0.001 for both comparisons). However, there was no significant difference between the trial groups either in the composite primary outcome (15.1% in the intervention group and 15.3% in the control group; relative risk, 0.99; 95% confidence interval, 0.83 to 1.18; P=0.90) or in secondary maternal or perinatal adverse outcomes. CONCLUSIONS: Birth attendants' adherence to essential birth practices was higher in facilities that used the coaching-based WHO Safe Childbirth Checklist program than in those that did not, but maternal and perinatal mortality and maternal morbidity did not differ significantly between the two groups. (Funded by the Bill and Melinda Gates Foundation; Clinical Trials number, NCT02148952 .).
Assuntos
Lista de Checagem , Parto Obstétrico/normas , Tocologia , Adulto , Lista de Checagem/estatística & dados numéricos , Distribuição de Qui-Quadrado , Parto Obstétrico/educação , Feminino , Fidelidade a Diretrizes , Humanos , Índia/epidemiologia , Recém-Nascido , Análise de Intenção de Tratamento , Mortalidade Materna , Tocologia/educação , Avaliação de Resultados em Cuidados de Saúde , Mortalidade Perinatal , Gravidez , Transtornos Puerperais/epidemiologia , Melhoria de Qualidade , Padrão de Cuidado , Organização Mundial da SaúdeRESUMO
BACKGROUND: Maternal and neonatal outcomes in the immediate post-delivery period are critical indicators of quality of care. Data on childbirth outcomes in low-income settings usually require home visits, which can be constrained by cost and access. We report on the use of a call center to measure post-discharge outcomes within a multi-site improvement study of facility-based childbirth in Uttar Pradesh, India. METHODS: Of women delivering at study sites eligible for inclusion, 97.9% (n = 157,689) consented to follow-up. All consenting women delivering at study facilities were eligible to receive a phone call between days eight and 42 post-partum to obtain outcomes for the seven-day period after birth. Women unable to be contacted via phone were visited at home. Outcomes, including maternal and early neonatal mortality and maternal morbidity, were ascertained using a standardized script developed from validated survey questions. Data Quality Assurance (DQA) included accuracy (double coding of calls) and validity (consistency between two calls to the same household). Regression models were used to identify factors associated with inconsistency. FINDINGS: Over 23 months, outcomes were obtained by the call center for 98.0% (154,494/157,689) consenting women and their neonates. 87.9% of call center-obtained outcomes were captured by phone call alone and 12.1% required the assistance of a field worker. An additional 1.7% were obtained only by a field worker, 0.3% were lost-to-follow-up, and only 0.1% retracted consent. The call center captured outcomes with a median of 1 call (IQR 1-2). DQA found 98.0% accuracy; data validation demonstrated 93.7% consistency between the first and second call. In a regression model, significant predictors of inconsistency included cases with adverse outcomes (p<0.001), and different respondents on the first and validation call (p<0.001). CONCLUSIONS: In areas with widespread mobile cell phone access and coverage, a call center is a viable and efficient approach for measurement of post-discharge childbirth outcomes.
Assuntos
Call Centers , Medidas de Resultados Relatados pelo Paciente , Período Pós-Parto , Avaliação de Programas e Projetos de Saúde , Feminino , Humanos , Índia , Recém-Nascido , Masculino , Parto , Alta do Paciente , Cuidado Pós-Natal , Melhoria de Qualidade , Reprodutibilidade dos Testes , CônjugesRESUMO
OBJECTIVE: To evaluate whether integration of the Opportunity-Ability-Motivation plus Supplies (OAMS) framework into coaching improved the delivery of essential birth practices in a low-resource setting. METHODS: This prospective mixed-methods study used routine coaching visit data obtained from the first eight intervention facilities of the BetterBirth trial in Uttar Pradesh, India, between December 19, 2014, and October 21, 2015. The 8-month intervention was peer coaching that integrated the OAMS framework to support uptake of the WHO Safe Childbirth Checklist. Descriptive statistics were used to measure nonadherence to essential birth practices. The frequency and accuracy of coaches' coding of barriers and the appropriateness of chosen resolution strategies to measure feasibility, acceptability, and fidelity of using OAMS, were assessed. RESULTS: Coaches observed 666 deliveries, including 12 602 practices. Overall, essential practice nonadherence decreased from 15.6% (262/1675 practices observed) to 4.5% (4/88 practices) (P<0.001). Of the 1048 barriers identified, opportunity (556 [53.1%]) and motivation (287 [27.4%]) were the most frequently reported categories; the frequency of both decreased over time (P=0.003 and P<0.001, respectively). The coaches appropriately categorized 930 (99.8%) of 932 barriers and provided an appropriate strategy for 800 (85.8%). The commonest reason for unaddressed barriers was lack of coaching opportunities. CONCLUSION: Successful integration of OAMS framework into delivery attendant coaching enabled coaches to rapidly diagnose barriers to practice adherence and develop responsive strategies. CLINICALTRIALS.GOV: NCT2148952 (WHO Universal Trial Number: U11111-1315-647).
