Design systematic review protocol on effectiveness of telemedicine for diabetes management. Help me: 1) Formulate PICO question (Population, Intervention, Comparison, Outcome), 2) Plan comprehensive search strategy (PubMed, Embase, Cochrane, CINAHL), 3) Define inclusion/exclusion criteria, 4) Select quality assessment tool (Cochrane ROB 2.0 for RCTs), 5) Plan data extraction and synthesis, 6) Register protocol on PROSPERO

Prompt
Design systematic review protocol on effectiveness of telemedicine for diabetes management. Help me: 1) Formulate PICO question (Population, Intervention, Comparison, Outcome), 2) Plan comprehensive search strategy (PubMed, Embase, Cochrane, CINAHL), 3) Define inclusion/exclusion criteria, 4) Select quality assessment tool (Cochrane ROB 2.0 for RCTs), 5) Plan data extraction and synthesis, 6) Register protocol on PROSPERO
GeminiGoogle
Design systematic review protocol on effectiveness of telemedicine for diabetes management. Help me: 1) Formulate PICO question (Population, Intervention, Comparison, Outcome), 2) Plan comprehensive search strategy (PubMed, Embase, Cochrane, CINAHL), 3) Define inclusion/exclusion criteria, 4) Select quality assessment tool (Cochrane ROB 2.0 for RCTs), 5) Plan data extraction and synthesis, 6) Register protocol on PROSPERO

This systematic review protocol is designed to provide a comprehensive and transparent plan for evaluating the effectiveness of telemedicine in diabetes management. Following these steps will ensure rigor and reduce bias in the review process.


Systematic Review Protocol: Effectiveness of Telemedicine for Diabetes Management

Protocol Registration: This protocol will be registered with PROSPERO (International Prospective Register of Systematic Reviews) prior to commencing the systematic review process (i.e., before screening studies). The registration number will be included here once obtained.

Review Team:

  • [Your Name/Team Member 1]

  • [Your Name/Team Member 2]

  • [Your Name/Team Member 3 - if applicable, e.g., for arbitration]


Date of Protocol Development: [Current Date]


1. Introduction and Background

Diabetes mellitus is a chronic metabolic disorder affecting millions worldwide, leading to severe complications if not properly managed. Effective management typically involves regular monitoring of blood glucose, medication adherence, lifestyle modifications, and frequent interactions with healthcare providers. Telemedicine, which utilizes telecommunication technologies to provide healthcare services remotely, offers a promising approach to enhance diabetes management, improve access to care, and potentially reduce healthcare costs. This systematic review aims to synthesize the current evidence on the effectiveness of telemedicine interventions for adults with diabetes.

Objectives:
The primary objective of this systematic review is to assess the effectiveness of telemedicine interventions compared to standard care or alternative telemedicine modalities in improving clinical, behavioral, and patient-reported outcomes in adults with diabetes.


2. PICO Question Formulation

PICO Question:
In Population (adults with diagnosed diabetes – Type 1, Type 2, or gestational diabetes), what is the effectiveness of Intervention (telemedicine interventions, e.g., remote monitoring, virtual consultations, mobile health apps, web-based platforms, tele-coaching, or a combination) compared to Comparison (standard diabetes care – e.g., face-to-face consultations, routine self-management education without telemedicine components – or alternative telemedicine modalities), on Outcomes (including glycemic control [HbA1c], blood pressure, lipid profiles, weight management, diabetes-related complications, healthcare utilization, quality of life, and patient satisfaction)?

Breakdown:

  • P (Population): Adults (≥18 years) with diagnosed diabetes (Type 1 Diabetes Mellitus, Type 2 Diabetes Mellitus, or Gestational Diabetes Mellitus).

  • I (Intervention): Telemedicine interventions, broadly defined to include technologies and services that deliver healthcare remotely. Examples include:

  • Remote monitoring (e.g., continuous glucose monitoring [CGM] data transmitted remotely, blood pressure monitoring, weight scales).

  • Virtual consultations (e.g., video calls, secure messaging with healthcare providers).

