Factors influencing referrals for ultrasound-diagnosed complications during prenatal care in five low and middle income countries

Abstract Background Ultrasound during antenatal care (ANC) is proposed as a strategy for increasing hospital deliveries for complicated pregnancies and improving maternal, fetal, and neonatal outcomes. The First Look study was a cluster-randomized trial conducted in the Democratic Republic of Congo, Guatemala, Kenya, Pakistan and Zambia to evaluate the impact of ANC-ultrasound on these outcomes. An additional survey was conducted to identify factors influencing women with complicated pregnancies to attend referrals for additional care. Methods Women who received referral due to ANC ultrasound findings participated in structured interviews to characterize their experiences. Cochran-Mantel-Haenszel statistics were used to examine differences between women who attended the referral and women who did not. Sonographers’ exam findings were compared to referred women’s recall. Results Among 700 referred women, 510 (71%) attended the referral. Among referred women, 97% received a referral card to present at the hospital, 91% were told where to go in the hospital, and 64% were told that the hospital was expecting them. The referred women who were told who to see at the hospital (88% vs 66%), where to go (94% vs 82%), or what should happen, were more likely to attend their referral (68% vs 56%). Barriers to attending referrals were cost, transportation, and distance. Barriers after reaching the hospital were substantial. These included not connecting with an appropriate provider, not knowing where to go, and being told to return later. These barriers at the hospital often led to an unsuccessful referral. Conclusions Our study found that ultrasound screening at ANC alone does not adequately address barriers to referrals. Better communication between the sonographer and the patient increases the likelihood of a completed referral. These types of communication include describing the ultrasound findings, including the reason for the referral, to the mother and staff; providing a referral card; describing where to go in the hospital; and explaining the procedures at the hospital. Thus, there are three levels of communication that need to be addressed to increase completion of appropriate referrals-communication between the sonographer and the woman, the sonographer and the clinic staff, and the sonographer and the hospital. Trial registration NCT01990625

A population-based, multifaceted strategy to implement antenatal corticosteroid treatment versus standard care for the reduction of neonatal mortality due to preterm birth in low-income and middle-income countries: The ACT cluster-randomised trial