Assuntos
Adaptação Psicológica , Parto/psicologia , Lista de Checagem , Feminino , Humanos , Índia , Tutoria , Motivação , Gravidez , Estudos ProspectivosRESUMO
BACKGROUND: Adherence to evidence-based essential birth practices is critical for improving health outcomes for mothers and newborns. The WHO Safe Childbirth Checklist (SCC) incorporates these practices, which occur during 4 critical pause points: on admission, before pushing (or cesarean delivery), soon after birth, and before discharge. A peer-coaching strategy to support consistent use of the SCC may be an effective approach to increase birth attendants' adherence to these practices. METHODS: We assessed data from 60 public health facilities in Uttar Pradesh, India, that received an 8-month staggered coaching intervention from December 2014 to September 2016 as part of the BetterBirth Trial, which is studying effectiveness of an SCC-centered intervention on maternal and neonatal harm. Nurse coaches recorded birth attendants' adherence to 39 essential birth practices. Practice adherence was calculated for each intervention month. After 2 months of coaching, a subsample of 15 facilities was selected for independent observation when the coach was not present. We compared adherence to the 18 practices recorded by both coaches and independent observers. RESULTS: Coaches observed birth attendants' behavior during 5,971 deliveries. By the final month of the intervention, 35 of 39 essential birth practices had achieved >90% adherence in the presence of a coach, compared with only 7 of 39 practices during the first month. Key behaviors with the greatest improvement included explanation of danger signs, temperature measurement, assessment of fetal heart sounds, initiation of skin-to-skin contact, and breastfeeding. Without a coach present, birth attendants' average adherence to practices and checklist use was 24 percentage points lower than when a coach was present (range: -1% to 62%). CONCLUSION: Implementation of the WHO Safe Childbirth Checklist with coaching improved uptake of and adherence to essential birth practices. Coordination and communication among facility staff, as well as behaviors with an immediate, tangible benefit, showed the greatest improvement. Difficult-to-perform behaviors and those with delayed or theoretical benefits were less likely to be sustained without a coach present. Coaching may be an important component in implementing the Safe Childbirth Checklist at scale.Note: At the time of publication of this article, the results of evaluation of the impact of the BetterBirth intervention were pending publication in another journal. After the impact findings have been published, we will update this article on the effect of the intervention on birth practices with a reference to the impact findings.
Assuntos
Lista de Checagem/estatística & dados numéricos , Parto Obstétrico , Fidelidade a Diretrizes/estatística & dados numéricos , Tutoria , Grupo Associado , Guias de Prática Clínica como Assunto , Melhoria de Qualidade/organização & administração , Feminino , Instalações de Saúde/estatística & dados numéricos , Humanos , Índia , Gravidez , Setor Público , Organização Mundial da SaúdeRESUMO
BACKGROUND: There are few published standards or methodological guidelines for integrating Data Quality Assurance (DQA) protocols into large-scale health systems research trials, especially in resource-limited settings. The BetterBirth Trial is a matched-pair, cluster-randomized controlled trial (RCT) of the BetterBirth Program, which seeks to improve quality of facility-based deliveries and reduce 7-day maternal and neonatal mortality and maternal morbidity in Uttar Pradesh, India. In the trial, over 6300 deliveries were observed and over 153,000 mother-baby pairs across 120 study sites were followed to assess health outcomes. We designed and implemented a robust and integrated DQA system to sustain high-quality data throughout the trial. METHODS: We designed the Data Quality Monitoring and Improvement System (DQMIS) to reinforce six dimensions of data quality: accuracy, reliability, timeliness, completeness, precision, and integrity. The DQMIS was comprised of five functional components: 1) a monitoring and evaluation team to support the system; 2) a DQA protocol, including data collection audits and targets, rapid data feedback, and supportive supervision; 3) training; 4) standard operating procedures for data collection; and 5) an electronic data collection and reporting system. Routine audits by supervisors included double data entry, simultaneous delivery observations, and review of recorded calls to patients. Data feedback reports identified errors automatically, facilitating supportive supervision through a continuous quality improvement model. RESULTS: The five functional components of the DQMIS successfully reinforced data reliability, timeliness, completeness, precision, and integrity. The DQMIS also resulted in 98.33% accuracy across all data collection activities in the trial. All data collection activities demonstrated improvement in accuracy throughout implementation. Data collectors demonstrated a statistically significant (p = 0.0004) increase in accuracy throughout consecutive audits. The DQMIS was successful, despite an increase from 20 to 130 data collectors. CONCLUSIONS: In the absence of widely disseminated data quality methods and standards for large RCT interventions in limited-resource settings, we developed an integrated DQA system, combining auditing, rapid data feedback, and supportive supervision, which ensured high-quality data and could serve as a model for future health systems research trials. Future efforts should focus on standardization of DQA processes for health systems research. TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT02148952 . Registered on 13 February 2014.