  • Mobile health (mHealth) applications (e.g., apps for self-management, medication reminders, diet tracking).

  • Web-based platforms (e.g., patient portals, online educational modules).

  • Tele-coaching or tele-education (e.g., remote health coaching, group education sessions via video conference).

  • Phone calls (structured interventions beyond routine check-ups).

  • Hybrid models combining several of these.

  • C (Comparison):

  • Standard/usual diabetes care (e.g., routine face-to-face consultations, conventional self-management education, usual care without specific telemedicine components).

  • Another telemedicine modality (e.g., comparing an app-based intervention to a video-consultation intervention).

  • O (Outcomes):

  • Primary Outcome:

  • Glycemic control (e.g., Glycated Hemoglobin A1c [HbA1c] levels).

  • Secondary Outcomes:

  • Cardiovascular risk factors (e.g., systolic and diastolic blood pressure, LDL cholesterol, HDL cholesterol, triglycerides).

  • Anthropometric measures (e.g., body weight, BMI).

  • Diabetes-related complications (e.g., retinopathy, nephropathy, neuropathy, cardiovascular events, amputations, hypoglycemia incidence).

  • Healthcare utilization (e.g., emergency department visits, hospitalizations, primary care visits, medication changes).

  • Patient-reported outcomes (PROs) such as:

  • Quality of life (QoL).

  • Patient satisfaction with care.

  • Self-efficacy/self-management behaviors.

  • Diabetes distress.

  • Cost-effectiveness (if reported).



3. Comprehensive Search Strategy

The search strategy will be developed systematically using a combination of keywords and controlled vocabulary (e.g., MeSH terms for PubMed, Emtree terms for Embase). It will be adapted for each database's specific syntax.

Databases to be searched:

  • PubMed (MEDLINE)

  • Embase

  • Cochrane Central Register of Controlled Trials (CENTRAL) within The Cochrane Library

  • CINAHL (Cumulative Index to Nursing and Allied Health Literature)

  • Web of Science (Core Collection)

  • Scopus


Search Filters/Limits:
  • Human studies only.

  • English language only.

  • No date restrictions (to capture all available evidence).

  • Randomized Controlled Trials (RCTs) will be prioritized using specific study type filters where available (e.g., "randomized controlled trial" as a publication type or MeSH term).


Key Search Concepts and Example Terms (PubMed format):
  • Population (Diabetes):

  • "Diabetes Mellitus"[Mesh] OR "Diabetes Mellitus, Type 1"[Mesh] OR "Diabetes Mellitus, Type 2"[Mesh] OR "Gestational Diabetes"[Mesh] OR diabetes[tiab] OR diabetic[tiab] OR T1DM[tiab] OR T2DM[tiab] OR GDM[tiab]

  • Intervention (Telemedicine):

  • "Telemedicine"[Mesh] OR "Telehealth"[Mesh] OR "Mobile Applications"[Mesh] OR telemedicine[tiab] OR telehealth[tiab] OR eHealth[tiab] OR mHealth[tiab] OR mobile health[tiab] OR remote monitoring[tiab] OR virtual consultation[tiab] OR teleconsultation[tiab] OR telecoaching[tiab] OR web-based[tiab] OR internet-based[tiab] OR mobile app[tiab] OR app[tiab] OR digital health[tiab] OR remote care[tiab] OR connected health[tiab] OR tele-education[tiab] OR videoconference[tiab] OR SMS[tiab] OR text message[tiab] OR wearable device[tiab]

  • Study Design (RCTs):

  • "Randomized Controlled Trial"[pt] OR "Controlled Clinical Trial"[pt] OR randomized[tiab] OR randomised[tiab] OR RCT[tiab] OR trial[tiab]


Combined Search String Example (PubMed):

