Mobile phone communication for improving uptake of antiretroviral therapy in HIV-infected pregnant women: updated systematic review and meta-analysis

Objective The aim of this systematic review is to provide some evidence on the use of mobile phone communication for improving ARV adherence during pregnancy, as well as to investigate whether text messaging on mobile phones could improve follow up in HIV exposed infants. Methods We did a systematic review and meta-analysis, using CENTRAL (Cochrane Central Register of Controlled Trials), Scopus, MEDLINE via PubMed, Web of Science, and CINAHL to search for studies in English published between 5 may 2016 to May 2021 that assessed the effects of mobile phone in HIV infected pregnant women. We used MetaPro version 3.0 to compute the OR 2 and RR and their 95%CI. We performed random-effects model meta analysis for estimating pooled outcomes. Results Nine studies were included in the meta-analysis. The pooled maternal postpartum retention was (OR 2.20, 95%CI: 1.55 to 3.13, I2 = 53.20%, P < 0.001). In the same line, the pooled odds of ART uptake was (OR 1.5, 95%CI: 1.07 to 2.11, I2 =0%, P = 0.020) and we found statistically significant impact of mobile phone on HIV testing at 6 weeks and above among HIV exposed children (OR 1.89, 95%CI: 1.04 to 3. 48, I2 = OR 1.89, 95%CI: 1.04 to 3. 48, I2 =88.04%, P = 0.032). Conclusion In comparison to our previous review, this updated review focuses on moderate evidence for mobile phone communication in HIV-infected pregnant women. The results showed that using a mobile phone improved maternal post-partum retention, ART uptake, and infant HIV testing at 6 weeks and older.

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Mobile phone text messaging in improving glycaemic control for patients with type 2 diabetes mellitus: A systematic review and meta-analysis

Diabetes Research and Clinical Practice ◽

10.1016/j.diabres.2019.02.022 ◽

2019 ◽

Vol 150 ◽

pp. 27-37 ◽

Cited By ~ 18

Author(s):

Rabbia Haider ◽

Likhitha Sudini ◽

Clara K. Chow ◽

N. Wah Cheung

Keyword(s):

Diabetes Mellitus ◽

Systematic Review ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Glycaemic Control ◽

Mobile Phone ◽

Text Messaging ◽

Meta Analysis

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Mobile phone text-messaging interventions aimed to prevent cardiovascular diseases (Text2PreventCVD): systematic review and individual patient data meta-analysis

Open Heart ◽

10.1136/openhrt-2019-001017 ◽

2019 ◽

Vol 6 (2) ◽

pp. e001017 ◽

Cited By ~ 4

Author(s):

Sheikh Mohammed Shariful Islam ◽

Andrew J Farmer ◽

Kirsten Bobrow ◽

Ralph Maddison ◽

Robyn Whittaker ◽

...

Keyword(s):

Risk Factors ◽

Systematic Review ◽

Blood Pressure ◽

Mobile Phone ◽

Text Messaging ◽

Individual Patient Data ◽

Meta Analysis ◽

Multiple Risk Factors ◽

Cvd Prevention ◽

Multiple Risk

BackgroundA variety of small mobile phone text-messaging interventions have indicated improvement in risk factors for cardiovascular disease (CVD). Yet the extent of this improvement and whether it impacts multiple risk factors together is uncertain. We aimed to conduct a systematic review and individual patient data (IPD) meta-analysis to investigate the effects of text-messaging interventions for CVD prevention.MethodsElectronic databases were searched to identify trials investigating a text-messaging intervention focusing on CVD prevention with the potential to modify at least two CVD risk factors in adults. The main outcome was blood pressure (BP). We conducted standard and IPD meta-analysis on pooled data. We accounted for clustering of patients within studies and the primary analysis used random-effects models. Sensitivity and subgroup analyses were performed.ResultsNine trials were included in the systematic review involving 3779 participants and 5 (n=2612) contributed data to the IPD meta-analysis. Standard meta-analysis showed that the weighted mean differences are as follows: systolic blood pressure (SBP), −4.13 mm Hg (95% CI −11.07 to 2.81, p<0.0001); diastolic blood pressure (DBP), −1.11 mm Hg (−1.91 to −0.31, p=0.002); and body mass index (BMI), −0.32 (−0.49 to −0.16, p=0.000). In the IPD meta-analysis, the mean difference are as follows: SBP, −1.3 mm Hg (−5.4 to 2.7, p=0.5236); DBP, −0.8 mm Hg (−2.5 to 1.0, p=0.3912); and BMI, −0.2 (−0.8 to 0.4, p=0.5200) in the random-effects model. The impact on other risk factors is described, but there were insufficient data to conduct meta-analyses.ConclusionMobile phone text-messaging interventions have modest impacts on BP and BMI. Simultaneous but small impacts on multiple risk factors are likely to be clinically relevant and improve outcome, but there are currently insufficient data in pooled analyses to examine the extent to which simultaneous reduction in multiple risk factors occurs.PROSPERO registration numberCRD42016033236.

