Process Evaluation in Health Communication Media Campaigns: A Systematic Review

2021 ◽  
pp. 089011712110522
Author(s):  
Hannah Getachew-Smith ◽  
Andy J. King ◽  
Charlotte Marshall ◽  
Courtney L. Scherr
Keyword(s):  
Systematic Review ◽  
Health Communication ◽  
Process Evaluation ◽  
Best Practice ◽  
Data Extraction ◽  
Evaluation Methods ◽  
Communication Media ◽  
Media Campaign ◽  
Exclusion Criteria ◽  
Media Campaigns

Objective. The objective is to examine the scope of health communication media campaign process evaluation methods, findings, and dissemination practices. Data Source. A systematic review of peer-reviewed literature was conducted using database searches. Study Inclusion and Exclusion Criteria. Published studies on process and implementation evaluation of health campaigns with a media component were included. Exclusion criteria included not health, non-empirical, no media campaign, or a focus on other evaluation types. Data Extraction. Articles were assessed for general campaign information, theory use, and details about process evaluation plan and procedures. Data Synthesis. A coding scheme based on 9 process evaluation best practice elements (e.g., fidelity and context) was applied. Process evaluation methods, measures, and reporting themes were synthesized. Results. Among 691 unique records, 46 articles were included. Process evaluation was the main focus for 71.7% of articles, yet only 39.1% reported how process evaluation informed campaign implementation strategy. Articles reported 4.39 elements on average ( SD = 1.99; range 1–9), with reach (87.0%) and recruitment (73.9%) described most frequently, yet reporting was inconsistent. Further, the level of detail in reporting methods, theory, and analysis varied. Conclusions. Process evaluation provides insight about mechanisms and intervening variables that could meaningfully impact interpretations of outcome evaluations; however, process evaluations are less often included in literature. Recommendations for evidence-based process evaluation components to guide evaluation are discussed.

KEEFEKTIFAN MEDIA KOMUNIKASI VISUAL SEBAGAI PENUNJANG PROMOSI PADA PERGURUAN TINGGI RAHARJA

CCIT Journal ◽  
2015 ◽  
Vol 9 (1) ◽  
pp. 77-86
Author(s):  
Lusyani Sunarya ◽  
Po Abas Sunarya ◽  
Jasmine Dara Assyifa
Keyword(s):  
Visual Communication ◽  
Communication Media ◽  
Media Campaign ◽  
Prospective Students ◽  
Media Campaigns ◽  
Great Opportunity ◽  
Information And Communication ◽  
The Media ◽  
Fierce Competition ◽  
The University

The development of visual communication media at this time is very helpful in supporting information and communication. But often presented visual communication  media  are  less  effective  and appropriate. While so many universities in Indonesia, the increasingly fierce competition in attracting new students. Media Visual Communication can be applied to college in introducing or raising the image and popularity or promote and provide information to prospective students. In essence, in this case the effectiveness of media campaigns assessed in spreading information, influence or persuade prospective students and new student to join the university. The method used by the questionnaires to assess the effectiveness of implemented that have been implemented such as  brochures,  banners, posters, billboards, catalogs, paper bag,  flyers  and  merchandise.  In  conclusion,  this  article specifically assess visual communication media from case studies in Perguruan Tinggi Raharja considered effective and consistent contribution.. This study found a great opportunity to improve the promotion of additional digital marketing media campaign called the college through the  stages resulting in some visual communication media that can be received by the target audience. To create a media campaign needs planning in accordance with the background of the problem so that the media are made to overcome the problems encountered

scholarly journals Forensic facial reconstruction using CBCT – A systematic review

2021 ◽  
Author(s):  
JIJIN MEKKADATH JAYAKRISHNAN
Keyword(s):  
Systematic Review ◽  
3D Modeling ◽  
Diagnostic Tool ◽  
Full Text ◽  
Data Extraction ◽  
Modeling Method ◽  
Facial Reconstruction ◽  
Combination Method ◽  
Human Face ◽  
Exclusion Criteria