( ("Diabetes Mellitus"[Mesh] OR "Diabetes Mellitus, Type 1"[Mesh] OR "Diabetes Mellitus, Type 2"[Mesh] OR "Gestational Diabetes"[Mesh] OR diabetes[tiab] OR diabetic[tiab] OR T1DM[tiab] OR T2DM[tiab] OR GDM[tiab]) )
AND
( ("Telemedicine"[Mesh] OR "Telehealth"[Mesh] OR "Mobile Applications"[Mesh] OR telemedicine[tiab] OR telehealth[tiab] OR eHealth[tiab] OR mHealth[tiab] OR "mobile health"[tiab] OR "remote monitoring"[tiab] OR "virtual consultation"[tiab] OR teleconsultation[tiab] OR telecoaching[tiab] OR "web-based"[tiab] OR "internet-based"[tiab] OR "mobile app"[tiab] OR app[tiab] OR "digital health"[tiab] OR "remote care"[tiab] OR "connected health"[tiab] OR "tele-education"[tiab] OR videoconference[tiab] OR SMS[tiab] OR "text message"[tiab] OR "wearable device"[tiab]) )
AND
( ("Randomized Controlled Trial"[pt] OR "Controlled Clinical Trial"[pt] OR randomized[tiab] OR randomised[tiab] OR RCT[tiab] OR trial[tiab]) )

Additional Search Methods:

  • Reference lists of included studies and relevant systematic reviews will be screened for additional eligible studies.

  • Key journals in the field (e.g., Diabetes Care, Journal of Medical Internet Research, Telemedicine and e-Health) will be hand-searched if initial searches yield limited results.



4. Inclusion and Exclusion Criteria

Types of Studies:

  • Included: Randomized Controlled Trials (RCTs).

  • Excluded: Quasi-RCTs, non-randomized studies (e.g., cohort studies, case-control studies, observational studies, qualitative studies), reviews, editorials, commentaries, conference abstracts without full text, protocols without results, animal studies, in vitro studies.


Types of Participants:
  • Included: Adults (≥18 years old) with a formal diagnosis of any type of diabetes (Type 1, Type 2, or gestational diabetes).

  • Excluded: Children/adolescents (<18 years), individuals without a diabetes diagnosis, healthy volunteers, participants with only pre-diabetes.


Types of Interventions:
  • Included: Telemedicine interventions (as broadly defined in the PICO question, e.g., remote monitoring, virtual consultations, mobile health apps, web-based platforms, tele-coaching, or a combination). The intervention must have a clear telemedicine component aimed at diabetes management.

  • Excluded: Interventions primarily focused on general health promotion without specific diabetes management, face-to-face interventions only, or interventions where the telemedicine component is not clearly described or is negligible.


Types of Comparators:
  • Included: Standard/usual diabetes care (e.g., routine face-to-face consultations, conventional self-management education, usual care without specific telemedicine components) OR alternative telemedicine modalities.

  • Excluded: No comparison group (e.g., uncontrolled before-and-after studies).


Types of Outcomes:
  • Included: Studies reporting at least one primary outcome (HbA1c) or any of the specified secondary outcomes.

  • Excluded: Studies that only report process measures (e.g., number of logins) without clinical or patient-reported outcomes.


Language: English only.

Publication Status: Peer-reviewed journal articles.


5. Study Selection Process


  • De-duplication: All search results will be imported into a reference management software (e.g., EndNote, Zotero, Rayyan) and duplicates will be removed.

  • Title and Abstract Screening: Two independent reviewers will screen the titles and abstracts of all identified records against the inclusion and exclusion criteria. Records clearly not meeting the criteria will be excluded. Any discrepancies will be resolved by discussion between the two reviewers or, if necessary, by a third reviewer.

  • Full-Text Screening: The full text of potentially eligible articles will be retrieved. Two independent reviewers will then critically assess these articles against the inclusion and exclusion criteria. Reasons for exclusion at the full-text stage will be recorded. Discrepancies will be resolved by discussion or by a third reviewer.

  • Reporting: A PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram will be used to illustrate the study selection process.



6. Quality Assessment (Risk of Bias)

The methodological quality and risk of bias of all included Randomized Controlled Trials (RCTs) will be independently assessed by two reviewers using the Cochrane Risk of Bias tool for Randomized Trials (RoB 2.0).

RoB 2.0 Domains:
The tool assesses bias across five domains:

  • Bias arising from the randomization process.