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Effectiveness of text messaging interventions for the management of depression: A systematic review and meta-analysis

Journal of Telemedicine and Telecare ◽

10.1177/1357633x19875852 ◽

2019 ◽

Vol 25 (9) ◽

pp. 513-523 ◽

Cited By ~ 5

Author(s):

Buddhika Senanayake ◽

Sumudu I Wickramasinghe ◽

Mark D Chatfield ◽

Julie Hansen ◽

Sisira Edirippulige ◽

...

Keyword(s):

Systematic Review ◽

Text Messaging ◽

Meta Analysis ◽

Text Message ◽

Behavioural Therapy ◽

Clinical Depression ◽

Treatment Modalities ◽

Controlled Trials ◽

Cochrane Central Register ◽

Services Delivery

Introduction Depression is a leading cause of human disability. Telemedicine-based interventions using text messaging are currently being trialled for the management of community-based clients with clinical depression. However, little is known about the effectiveness of such methods. Methods We searched the databases PubMed, Embase, Informit, Cochrane Central Register of Controlled Trials, PsycINFO and Scopus for randomised controlled trials (RCTs) published between January 2000 and April 2019. Studies comparing text messaging interventions to a comparator group for patients with depression were included in the review. Articles were assessed for quality using the Joanna Briggs Institute critical appraisal checklist for RCTs. Results Nine RCTs (945 patients: 764 adults and 181 adolescents) were included in the systematic review. Five studies used text messaging as the only intervention, whilst the remaining combined text messaging with other treatment modalities such as behavioural activation or cognitive behavioural therapy. A meta-analysis was conducted on seven selected RCTs (845 patients: 664 adults and 181 adolescents). The standardised mean reduction in depression due to text messaging interventions was 0.23 (95% confidence interval: –0.02 to 0.48). There was evidence of heterogeneity in treatment effect between studies. Discussion There is marginal evidence supporting text messaging interventions as an effective treatment modality for people living with clinical depression. However, further research is needed to determine how best to utilise text-message interventions alongside other conventional forms of health services delivery.

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Rapid point-of-care HIV testing in pregnant women: a systematic review and meta-analysis

Tropical Medicine & International Health ◽

10.1111/j.1365-3156.2006.01812.x ◽

2007 ◽

Vol 12 (2) ◽

pp. 162-173 ◽

Cited By ~ 49

Author(s):

Nitika Pant Pai ◽

Jacqueline Peterson Tulsky ◽

Deborah Cohan ◽

John M. Colford ◽

Arthur L. Reingold

Keyword(s):

Systematic Review ◽

Pregnant Women ◽

Hiv Testing ◽

Point Of Care ◽

Meta Analysis

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Are Digital Interventions Effective for Preventing Alcohol Consumption in Pregnancy?: Systematic Review and Meta-Analysis (Preprint)

10.2196/preprints.35554 ◽

2021 ◽

Author(s):

Sarah (So Yeon) Oh ◽

Carol Mita ◽

Doukyoung Chon ◽

Jourdyn Lawrence ◽

Jongyoon Moon ◽

...

Keyword(s):

Systematic Review ◽

Alcohol Consumption ◽

Pregnant Women ◽

Text Messaging ◽

Meta Analysis ◽

Vaccine Uptake ◽

Future Research ◽

P Value ◽

Digital Interventions ◽

In Pregnancy

BACKGROUND Alcohol consumption in pregnancy has been associated with serious fetal health risk and maternal complications. While previous systematic reviews of digital interventions during pregnancy have targeted smoking cessation and flu vaccine uptake, fewer studies have sought to evaluate their effectiveness in preventing alcohol consumption during pregnancy. OBJECTIVE This systematic review aims to assess 1) whether digital interventions are effective in preventing alcohol consumption during the pregnancy/pregnancy-planning period, and 2) the differential effectiveness of alternative digital intervention platforms, i.e., computer, mobile, text messaging. METHODS PubMed, Embase, CINAHL and Web of Science were searched for studies with digital interventions aiming to prevent alcohol consumption among pregnant women or women planning to become pregnant. A random-effects primary meta-analysis was conducted to estimate the combined effect size and extent to which different digital platforms were successful in preventing alcohol consumption in pregnancy. RESULTS Six studies were identified and included in the final review. The primary meta-analysis produced a sample-weighted odds ratio (OR) of 0.62 (95% CI: 0.42-0.91, p-value = 0.0150) in favor of digital interventions decreasing risk of alcohol consumption during pregnancy when compared to controls. Computer/internet-based interventions (OR: 0.59, 95% CI: 0.38-0.93) were an effective platform for preventing alcohol consumption. Too few studies of text messaging (OR: 0.29, 95% CI: 0.29-2.52) were available to draw a conclusion. CONCLUSIONS Overall, our review highlights the potential for digital interventions to prevent alcohol consumption among pregnant women and women planning to become pregnant. Considering the advantages of digital interventions in promoting healthy behavioral changes, future research is necessary to understand how certain platforms may increase user engagement and intervention effectiveness to prevent women from consuming alcohol during their pregnancies. CLINICALTRIAL N/A

