scholarly journals The effectiveness of healthy lifestyle interventions on weight gain in overweight pregnant women: A cluster‐randomized controlled trial

Nursing Open ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. 1876-1886
Author(s):  
Sepideh Hajian ◽  
Armin Aslani ◽  
Parvin Sarbakhsh ◽  
Azita Fathnezhad‐Kazemi
Keyword(s):  
Randomized Controlled Trial ◽  
Weight Gain ◽  
Pregnant Women ◽  
Healthy Lifestyle ◽  
Controlled Trial ◽  
Cluster Randomized Controlled Trial ◽  
Lifestyle Interventions ◽  
Randomized Controlled ◽  
Cluster Randomized ◽  
Healthy Lifestyle Interventions

scholarly journals The Effect of a Serious Health Game on Children’s Eating Behavior: Cluster-Randomized Controlled Trial (Preprint)

2020 ◽  
Author(s):  
Frans Folkvord ◽  
Gosse Haga ◽  
Alexandra Theben
Keyword(s):  
Randomized Controlled Trial ◽  
Dietary Intake ◽  
Eating Behavior ◽  
Healthy Lifestyle ◽  
Controlled Trial ◽  
Computer Game ◽  
Dietary Guidelines ◽  
Cluster Randomized Controlled Trial ◽  
Randomized Controlled ◽  
Cluster Randomized

BACKGROUND Currently, children’s dietary intake patterns do not meet prescribed dietary guidelines. Consequently, childhood obesity is one of the most serious health concerns. Therefore, innovative methods need to be developed and tested in order to effectively improve the dietary intake of children. Teaching children how to cope with the overwhelming number of unhealthy food cues could be conducted effectively by serious health games. OBJECTIVE The main aim of this study was to examine the effect of a serious health computer game on young children’s eating behavior and attitudes toward healthy and unhealthy foods. METHODS A cluster-randomized controlled trial with a between-group design was conducted (n=157; 8-12 years), wherein children played a game that promoted a healthy lifestyle or attended regular classes and did not play a game (control). The game was designed in collaboration with researchers and pilot-tested among a group of children repeatedly before conducting the experiment. After 1 week of playing, attitudes toward food snacks and actual intake (children could eat <i>ad libitum</i> from fruits or energy-dense snacks) was assessed. RESULTS The results showed that playing a serious health game did not have an effect on attitude toward fruits or energy-dense snacks or on the intake of fruits or less energy-dense snacks. Additional Bayesian analyses supported these findings. CONCLUSIONS Serious health games are increasingly considered to be a potential effective intervention when it comes to behavior change. The results of the current study stress the importance of tailoring serious health games in order to be effective, because no effect was found on attitude or eating behavior. CLINICALTRIAL ClinicalTrials.gov NCT05025995; https://tinyurl.com/mdd7wrjd

scholarly journals An Electronic Registry for Improving the Quality of Antenatal Care in Rural Bangladesh (eRegMat): Protocol for a Cluster Randomized Controlled Trial

10.2196/26918 ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. e26918
Author(s):  
Anisur Rahman ◽  
Ingrid K Friberg ◽  
Akuba Dolphyne ◽  
Ingvild Fjeldheim ◽  
Fatema Khatun ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Antenatal Care ◽  
Health System ◽  
Pregnant Women ◽  
Health Worker ◽  
Controlled Trial ◽  
Health Facilities ◽  
Cluster Randomized Controlled Trial ◽  
Randomized Controlled ◽  
Cluster Randomized

Background Digital health interventions (DHIs) can alleviate several barriers to achieving better maternal and child health. The World Health Organization’s guideline recommendations for DHIs emphasize the need to integrate multiple DHIs for maximizing impact. The complex health system of Bangladesh provides a unique setting for evaluating and understanding the role of an electronic registry (eRegistry) for antenatal care, with multiple integrated DHIs for strengthening the health system as well as improving the quality and utilization of the public health care system. Objective The aim of this study is to assess the effect of an eRegistry with DHIs compared with a simple digital data entry tool without DHIs in the community and frontline health facilities. Methods The eRegMat is a cluster-randomized controlled trial conducted in the Matlab North and Matlab South subdistricts in the Chandpur district, Bangladesh, where health facilities are currently using the eRegistry for digital tracking of the health status of pregnant women longitudinally. The intervention arm received 3 superimposed data-driven DHIs: health worker clinical decision support, health worker feedback dashboards with action items, and targeted client communication to pregnant women. The primary outcomes are appropriate screening as well as management of hypertension during pregnancy and timely antenatal care attendance. The secondary outcomes include morbidity and mortality in the perinatal period as well as timely first antenatal care visit; successful referrals for anemia, diabetes, or hypertension during pregnancy; and facility delivery. Results The eRegistry and DHIs were co-designed with end users between 2016 and 2018. The eRegistry was implemented in the study area in July 2018. Recruitment for the trial started in October 2018 and ended in June 2020, followed by an 8-month follow-up period to capture outcome data until February 2021. Trial results will be available for publication in June 2021. Conclusions This trial allows the simultaneous assessment of multiple integrated DHIs for strengthening the health system and aims to provide evidence for its implementation. The study design and outcomes are geared toward informing the living review process of the guidelines for implementing DHIs. Trial Registration ISRCTN Registry ISRCTN69491836; https://www.isrctn.com/ISRCTN69491836 International Registered Report Identifier (IRRID) DERR1-10.2196/26918