  • Bias due to deviations from intended interventions (effect of assignment to intervention).

  • Bias due to missing outcome data.

  • Bias in measurement of the outcome.

  • Bias in selection of the reported result.


Assessment Process:
  • For each domain, studies will be categorized as "low risk of bias," "some concerns," or "high risk of bias."

  • Discrepancies between reviewers will be resolved through discussion or, if consensus cannot be reached, by a third reviewer.

  • The results of the risk of bias assessment will be presented in tables and graphs within the review and will be considered during data synthesis and interpretation.



7. Data Extraction and Synthesis

Data Extraction:
A standardized, pre-piloted data extraction form will be used to extract relevant information from the included studies. Two independent reviewers will extract data, and discrepancies will be resolved by discussion or by a third reviewer.
The following data will be extracted:

  • Study Characteristics: Author(s), year of publication, country, study design, funding source, duration of intervention and follow-up.

  • Participant Characteristics: Total number of participants, age (mean/SD), gender distribution, type of diabetes (Type 1, Type 2, GDM), duration of diabetes, baseline HbA1c, comorbidities, inclusion/exclusion criteria.

  • Intervention Details: Specific type of telemedicine intervention (e.g., app, video, remote monitoring), components (e.g., education, feedback, coaching), frequency and duration of interaction, personnel involved, technology used.

  • Comparator Details: Description of standard care or alternative telemedicine intervention.

  • Outcome Data:

  • For continuous outcomes (e.g., HbA1c, blood pressure, weight): Mean and standard deviation (or median and interquartile range) at baseline and end-of-intervention/follow-up, or mean change from baseline for both intervention and control groups.

  • For dichotomous outcomes (e.g., incidence of complications): Number of events and total participants in each group.

  • Time points of outcome assessment.

  • Measures of effect (if reported by study, e.g., confidence intervals).

  • Risk of Bias Assessment: Summary of RoB 2.0 findings for each study.


Data Synthesis:
  • Qualitative (Narrative) Synthesis:

  • If meta-analysis is not appropriate due to substantial clinical or methodological heterogeneity, a narrative synthesis will be conducted. This will involve describing the characteristics of included studies, interventions, populations, and outcomes, highlighting similarities and differences.

  • The narrative will systematically group studies based on key characteristics (e.g., type of telemedicine, type of diabetes, duration of intervention) to identify patterns and potential explanations for observed effects.

  • Quantitative Synthesis (Meta-analysis):

  • If studies are sufficiently homogeneous in terms of PICO elements and outcome measures, a meta-analysis will be performed using RevMan (Review Manager) software or R statistical software.

  • Measures of Effect:

  • For continuous outcomes (e.g., HbA1c, blood pressure, weight): Mean Difference (MD) or Standardized Mean Difference (SMD) will be calculated with 95% confidence intervals (CI). MD will be used when outcomes are measured on the same scale; SMD will be used when outcomes are measured on different scales.

  • For dichotomous outcomes (e.g., complications, hospitalizations): Risk Ratios (RR) or Odds Ratios (OR) will be calculated with 95% CI.

  • Heterogeneity: Statistical heterogeneity will be assessed using the I² statistic (quantifying the proportion of total variation across studies due to heterogeneity rather than chance) and the Chi-squared test (with p < 0.10 indicating significant heterogeneity).

  • If I² < 40%, heterogeneity is considered low, and a fixed-effect model may be used.

  • If I² ≥ 40%, heterogeneity is considered substantial, and a random-effects model will be used, as it accounts for both within-study and between-study variance.

  • Subgroup Analysis: If sufficient data are available, subgroup analyses will be conducted to explore potential sources of heterogeneity based on:

  • Type of diabetes (Type 1 vs. Type 2 vs. Gestational).

  • Specific telemedicine modality (e.g., app-based vs. video consultations vs. remote monitoring).

  • Duration of intervention (<6 months vs. 6-12 months vs. >12 months).

  • Baseline HbA1c levels (e.g., controlled vs. uncontrolled).

  • Geographic region/healthcare setting.