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Do mobile phone applications improve glycemic control in the self-management of diabetes: A systematic review, meta-analysis and GRADE of 14 RCTs

Endocrine Abstracts ◽

10.1530/endoabs.43.oc31 ◽

2016 ◽

Author(s):

Ben Carter ◽

Can Hou ◽

Jonathon Hewitt ◽

Trevor Francisa ◽

Sharon Mayor

Keyword(s):

Systematic Review ◽

Glycemic Control ◽

Mobile Phone ◽

Meta Analysis ◽

The Self ◽

Self Management ◽

Mobile Phone Applications

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Comparison of Perinatal Outcomes of Pregnant Women with SARS, MERS and COVID-19: A Systematic Review and Meta-Analysis

SSRN Electronic Journal ◽

10.2139/ssrn.3582809 ◽

2020 ◽

Author(s):

Pengming Sun ◽

Hangjing Gao ◽

Xiqi Huang ◽

Huanrui Zheng ◽

Hongning Cai ◽

...

Keyword(s):

Systematic Review ◽

Pregnant Women ◽

Meta Analysis ◽

Perinatal Outcomes

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Effects of diacerein intake on cardiometabolic profiles in type 2 diabetics: a systematic review and meta-analysis of clinical trials.

Current Medicinal Chemistry ◽

10.2174/0929867327666200728134755 ◽

2020 ◽

Vol 27 ◽

Author(s):

Peyman Nowrouzi-Sohrabi ◽

Reza Tabrizi ◽

Mohammad Jalali ◽

Navid Jamali ◽

Shahla Rezaei ◽

...

Keyword(s):

Systematic Review ◽

Clinical Trials ◽

Body Weight ◽

Total Cholesterol ◽

Ldl Cholesterol ◽

Meta Analysis ◽

Hdl Cholesterol ◽

Cochrane Central Register ◽

Statistical Heterogeneity

Introduction: A systematic review and meta-analysis of clinical trials was undertaken to evaluate the effect of diacerein intake on cardiometabolic profiles in patients with type 2 diabetes mellitus (T2DM). Methods: Electronic databases such as PubMed, EMBASE, Scopus, Web of Science, Google Scholar, and Cochrane Central Register of Controlled Trials were searched from inception to 31 July 2019. Statistical heterogeneity was evaluated using Cochran’s Q test and I-square (I2 ) statistic. Data were pooled using random-effect models and weighted mean difference (WMD). Results: From 1,733 citations, seven clinical trials were eligible for inclusion and meta-analysis. A significant reduction in hemoglobin A1c (HbA1c) (WMD -0.73; 95%CI -1.25 to -0.21; P= 0.006; I2 = 72.2%) and body mass index (BMI) (WMD -0.55; 95%CI -1.03 to -0.07; P= 0.026; I2 = 9.5%) were identified. However, no significant effect of diacerein intake was identified on fasting blood sugar (FBS) (WMD - 9.00; 95%CI -22.57 to 4.57; P= 0.194; I2 = 60.5%), homeostatic model assessment for insulin resistance (HOMA-IR) (WMD 0.39; 95%CI 0.95 to 1.73; P= 0.569; I2 = 2.2%), body weight (WMD -0.54; 95%CI -1.10 to 0.02; P= 0.059), triglycerides (WMD -0.56; 95%CI -24.16 to 23.03; P= 0.963; I2 = 0.0%), total-cholesterol (WMD -0.21; 95%CI -12.19 to 11.78; P= 0.973; I2 = 0.0%), HDL-cholesterol (WMD -0.96; 95%CI -2.85 to 0.93; P= 0.321; I2 = 0.0%), and LDL-cholesterol levels (WMD -0.09; 95%CI -8.43 to 8.25; P= 0.983; I2 = 37.8%). Conclusion: Diacerein intake may reduce HbA1c and BMI; however, no evidence of effect was observed for FBS, HOMA-IR, body weight, triglycerides, total-cholesterol, HDL-cholesterol or LDL-cholesterol.

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