Abstract Objectives This systematic review evaluated whether CBCT is a better diagnostic tool in facial forensic reconstruction. Forensic facial reconstruction is a technique to reconstruct human face from unidentified face from skull remains for human identification and facial recognition. Materials and methods Article selection and data extraction was done based on the inclusion and exclusion criteria devised for the study. The articles were screened from PubMed, ProQuest, Google scholar, Science direct and Scopus. Result Three hundred and thirty-nine articles were initially identified from which seven articles were full text reviewed and included in the review. All the articles included in this study suggest that the facial reconstruction done using CBCT are reliable. Conclusion The computerized 3D modeling method produces reliable facial reconstructions which involves the images scanned from CBCT and the combination method. The computerized 3D modeling method produces facial reconstruction which almost mimics the original resemblance.

scholarly journals A Systematic Review to Determine Best Practice Reporting Guidelines for AFO Interventions in Studies Involving Children with Cerebral Palsy

2010 ◽  
Vol 34 (2) ◽  
pp. 129-145 ◽  
Author(s):  
Emily Ridgewell ◽  
Fiona Dobson ◽  
Timothy Bach ◽  
Richard Baker
Keyword(s):  
Systematic Review ◽  
Cerebral Palsy ◽  
Best Practice ◽  
Data Extraction ◽  
Evidence Base ◽  
Gait Pattern ◽  
Best Practice Guidelines ◽  
Sufficient Detail ◽  
Children With Cerebral Palsy

Studies which have examined the effects of ankle-foot orthoses (AFOs) on children with cerebral palsy (CP) often report insufficient detail about the participants, devices and testing protocols. The aim of this systematic review was to evaluate the level and quality of detail reported about these factors in order to generate best practice guidelines for reporting of future studies. A systematic search of the literature was conducted to identify studies which examined any outcome measure relating to AFO use in children with CP. A customized checklist was developed for data extraction and quality assessment. There was substantial variability in the level and quality of detail reported across the 41-paper yield. Many papers reported insufficient detail to allow synthesis of outcomes across studies. The findings of this review have been used to generate guidelines for best practice of reporting for AFO intervention studies. It is important to ensure homogeneity of gait pattern in a subject sample or to subdivide a sample to investigate the possibility that heterogeneity affected results. It is also important to describe the orthosis in sufficient detail that the device can be accurately replicated because differences in designs have been shown to affect outcomes. These guidelines will help researchers provide more systematic and detailed reports and thereby permit future reviewers to more accurately assess both the reporting and quality of orthotic interventions, and will facilitate synthesis of literature to enhance the evidence base.

scholarly journals Difficulties in resuscitating adult skeletal injury and trauma: a systemic review

2017 ◽  
Vol 4 (10) ◽  
pp. 3206
Author(s):  
Turki Abdullah S. Al-ajmi ◽  
Abdullah Salah Al-hussain ◽  
Mohammed Fuad Al-Abdulqader
Keyword(s):  
Systematic Review ◽  
Functional Outcomes ◽  
Data Extraction ◽  
Systemic Review ◽  
Trauma Resuscitation ◽  
Exclusion Criteria ◽  
Factors Affecting ◽  
Skeletal Injury ◽  
Second Stage ◽  
Critical Aspects