  • Sensitivity Analysis: To assess the robustness of the findings, sensitivity analyses will be performed by:

  • Excluding studies with high risk of bias.

  • Excluding studies with small sample sizes.

  • Excluding studies funded by industry.

  • Publication Bias: Funnel plots and Egger's test (if there are at least 10 studies in a meta-analysis) will be used to assess potential publication bias.



8. Registration on PROSPERO

This protocol will be registered with PROSPERO (International Prospective Register of Systematic Reviews) prior to the commencement of screening studies. The registration number will be obtained and included in the final review. Registering the protocol ensures transparency, reduces duplication of efforts, and allows for public access to the planned review methodology. Any significant deviations from this protocol will be documented and justified in the final systematic review report.


Reporting Guidelines:
This systematic review will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for reporting.


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GrokxAI
Design systematic review protocol on effectiveness of telemedicine for diabetes management. Help me: 1) Formulate PICO question (Population, Intervention, Comparison, Outcome), 2) Plan comprehensive search strategy (PubMed, Embase, Cochrane, CINAHL), 3) Define inclusion/exclusion criteria, 4) Select quality assessment tool (Cochrane ROB 2.0 for RCTs), 5) Plan data extraction and synthesis, 6) Register protocol on PROSPERO

Below is a structured design for a systematic review protocol on the effectiveness of telemedicine for diabetes management. This follows standard guidelines (e.g., PRISMA-P for protocols) to ensure transparency, reproducibility, and rigor. I've addressed each of your requested elements step by step.

1. PICO Question Formulation


The PICO framework helps define the review's scope clearly and precisely. Based on the topic, here's a formulated question:
  • Population (P): Adults (aged 18 years or older) diagnosed with type 1 or type 2 diabetes mellitus, managed in community or outpatient settings (excluding pediatric populations, pregnant women, or inpatient hospital settings to focus on chronic outpatient management).

  • Intervention (I): Telemedicine interventions, defined as remote delivery of diabetes care using digital technologies (e.g., teleconsultations, remote monitoring of glucose levels via apps/devices, virtual education sessions, or integrated telehealth platforms). This includes synchronous (real-time video/audio) or asynchronous (store-and-forward) modalities.

  • Comparison (C): Standard in-person diabetes care (e.g., usual clinic visits, face-to-face consultations) or no telemedicine intervention. If no direct comparison, studies with pre-post designs may be considered for exploratory analysis.

  • Outcome (O): Primary: Glycemic control (measured by HbA1c levels, with a clinically meaningful change of ≥0.5% reduction). Secondary: Patient-reported outcomes (e.g., quality of life via SF-36 or EQ-5D), adherence to self-management (e.g., medication or diet compliance), healthcare utilization (e.g., hospitalizations, emergency visits), and adverse events (e.g., hypoglycemia incidence).


Overall PICO Question: In adults with type 1 or type 2 diabetes (P), does telemedicine (I) compared to standard in-person care (C) improve glycemic control (HbA1c) and other clinical outcomes (O)?

This question is specific yet broad enough to capture relevant evidence while allowing for subgroup analyses (e.g., by diabetes type, telemedicine modality, or follow-up duration ≥6 months).

2. Comprehensive Search Strategy


The search will be comprehensive, systematic, and peer-reviewed (e.g., via a librarian) to minimize bias and ensure coverage of biomedical literature. Databases include PubMed (for broad biomedical coverage), Embase (for international and pharmacological focus), Cochrane Library (for high-quality reviews and trials), and CINAHL (for nursing and allied health perspectives on chronic care). No language restrictions initially, but non-English studies will be translated if feasible; date range: January 2000 to present (to capture the rise of digital health post-early 2000s).
  • Search Components:

  • Terms for Population: "diabetes mellitus" OR "type 1 diabetes" OR "type 2 diabetes" OR "diabetic patient*".

  • Terms for Intervention: "telemedicine" OR "telehealth" OR "telediabetes" OR "remote monitoring" OR "virtual consultation" OR "e-health" OR "m-health" OR "mobile health" OR "teleconsultation" OR "video consult" OR "telemonitoring" OR "remote glucose monitoring".