Promotion of Weight Gain in Early Childhood Does Not Increase Metabolic Risk in Adolescents: A 15-Year Follow-Up of a Cluster-Randomized Controlled Trial

2015 ◽  
Vol 145 (12) ◽  
pp. 2749-2755 ◽  
Author(s):  
Iná S Santos ◽  
Alicia Matijasevich ◽  
Maria Cecília F Assunção ◽  
Neiva CJ Valle ◽  
Bernardo L Horta ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Early Childhood ◽  
Weight Gain ◽  
Controlled Trial ◽  
Cluster Randomized Controlled Trial ◽  
Metabolic Risk ◽  
Randomized Controlled ◽  
Cluster Randomized

A clinical carepath for obese pregnant women: a pragmatic pilot cluster randomized controlled trial

2018 ◽  
Vol 32 (23) ◽  
pp. 3915-3922
Author(s):  
Sarah D. McDonald ◽  
Kristen A. Viaje ◽  
Rebecca A. Rooney ◽  
Alexander Jarde ◽  
Lucia Giglia ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Pregnant Women ◽  
Controlled Trial ◽  
Cluster Randomized Controlled Trial ◽  
Randomized Controlled ◽  
Cluster Randomized

scholarly journals An Electronic Registry for Improving the Quality of Antenatal Care in Rural Bangladesh (eRegMat): Protocol for a Cluster Randomized Controlled Trial (Preprint)

2021 ◽  
Author(s):  
Anisur Rahman ◽  
Ingrid K Friberg ◽  
Akuba Dolphyne ◽  
Ingvild Fjeldheim ◽  
Fatema Khatun ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Antenatal Care ◽  
Health System ◽  
Pregnant Women ◽  
Health Worker ◽  
Controlled Trial ◽  
Health Facilities ◽  
Cluster Randomized Controlled Trial ◽  
Randomized Controlled ◽  
Cluster Randomized

BACKGROUND Digital health interventions (DHIs) can alleviate several barriers to achieving better maternal and child health. The World Health Organization’s guideline recommendations for DHIs emphasize the need to integrate multiple DHIs for maximizing impact. The complex health system of Bangladesh provides a unique setting for evaluating and understanding the role of an electronic registry (eRegistry) for antenatal care, with multiple integrated DHIs for strengthening the health system as well as improving the quality and utilization of the public health care system. OBJECTIVE The aim of this study is to assess the effect of an eRegistry with DHIs compared with a simple digital data entry tool without DHIs in the community and frontline health facilities. METHODS The eRegMat is a cluster-randomized controlled trial conducted in the Matlab North and Matlab South subdistricts in the Chandpur district, Bangladesh, where health facilities are currently using the eRegistry for digital tracking of the health status of pregnant women longitudinally. The intervention arm received 3 superimposed data-driven DHIs: health worker clinical decision support, health worker feedback dashboards with action items, and targeted client communication to pregnant women. The primary outcomes are appropriate screening as well as management of hypertension during pregnancy and timely antenatal care attendance. The secondary outcomes include morbidity and mortality in the perinatal period as well as timely first antenatal care visit; successful referrals for anemia, diabetes, or hypertension during pregnancy; and facility delivery. RESULTS The eRegistry and DHIs were co-designed with end users between 2016 and 2018. The eRegistry was implemented in the study area in July 2018. Recruitment for the trial started in October 2018 and ended in June 2020, followed by an 8-month follow-up period to capture outcome data until February 2021. Trial results will be available for publication in June 2021. CONCLUSIONS This trial allows the simultaneous assessment of multiple integrated DHIs for strengthening the health system and aims to provide evidence for its implementation. The study design and outcomes are geared toward informing the living review process of the guidelines for implementing DHIs. CLINICALTRIAL ISRCTN Registry ISRCTN69491836; https://www.isrctn.com/ISRCTN69491836 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/26918

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