Background: Trauma resuscitations are complicated, high-risk, and time-sensitive actions that need the coordination of different specialists arriving from multiple areas in the hospital. This systematic review aimed to understand the main key challenges of trauma resuscitations using a broad search in various database.Methods: A systematic review of published articles between the years 2000 and 2016 was conducted using different electronic databases such as PubMed, Medline and Embase to identify studies evaluating trauma resuscitations challenges. Different keywords were used in this study to recognize relevant articles. The titles of all articles were scanned in the first stage. Irrelevant articles were omitted and the abstracts of the rest articles were reviewed in the second stage. Finally, the full text of all articles which met the inclusion and exclusion criteria were reviewed and a data extraction sheet was made to summarize all the articles. Data were analyzed descriptively.Results: Twenty studies were reviewed including; RCT (3 studies), QRCT (5 studies), and descriptive study (12 studies). The results showed that there are four main trauma resuscitation challenges including pre-hospital challenges, error-related challenges, equipment and technical challenges, and finally general challenges.Conclusions: Trauma resuscitation is one of the most critical aspects of emergency care. It is necessary to promote resuscitation care and focus on patient outcomes in terms of mortality and more importantly, functional outcomes. Considering these main factors affecting trauma resuscitation will improve patients’ outcomes and help those who are engaged in providing services.

scholarly journals Mass media campaigns to reduce unnecessary caesarean sections: a systematic review

2020 ◽  
Vol 5 (2) ◽  
pp. e001935 ◽  
Author(s):  
Maria Regina Torloni ◽  
Vanessa Brizuela ◽  
Ana Pilar Betran
Keyword(s):  
Systematic Review ◽  
Mass Media ◽  
Health Communication ◽  
Media Campaigns ◽  
Lay People ◽  
Specific Objective ◽  
Global Health Issue ◽  
Registration Number ◽  
Text Reading ◽  
Communication Interventions

IntroductionThe worldwide increase in unnecessary caesarean sections (CSs) is a major global health issue. Mass media campaigns have been used in several countries to reduce this trend. The objectives of this systematic review were to identify, critically appraise and synthesise the findings, including the barriers and enablers, of mass media campaigns directed at lay people to reduce unnecessary CS.MethodsWe included any study design that reported health communication mass media campaigns directed at lay people with the specific objective of reducing unnecessary CS, created by any agent, in any format. We searched seven electronic databases without language restrictions, from inception to February 2019. Experts in the field were contacted.ResultsThe search yielded 14 320 citations; 50 were selected for full-text reading; and one was included. Six other reports were included. The seven campaigns were conducted in 2009–2017, mostly in Latin America. Most campaigns were independent efforts by non-governmental or activist organisations. Only one campaign conducted formative research and pretested the intervention. All campaigns used indirect communication, mostly through internet channels; two campaigns also used direct communication with the public. None assessed their effects on CS rates. Only two campaigns measured their impacts on participants’ knowledge, attitudes and birth preferences but only in the short term. The main barriers were lack of financial and human resources. The main enablers were the enthusiasm of volunteers, the participation of famous persons/celebrities and the involvement of communication professionals.ConclusionsThere are few mass media campaigns directed at lay people to reduce CS. Most campaigns did not use key principles recommended for the creation and implementation of health communication interventions, and none assessed their effects in reducing CS rates. If media campaigns can play a role in modifying population views towards CS, there is a need for more rigorous studies including impact assessment.PROSPERO registration numberCRD42019120314.

scholarly journals Efficacy of pressure ulcer prevention interventions in adult intensive care units: a protocol for a systematic review and network meta-analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e026727 ◽  
Author(s):  
Yixiu Du ◽  
Fangqin Wu ◽  
Sai Lu ◽  
Wei Zheng ◽  
Huiying Wang ◽  
...  
Keyword(s):  
Systematic Review ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Best Practice ◽  
Data Extraction ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Prevention Measures ◽  
Prevention Intervention ◽  
Prevention Interventions