  • Terms for Comparison/Outcome: No explicit terms needed for comparison; for outcomes, include "HbA1c" OR "glycemic control" OR "blood glucose" OR "diabetes management" OR "self-management" OR "adherence" OR "quality of life" OR "hospitalization*".

  • Combine with Boolean operators: (Population terms) AND (Intervention terms) AND (Outcome terms). Use MeSH/Emtree subject headings (e.g., MeSH: "Telemedicine", "Diabetes Mellitus"; Emtree: "telemedicine", "diabetes mellitus") and free-text synonyms with truncation (e.g., consult*).

  • Database-Specific Strategies (examples; full syntax to be adapted in each database):

  • PubMed: ("Diabetes Mellitus"[Mesh] OR diabetes) AND ("Telemedicine"[Mesh] OR telehealth OR telerne*) AND ("Hemoglobin A, Glycosylated"[Mesh] OR "glycemic control" OR HbA1c) NOT "child"[Mesh] Filters: Humans, English (initially).

  • Embase: ('diabetes mellitus'/exp OR diabet) AND ('telemedicine'/exp OR telehealth OR remote monitor*) AND ('glycosylated hemoglobin'/exp OR 'glycemic control' OR hba1c) NOT 'child'/exp.

  • Cochrane Library: Search within Cochrane Database of Systematic Reviews and CENTRAL: #1 diabetes; #2 telemedicine OR telehealth OR remote; #3 #1 AND #2 (limit to trials).

  • CINAHL: (MH "Diabetes Mellitus+") OR diabet AND (MH "Telehealth" OR MH "Telenursing" OR tele) AND (MH "Hemoglobin A1C" OR glycemic OR HbA1c).

  • Additional Sources: Gray literature (e.g., Google Scholar, WHO trials registry, clinicaltrials.gov); hand-searching reference lists of included studies and relevant reviews; forward citation tracking via Scopus or Web of Science. Total expected yield: 1,000–2,000 records, deduplicated using EndNote or Covidence software.

  • Search Execution: Two reviewers independently run searches; update search before final analysis if >12 months from protocol.


3. Inclusion and Exclusion Criteria


Criteria will be applied at title/abstract and full-text stages by two independent reviewers, with discrepancies resolved by a third. Use a priori definitions to ensure consistency.
  • Inclusion Criteria:

  • Study Design: Randomized controlled trials (RCTs) or quasi-experimental studies (e.g., controlled before-after) evaluating effectiveness; systematic reviews for reference mining but not for synthesis.

  • Population: Matches PICO (adults with type 1/2 diabetes; ≥50% diabetes patients if mixed cohorts).

  • Intervention: Clearly defined telemedicine as primary intervention, with ≥3 months follow-up.

  • Comparison: Standard care or waitlist/no intervention.

  • Outcomes: Reports at least one primary (HbA1c) or secondary outcome.

  • Publication: Peer-reviewed, 2000–present; any language.

  • Exclusion Criteria:

  • Study Design: Observational (e.g., cohort, case-control without control group), case reports, qualitative studies, or protocols without results.

  • Population: <18 years, gestational diabetes, non-diabetes chronic conditions only, or inpatient/acute care focus.

  • Intervention: Non-telemedicine (e.g., only in-person apps or SMS without remote clinician interaction); combined interventions where telemedicine <50% of focus.

  • Outcomes: No quantitative data on PICO outcomes; only cost-effectiveness (to be addressed in a separate economic review if needed).

  • Other: Animal studies, duplicates, or retracted publications.


Expected number of included studies: 20–50, based on prior scoping.

4. Quality Assessment Tool


Given the focus on effectiveness and likely predominance of RCTs, the Cochrane Risk of Bias 2.0 (RoB 2.0) tool will be used for primary assessment. This is the gold standard for RCTs, evaluating five domains: (1) bias from randomization, (2) deviations from intended interventions, (3) missing outcome data, (4) outcome measurement, and (5) selection of reported results. Each study receives an overall risk judgment (low, some concerns, high).
  • Application: Two reviewers independently assess each included study using the RoB 2.0 Excel template from Cochrane. Disagreements resolved by consensus or third reviewer. For non-RCTs (if any), supplement with ROBINS-I (Risk Of Bias In Non-randomized Studies - of Interventions).