Background Antenatal corticosteroids for pregnant women at risk of preterm birth are among the most effective hospital-based interventions to reduce neonatal mortality. We aimed to assess the feasibility, effectiveness, and safety of a multifaceted intervention designed to increase the use of antenatal corticosteroids at all levels of health care in low-income and middle-income countries. Methods In this 18-month, cluster-randomised trial, we randomly assigned (1:1) rural and semi-urban clusters within six countries (Argentina, Guatemala, India, Kenya, Pakistan, and Zambia) to standard care or a multifaceted intervention including components to improve identification of women at risk of preterm birth and to facilitate appropriate use of antenatal corticosteroids. The primary outcome was 28-day neonatal mortality among infants less than the 5th percentile for birthweight (a proxy for preterm birth) across the clusters. Use of antenatal corticosteroids and suspected maternal infection were additional main outcomes. This trial is registered with ClinicalTrials.gov, number NCT01084096. Findings The ACT trial took place between October, 2011, and March, 2014 (start dates varied by site). 51 intervention clusters with 47 394 livebirths (2520 [5%] less than 5th percentile for birthweight) and 50 control clusters with 50 743 livebirths (2258 [4%] less than 5th percentile) completed follow-up. 1052 (45%) of 2327 women in intervention clusters who delivered less-than-5th-percentile infants received antenatal corticosteroids, compared with 215 (10%) of 2062 in control clusters (p<0·0001). Among the less-than-5th-percentile infants, 28-day neonatal mortality was 225 per 1000 livebirths for the intervention group and 232 per 1000 livebirths for the control group (relative risk [RR] 0·96, 95% CI 0·87-1·06, p=0·65) and suspected maternal infection was reported in 236 (10%) of 2361 women in the intervention group and 133 (6%) of 2094 in the control group (odds ratio [OR] 1·67, 1·33-2·09, p<0·0001). Among the whole population, 28-day neonatal mortality was 27·4 per 1000 livebirths for the intervention group and 23·9 per 1000 livebirths for the control group (RR 1·12, 1·02-1·22, p=0·0127) and suspected maternal infection was reported in 1207 (3%) of 48 219 women in the intervention group and 867 (2%) of 51 523 in the control group (OR 1·45, 1·33-1·58, p<0·0001). Interpretation Despite increased use of antenatal corticosteroids in low-birthweight infants in the intervention groups, neonatal mortality did not decrease in this group, and increased in the population overall. For every 1000 women exposed to this strategy, an excess of 3·5 neonatal deaths occurred, and the risk of maternal infection seems to have been increased. Funding Eunice Kennedy Shriver National Institute of Child Health and Human Development.Fil: Althabe, Fernando. Instituto de Efectividad Clínica y Sanitaria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Belizan, Jose. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: McClure, Elizabeth M.. Rti International;Fil: Hemingway Foday, Jennifer. Rti International;Fil: Berrueta, Amanda Mabel. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Mazzoni, Agustina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Ciganda, Alvaro. Unicem; Uruguay. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Goudar, Shivaprasad S.. Jawaharlal Nehru Medical College Belgaum; IndiaFil: Kodkany, Bhalachandra S.. Jawaharlal Nehru Medical College Belgaum; IndiaFil: Mahantshetti, Niranjana S.. Jawaharlal Nehru Medical College Belgaum; IndiaFil: Dhaded, Sangappa M.. Jawaharlal Nehru Medical College Belgaum; IndiaFil: Katageri, Geetanjali M.. S. Nijalingappa Medical College; IndiaFil: Metgud, Mrityunjay C.. Jawaharlal Nehru Medical College Belgaum; IndiaFil: Joshi, Anjali M.. Jawaharlal Nehru Medical College Belgaum; IndiaFil: Bellad, Mrutyunjaya B.. Jawaharlal Nehru Medical College Belgaum; IndiaFil: Honnungar, Narayan V.. Jawaharlal Nehru Medical College Belgaum; IndiaFil: Derman, Richard J.. Christiana Health Care Services; Estados UnidosFil: Saleem, Sarah. The Aga Khan University; PakistánFil: Pasha, Omrana. The Aga Khan University; PakistánFil: Ali, Sumera. The Aga Khan University; PakistánFil: Hasnain, Farid. The Aga Khan University; PakistánFil: Goldenberg, Robert L. Columbia University; Estados UnidosFil: Esamai, Fabian. Moi University; KeniaFil: Nyongesa, Paul. Moi University; KeniaFil: Ayunga, Silas. University of Alabama at Birmingahm; Estados UnidosFil: Liechty, Edward A. Indiana University; Estados UnidosFil: Garces, Ana L. Francisco Marroquin University; Guatemala. Fundacion Para la Alimentacion y Nutricion de Centro America y Panama; GuatemalaFil: Figueroa, Lester. Fundacion Para la Alimentacion y Nutricion de Centro America y Panama; GuatemalaFil: Hambidge, K Michael. State University of Colorado - Fort Collins; Estados UnidosFil: Krebs, Nancy F. State University of Colorado - Fort Collins; Estados UnidosFil: Patel, Archana. Government Medical College Nagpur; India. Lata Medical Research Foundation; IndiaFil: Bhandarkar, Anjali. Lata Medical Research Foundation; IndiaFil: Waikar, Manjushri. Lata Medical Research Foundation; IndiaFil: Hibberd, Patricia L. Massachusetts General Hospital; Estados UnidosFil: Chomba, Elwyn. University Teaching Hospital Lusaka; ZambiaFil: Carlo, Waldemar A. University of Alabama at Birmingahm; Estados UnidosFil: Mwiche, Angel. University Teaching Hospital Lusaka; ZambiaFil: Chiwila, Melody. Centre For Infectious Disease Research; ZambiaFil: Manasyan, Albert. University of Alabama at Birmingahm; Estados UnidosFil: Pineda, Sayury. Fundacion Para la Alimentacion y Nutricion de Centro America y Panama; GuatemalaFil: Meleth, Sreelatha. Rti International; Estados UnidosFil: Thorsten, Vanessa. Rti International; Estados UnidosFil: Stolka, Kristen. Rti International; Estados UnidosFil: Wallace, Dennis D. Rti International; Estados UnidosFil: Koso-Thomas, Marion. National Instituto Of Child Health & Human Developm.; Estados UnidosFil: Jobe, Alan H. Cincinnati Children's Hospital Medical Center; Estados UnidosFil: Buekens, Pierre M. Tulane University School Of Public Health And Tropical Medicine; Estados Unido