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Confiabilidade dos Dados , Pesquisa sobre Serviços de Saúde/normas , Serviços de Saúde Materna/normas , Parto , Garantia da Qualidade dos Cuidados de Saúde/normas , Melhoria de Qualidade/normas , Indicadores de Qualidade em Assistência à Saúde/normas , Projetos de Pesquisa/normas , Parto Obstétrico/efeitos adversos , Parto Obstétrico/mortalidade , Feminino , Humanos , Índia , Lactente , Mortalidade Infantil , Recém-Nascido , Mortalidade Materna , GravidezRESUMO
BACKGROUND: Effective, scalable strategies to improve maternal, fetal, and newborn health and reduce preventable morbidity and mortality are urgently needed in low- and middle-income countries. Building on the successes of previous checklist-based programs, the World Health Organization (WHO) and partners led the development of the Safe Childbirth Checklist (SCC), a 28-item list of evidence-based practices linked with improved maternal and newborn outcomes. Pilot-testing of the Checklist in Southern India demonstrated dramatic improvements in adherence by health workers to essential childbirth-related practices (EBPs). The BetterBirth Trial seeks to measure the effectiveness of SCC impact on EBPs, deaths, and complications at a larger scale. METHODS/DESIGN: This matched-pair, cluster-randomized controlled, adaptive trial will be conducted in 120 facilities across 24 districts in Uttar Pradesh, India. Study sites, identified according to predefined eligibility criteria, were matched by measured covariates before randomization. The intervention, the SCC embedded in a quality improvement program, consists of leadership engagement, a 2-day educational launch of the SCC, and support through placement of a trained peer "coach" to provide supportive supervision and real-time data feedback over an 8-month period with decreasing intensity. A facility-based childbirth quality coordinator is trained and supported to drive sustained behavior change after the BetterBirth team leaves the facility. Study participants are birth attendants and women and their newborns who present to the study facilities for childbirth at 60 intervention and 60 control sites. The primary outcome is a composite measure including maternal death, maternal severe morbidity, stillbirth, and newborn death, occurring within 7 days after birth. The sample size (n = 171,964) was calculated to detect a 15% reduction in the primary outcome. Adherence by health workers to EBPs will be measured in a subset of births (n = 6000). The trial will be conducted in close collaboration with key partners including the Governments of India and Uttar Pradesh, the World Health Organization, an expert Scientific Advisory Committee, an experienced local implementing organization (Population Services International, PSI), and frontline facility leaders and workers. DISCUSSION: If effective, the WHO Safe Childbirth Checklist program could be a powerful health facility-strengthening intervention to improve quality of care and reduce preventable harm to women and newborns, with millions of potential beneficiaries. TRIAL REGISTRATION: BetterBirth Study Protocol dated: 13 February 2014; ClinicalTrials.gov: NCT02148952 ; Universal Trial Number: U1111-1131-5647.
Assuntos
Lista de Checagem , Prestação Integrada de Cuidados de Saúde/organização & administração , Saúde do Lactente , Serviços de Saúde Materna/organização & administração , Saúde Materna , Equipe de Assistência ao Paciente/organização & administração , Complicações na Gravidez/prevenção & controle , Organização Mundial da Saúde , Protocolos Clínicos , Feminino , Morte Fetal/etiologia , Morte Fetal/prevenção & controle , Nível de Saúde , Humanos , Índia , Lactente , Mortalidade Infantil , Recém-Nascido , Liderança , Mortalidade Materna , Tutoria , Gravidez , Complicações na Gravidez/diagnóstico , Complicações na Gravidez/etiologia , Complicações na Gravidez/mortalidade , Avaliação de Programas e Projetos de Saúde , Melhoria de Qualidade , Indicadores de Qualidade em Assistência à Saúde , Projetos de Pesquisa , Medição de Risco , Fatores de Risco , Índice de Gravidade de Doença , Fatores de TempoRESUMO
Cymbopogon citratus, Stapf (Lemon grass) is a widely used herb in tropical countries, especially in Southeast Asia. The essential oil of the plant is used in aromatherapy. The compounds identified in Cymbopogon citratus are mainly terpenes, alcohols, ketones, aldehyde and esters. Some of the reported phytoconstituents are essential oils that contain Citral α, Citral ß, Nerol Geraniol, Citronellal, Terpinolene, Geranyl acetate, Myrecene and Terpinol Methylheptenone. The plant also contains reported phytoconstituents such as flavonoids and phenolic compounds, which consist of luteolin, isoorientin 2'-O-rhamnoside, quercetin, kaempferol and apiginin. Studies indicate that Cymbopogon citratus possesses various pharmacological activities such as anti-amoebic, antibacterial, antidiarrheal, antifilarial, antifungal and anti-inflammatory properties. Various other effects like antimalarial, antimutagenicity, antimycobacterial, antioxidants, hypoglycemic and neurobehaviorial have also been studied. These results are very encouraging and indicate that this herb should be studied more extensively to confirm these results and reveal other potential therapeutic effects.