  • Thresholds for Synthesis: Studies with high RoB will be sensitivity-tested (e.g., excluded in meta-analysis) but included in narrative synthesis.

  • Other Considerations: Publication bias assessed via funnel plots/Egger's test if ≥10 studies; heterogeneity via I² statistic.


5. Plan for Data Extraction and Synthesis


Data extraction and synthesis will be rigorous, using standardized tools to ensure reliability.
  • Data Extraction:

  • Two independent reviewers extract data using a piloted form (e.g., in Covidence or Excel), covering: study characteristics (author, year, design, sample size, setting); participant details (age, diabetes type, baseline HbA1c); intervention details (modality, frequency, duration); comparison; outcomes (means/SDs for HbA1c, secondary measures at 3–6 and ≥12 months); funding sources; and risks of bias.

  • For dichotomous outcomes (e.g., hypoglycemia events), extract odds ratios (OR) or risk ratios (RR); for continuous (e.g., HbA1c), mean differences (MD) or standardized MD (SMD).

  • Contact authors for missing data (e.g., up to two attempts via email).

  • Data Synthesis:

  • Narrative Synthesis: If heterogeneity precludes meta-analysis (e.g., I² >50% or diverse interventions), summarize findings thematically (e.g., by outcome, subgroup: type 1 vs. 2 diabetes, synchronous vs. asynchronous telemedicine) using harvest plots or summary of findings table (GRADE approach for evidence quality: high/moderate/low/very low based on RoB, inconsistency, imprecision, etc.).

  • Quantitative Synthesis (Meta-Analysis): If ≥3 homogeneous studies, use random-effects model in RevMan 5.4 or R (meta package). Primary analysis: MD for HbA1c change; subgroup by follow-up duration and intervention type. Forest plots for visualization; 95% CIs reported. Assess heterogeneity (τ², I²) and publication bias.

  • **Sub

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MistralMistral AI
Design systematic review protocol on effectiveness of telemedicine for diabetes management. Help me: 1) Formulate PICO question (Population, Intervention, Comparison, Outcome), 2) Plan comprehensive search strategy (PubMed, Embase, Cochrane, CINAHL), 3) Define inclusion/exclusion criteria, 4) Select quality assessment tool (Cochrane ROB 2.0 for RCTs), 5) Plan data extraction and synthesis, 6) Register protocol on PROSPERO

Sure, let's break down each step to design a systematic review protocol on the effectiveness of telemedicine for diabetes management.

1. Formulate PICO Question


PICO Question:
  • Population: Adults (18 years and older) with type 1 or type 2 diabetes.

  • Intervention: Telemedicine interventions (e.g., video consultations, remote monitoring, mobile health applications).

  • Comparison: Standard in-person care or usual care.

  • Outcome: Primary outcomes: HbA1c levels, blood glucose control. Secondary outcomes: patient satisfaction, healthcare utilization, cost-effectiveness, quality of life.


2. Plan Comprehensive Search Strategy


Search Strategy:
  • Databases: PubMed, Embase, Cochrane Library, CINAHL.

  • Search Terms:

  • Population: "diabetes mellitus," "type 1 diabetes," "type 2 diabetes."

  • Intervention: "telemedicine," "telehealth," "remote monitoring," "video consultation," "mobile health," "mHealth," "eHealth."

  • Comparison: "standard care," "usual care," "in-person care."

  • Outcome: "HbA1c," "blood glucose," "patient satisfaction," "healthcare utilization," "cost-effectiveness," "quality of life."