IntroductionPressure ulcers (PUs) are associated with substantial health burden. Patients in intensive care units (ICUs) are at high risk for developing PU. In the absence of large randomised controlled trials (RCTs) that compare commonly known interventions for preventing PU in ICUs, uncertainty remains around the best practice strategy for PU management in adult ICUs. This study, therefore, aims to identify the most effective interventions and combinations of interventions that prevent PU in adult ICU using systematic review and network meta-analysis (NMA).Methods and analysisWe will search for all published and unpublished RCTs evaluating interventions to prevent PU compared with other PU prevention measures or with usual care in adult ICU. The primary outcomes are the incidence of PUs and PU severity in critically ill patients in ICU. The secondary outcomes include number of PUs per patient and intervention-related harms caused by the prevention intervention or intervention-related harms. All data extraction will be performed by at least two independent reviewers on the basis of a priori developed extraction form. We will evaluate the risk of bias of the included RCTs in accordance with the Cochrane Collaboration’s risk of bias tool, and assess the quality of evidence using Grading of Recommendations Assessment, Development and Evaluation. A standard pairwise meta-analysis and a Bayesian NMA will be conducted to compare the efficacy of different PU prevention interventions. A surface under the cumulative ranking curve will be used to rank the probabilities of each prevention intervention for various outcomes.Ethics and disseminationThis study will not require the ethics approval as it is a review based on published studies. The findings of this study will be submitted to a peer-reviewed journal for publication. We anticipate that the results of the study will provide the evidence to inform clinicians and guideline developers on determining the best interventions for the prevention of PU in ICU patients.PROSPERO registration numberCRD42018085562.

scholarly journals A systematic review on AI/ML approaches against COVID-19 outbreak

2021 ◽  
Author(s):  
Onur Dogan ◽  
Sanju Tiwari ◽  
M. A. Jabbar ◽  
Shankru Guggari
Keyword(s):  
Artificial Intelligence ◽  
Patient Outcome ◽  
Systematic Review ◽  
Outcome Prediction ◽  
Vaccine Development ◽  
Data Extraction ◽  
Exclusion Criteria ◽  
Comprehensive Review ◽  
Research Questions ◽  
Review Study

AbstractA pandemic disease, COVID-19, has caused trouble worldwide by infecting millions of people. The studies that apply artificial intelligence (AI) and machine learning (ML) methods for various purposes against the COVID-19 outbreak have increased because of their significant advantages. Although AI/ML applications provide satisfactory solutions to COVID-19 disease, these solutions can have a wide diversity. This increase in the number of AI/ML studies and diversity in solutions can confuse deciding which AI/ML technique is suitable for which COVID-19 purposes. Because there is no comprehensive review study, this study systematically analyzes and summarizes related studies. A research methodology has been proposed to conduct the systematic literature review for framing the research questions, searching criteria and relevant data extraction. Finally, 264 studies were taken into account after following inclusion and exclusion criteria. This research can be regarded as a key element for epidemic and transmission prediction, diagnosis and detection, and drug/vaccine development. Six research questions are explored with 50 AI/ML approaches in COVID-19, 8 AI/ML methods for patient outcome prediction, 14 AI/ML techniques in disease predictions, along with five AI/ML methods for risk assessment of COVID-19. It also covers AI/ML method in drug development, vaccines for COVID-19, models in COVID-19, datasets and their usage and dataset applications with AI/ML.

scholarly journals Sensing Applications and Public Datasets for Digital Phenotyping of Mental Health (Preprint)

2021 ◽  
Author(s):  
Jean P. M. Marques ◽  
Ivan R. Moura ◽  
Pepijn Van de Ven ◽  
Davi V. Santos ◽  
Francisco J. S. Silva ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Digital Libraries ◽  
Scientific Literature ◽  
Data Extraction ◽  
Exclusion Criteria ◽  
Sensing Applications ◽  
Digital Phenotyping ◽  
Depth Analysis ◽  
Public Datasets