Designing a comprehensive behaviour change intervention to promote and monitor exclusive use of liquefied petroleum gas stoves for the Household Air Pollution Intervention Network (HAPIN) trial

Introduction Increasing use of cleaner fuels, such as liquefied petroleum gas (LPG), and abandonment of solid fuels is key to reducing household air pollution and realising potential health improvements in low-income countries. However, achieving exclusive LPG use in households unaccustomed to this type of fuel, used in combination with a new stove technology, requires substantial behaviour change. We conducted theory-grounded formative research to identify contextual factors influencing cooking fuel choice to guide the development of behavioural strategies for the Household Air Pollution Intervention Network (HAPIN) trial. The HAPIN trial will assess the impact of exclusive LPG use on air pollution exposure and health of pregnant women, older adult women, and infants under 1 year of age in Guatemala, India, Peru, and Rwanda.Methods Using the Capability, Opportunity, Motivation–Behaviour (COM–B) framework and Behaviour Change Wheel (BCW) to guide formative research, we conducted in-depth interviews, focus group discussions, observations, key informant interviews and pilot studies to identify key influencers of cooking behaviours in the four countries. We used these findings to develop behavioural strategies likely to achieve exclusive LPG use in the HAPIN trial.Results We identified nine potential influencers of exclusive LPG use, including perceived disadvantages of solid fuels, family preferences, cookware, traditional foods, non-food-related cooking, heating needs, LPG awareness, safety and cost and availability of fuel. Mapping formative findings onto the theoretical frameworks, behavioural strategies for achieving exclusive LPG use in each research site included free fuel deliveries, locally acceptable stoves and equipment, hands-on training and printed materials and videos emphasising relevant messages. In the HAPIN trial, we will monitor and reinforce exclusive LPG use through temperature data loggers, LPG fuel delivery tracking, in-home observations and behavioural reinforcement visits.Conclusion Our formative research and behavioural strategies can inform the development, implementation, monitoring and evaluation of theory-informed strategies to promote exclusive LPG use in future stove programmes and research studies.Trial registration number NCT02944682, Pre-results

Comparison of next-generation portable pollution monitors to measure exposure to PM2.5 from household air pollution in Puno, Peru

Assessment of personal exposure to PM2.5 is critical for understanding intervention effectiveness and exposure-response relationships in household air pollution studies. In this pilot study, we compared PM2.5 concentrations obtained from two next-generation personal exposure monitors (the Enhanced Children MicroPEM or ECM; and the Ultrasonic Personal Air Sampler or UPAS) to those obtained with a traditional Triplex Cyclone and SKC Air Pump (a gravimetric cyclone/pump sampler). We co-located cyclone/pumps with an ECM and UPAS to obtain 24-hour kitchen concentrations and personal exposure measurements. We measured Spearmen correlations and evaluated agreement using the Bland-Altman method. We obtained 215 filters from 72 ECM and 71 UPAS co-locations. Overall, the ECM and the UPAS had similar correlation (ECM rho = 0.91 vs UPAS rho = 0.88) and agreement (ECM mean difference of 121.7 mu g/m(3) vs UPAS mean difference of 93.9 mu g/m(3)) with overlapping confidence intervals when compared against the cyclone/pump. When adjusted for the limit of detection, agreement between the devices and the cyclone/pump was also similar for all samples (ECM mean difference of 68.8 mu g/m(3) vs UPAS mean difference of 65.4 mu g/m(3)) and personal exposure samples (ECM mean difference of -3.8 mu g/m(3) vs UPAS mean difference of -12.9 mu g/m(3)). Both the ECM and UPAS produced comparable measurements when compared against a cyclone/pump setup