Example Search String for PubMed:
("diabetes mellitus"[MeSH Terms] OR "type 1 diabetes"[MeSH Terms] OR "type 2 diabetes"[MeSH Terms]) AND ("telemedicine"[MeSH Terms] OR "telehealth"[MeSH Terms] OR "remote monitoring"[MeSH Terms] OR "video consultation"[MeSH Terms] OR "mobile health"[MeSH Terms] OR "mHealth"[MeSH Terms] OR "eHealth"[MeSH Terms]) AND ("standard care"[MeSH Terms] OR "usual care"[MeSH Terms] OR "in-person care"[MeSH Terms]) AND ("HbA1c"[MeSH Terms] OR "blood glucose"[MeSH Terms] OR "patient satisfaction"[MeSH Terms] OR "healthcare utilization"[MeSH Terms] OR "cost-effectiveness"[MeSH Terms] OR "quality of life"[MeSH Terms])

3. Define Inclusion/Exclusion Criteria


Inclusion Criteria:
  • Study Design: Randomized controlled trials (RCTs).

  • Population: Adults (18 years and older) with type 1 or type 2 diabetes.

  • Intervention: Telemedicine interventions.

  • Comparison: Standard in-person care or usual care.

  • Outcomes: HbA1c levels, blood glucose control, patient satisfaction, healthcare utilization, cost-effectiveness, quality of life.

  • Language: English.

  • Publication Date: Last 10 years.


Exclusion Criteria:
  • Study Design: Non-RCTs, case reports, reviews, editorials.

  • Population: Children, adolescents, pregnant women.

  • Intervention: Non-telemedicine interventions.

  • Comparison: No comparison group.

  • Outcomes: Studies not reporting relevant outcomes.

  • Language: Non-English.

  • Publication Date: Older than 10 years.


4. Select Quality Assessment Tool


Quality Assessment Tool:
  • Cochrane Risk of Bias Tool 2.0 (ROB 2.0) for RCTs: This tool will be used to assess the risk of bias in the included RCTs.


5. Plan Data Extraction and Synthesis


Data Extraction:
  • Study Characteristics: Author, year, country, study design, sample size.

  • Population Characteristics: Age, gender, type of diabetes.

  • Intervention Details: Type of telemedicine, duration, frequency.

  • Comparison Details: Description of standard care.

  • Outcomes: HbA1c levels, blood glucose control, patient satisfaction, healthcare utilization, cost-effectiveness, quality of life.

  • Risk of Bias: Assessment using Cochrane ROB 2.0.


Data Synthesis:
  • Qualitative Synthesis: Narrative synthesis of the findings.

  • Quantitative Synthesis: Meta-analysis if sufficient data are available and studies are homogeneous.

  • Subgroup Analysis: By type of diabetes, type of telemedicine intervention, duration of intervention.

  • Sensitivity Analysis: To assess the robustness of the findings.


6. Register Protocol on PROSPERO


Registration:
  • Title: Effectiveness of Telemedicine for Diabetes Management: A Systematic Review and Meta-Analysis.

  • Objective: To evaluate the effectiveness of telemedicine interventions compared to standard in-person care for diabetes management.

  • Methods: Detailed description of the search strategy, inclusion/exclusion criteria, quality assessment, data extraction, and synthesis.

  • Outcomes: Primary and secondary outcomes as defined.

  • Timeline: Expected completion date.

  • Funding: Any funding sources.

  • Ethics and Dissemination: Ethical considerations and plans for dissemination of the findings.


Submission:
  • Submit the protocol to PROSPERO (International Prospective Register of Systematic Reviews) for registration.


By following these steps, you will have a comprehensive and systematic protocol for your review on the effectiveness of telemedicine for diabetes management.

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Analysis

This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:

Response Characteristics

Gemini: Provides a direct response with 214 sentences.

Grok: Provides a direct response with 117 sentences.

Mistral: Provides a direct response with 56 sentences.

Key Takeaways

  • Each model brings unique strengths to this type of query
  • Response styles vary significantly between models
  • Consider your specific use case when choosing between these models

Try This Comparison Yourself

Want to test these models with your own prompts? Visit SNEOS.com to compare AI responses side-by-side in real-time.


This comparison was generated using the SNEOS AI Comparison ToolPublished: October 15, 2025 | Models: Gemini, Grok, Mistral