BACKGROUND Mental disorders are normally diagnosed exclusively on the basis of symptoms, which are identified from patients' interviews and self-reported experiences. To make mental health diagnoses and monitoring more objective, different solutions have been proposed such as Digital Phenotyping of Mental Health (DPMH), which can expand the ability to identify and monitor health conditions based on the interactions of people with digital technologies. OBJECTIVE This article aims to identify and characterize technically the sensing applications and public datasets for DPMH. METHODS We performed a systematic review of scientific literature and datasets. We searched digital libraries and dataset repositories to find results that met the selection criteria. RESULTS After applying inclusion and exclusion criteria, 31 articles and 8 datasets were selected for data extraction, in which we summarized their characteristics and identified trends and research opportunities. CONCLUSIONS Results evidenced growth in proposals for DPMH sensing applications in recent years as opposed to a scarcity of public datasets. This systematic review provides in-depth analysis regarding solutions for DPMH.

scholarly journals Strategies to Strengthen Mental Health Services in Hospital during Covid-19

2021 ◽  
Vol 10 (2) ◽  
pp. 128-138
Author(s):  
Niken Sasanti Ardi ◽  
Dumilah Ayuningtyas
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Mental Health Services ◽  
Health Services ◽  
Suicide Prevention ◽  
Best Practice ◽  
Psychological Trauma ◽  
Inclusion Criteria ◽  
Exclusion Criteria ◽  
Anxiety Depression

Psychiatric disorders that arise due to Covid-19 include anxiety, depression, psychological trauma and the use of drugs to deal with tension caused by the pandemic. A total of 535 respondents (49%) out of 2,364 respondents had thoughts about death. Hospitals must make changes and mitigate, accelerate and adapt faster. This article aims to identify best practice strategies for suicide prevention to improve mental health services in hospitals. This study used queries: "suicide prevention", "covid" and "hospital". The inclusion criteria are English for the issue of 01/01/2020 - 05/10/2020, open access, full-text articles, all types of articles and have keywords. The exclusion criteria were the opposite of the inclusion criteria. The author obtained articles from SpringerLink (13 articles), Pubmed (17 articles), SAGE (4 articles), ProQuest (27 articles), and ScienceDirect (20 articles). Total of 6 articles is excluded because of duplication. 51 articles are excluded because they were not compatible with PICO. Ten articles were excluded because they were a systematic review. The author has 14 articles left for eligibility selection, and all articles are selected for full article review. The recommendation given is to provide comprehensive mental health services in the hospital.

scholarly journals Massive Open Online Courses (MOOC) Evaluation Methods: Protocol for a Systematic Review (Preprint)

2018 ◽  
Author(s):  
Kimberley Foley ◽  
Abrar Alturkistani ◽  
Alison Carter ◽  
Terese Stenfors ◽  
Elizabeth Blum ◽  
...  
Keyword(s):  
Systematic Review ◽  
Online Courses ◽  
Data Extraction ◽  
Evaluation Methods ◽  
Massive Open Online Courses ◽  
Completion Rates ◽  
Massive Open Online ◽  
Data Synthesis ◽  
Meta Analyses ◽  
Future Work

BACKGROUND Massive open online courses (MOOCs) have increased in popularity in recent years. They target a wide variety of learners and use novel teaching approaches, yet often exhibit low completion rates (10%). It is important to evaluate MOOCs to determine their impact and effectiveness, but little is known at this point about the methodologies that should be used for evaluation. OBJECTIVE The purpose of this paper is to provide a protocol for a systematic review on MOOC evaluation methods. METHODS We will use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) guidelines for reporting this protocol. We developed a population, intervention, comparator, and outcome (PICO) framework to guide the search strategy, based on the overarching question, “What methods have been used to evaluate MOOCs?” The review will follow six stages: 1) literature search, 2) article selection, 3) data extraction, 4) quality appraisal, 5) data analysis, and 6) data synthesis. RESULTS The systematic review is ongoing. We completed the data searches and data abstraction in October and November 2018. We are now analyzing the data and expect to complete the systematic review by March 2019. CONCLUSIONS This systematic review will provide a useful summary of the methods used for evaluation of MOOCs and the strengths and limitations of each approach. It will also identify gaps in the literature and areas for future work. INTERNATIONAL REGISTERED REPOR DERR1-10.2196/12087

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