Alejandro Salazar

Dr. Alejandro Salazar

Department of Statistics and Operational Research, University of Cadiz
+2
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2016 in Journal of Pain Research
Verified
Journal Article
Open access
PDF file
MDMaría Dueñas
María Dueñas
BOBegoña Ojeda
Begoña Ojeda
ASAlejandro Salazar
Alejandro Salazar
JMJuan A Mico
Juan A Mico
IFInmaculada Failde
Inmaculada Failde
Chronic pain (CP) seriously affects the patient’s daily activities and quality of life, but few studies on CP have considered its effects on the patient’s social and family environment. In this work, through a review of the literature, we assessed several aspects of how CP influences the patient’s daily activities and quality of life, as well as its repercussions in the workplace, and on the family and social environment. Finally, the consequences of pain on the health care system are discussed. On the basis of the results, we concluded that in addition to the serious consequences on the patient’s life, CP has a severe detrimental effect on their social and family environment, as well as on health care services. Thus, we want to emphasize on the need to adopt a multidisciplinary approach to treatment so as to obtain more comprehensive improvements for patients in familial and social contexts. Accordingly, it would be beneficial to promote more social- and family-oriented research initiatives.

25 October 2018 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
ASAlejandro Salazar
Alejandro Salazar
HSHelena De Sola
Helena De Sola
IFInmaculada Failde
Inmaculada Failde
JMJose Antonio Moral-Munoz
Jose Antonio Moral-Munoz
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Chronic pain is a major health issue requiring an approach that not only considers medication, but also many other factors included in the Bio-Psycho-Social model of pain. New technologies, such as mobile applications, are tools to address these factors, although in many cases they lack proven quality or are not based on scientific evidence, so it is necessary to review and measure their quality. Objective: The aim is to review and measure the quality of mobile applications for the management of pain using the mobile app rating scale (MARS). Methods: This review included 18 pain related mobile apps from App Store and Android Market. The MARS was administered to measure their quality. We list the scores (of each section and the final score) of every app and we report the mean score (and standard deviation) for an overall vision of the quality of the pain related apps. We compare the section scores between the groups defined according to the tertiles via ANOVA analyses, after checking for normality (Kolmogorov-Smirnov test). Results: The global quality ranged from 1.74 (worst app) to 4.35 (best app). The 18 apps, as a whole, obtained an average score of 3.17 (SD=0.75). The best rated sections were “Functionality” (Mean=3.92;SD=0.72), “Aesthetics” (Mean=3.3;SD=1.05), and “Engagement” (Mean=2.87;SD=1.14), while the worst rated were “App specific” (Mean=2.48;SD=1), “Information” (Mean=2.52;SD=0.82), and “App subjective quality” (Mean=2.68;SD=1.22). The main differences between tertiles were found on “app subjective quality”, “Engagement”, “Aesthetics”, and “App specific”. Conclusions: Current pain related apps are of a certain quality, mainly regarding their technical aspects, although they fail to offer information and have an impact on the user. Most apps are not based on scientific evidence, have not been rigorously tested, and the confidentiality of the information collected is not guaranteed. Future apps would need to improve these aspects and exploit the capabilities of current devices.

3 February 2020 in Games for Health Journal
Verified
Journal Article
Closed access
PDPablo Domínguez-Téllez
Pablo Domínguez-Téllez
JMJose Antonio Moral-Munoz
Jose Antonio Moral-Munoz
ASAlejandro Salazar
Alejandro Salazar
ECEsteban Casado-Fernández
Esteban Casado-Fernández
David Lucena-AntonDavid Lucena-Anton
David Lucena-Anton
Stroke is the main cause of disability in adulthood. Recent advances in virtual reality (VR) technologies have led to its increased use in the rehabilitation of stroke patients. A systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted to determine the effectiveness of game-based reality on upper limb (UL) motor function and quality of life after stroke. In March 2018, a search of the following databases was performed: PubMed, PEDro, Web of Science, Scopus, The Cochrane Library, and Medline at EBSCO. The selection criteria were all RCTs published in English or Spanish during the past 10 years. The PEDro scale was used to evaluate the methodological quality of the studies. A total of 20 clinical trials were included in the systemic review, of which 15 contributed information to the meta-analysis. Favorable results were found for VR interventions on UL motor function (Fugl-Meyer Assessment for upper extremity, standardized mean difference [SMD] = 1.53, 95% CI [0.51–2.54]) and quality of life (functional independence measure, SMD = 0.77, 95% CI [0.05–1.49]). The results demonstrate the potential benefits of VR interventions on the recovery of UL motor function and on quality of life after stroke.

2 February 2023 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
MMMarta Moreno-Ligero
Marta Moreno-Ligero
JMJose Antonio Moral-Munoz
Jose Antonio Moral-Munoz
ASAlejandro Salazar
Alejandro Salazar
IFInmaculada Failde
Inmaculada Failde
Background: Chronic pain (CP) is 1 of the leading causes of disability worldwide and represents a significant burden on individual, social, and economic aspects. Potential tools, such as mobile health (mHealth) systems, are emerging for the self-management of patients with CP. Objective: A systematic review was conducted to analyze the effects of mHealth interventions on CP management, based on pain intensity, quality of life (QoL), and functional disability assessment, compared to conventional treatment or nonintervention. Methods: PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines were followed to conduct a systematic review of randomized controlled trials (RCTs) published in PubMed, Web of Science, Scopus, and Physiotherapy Evidence Database (PEDro) databases from February to March 2022. No filters were used. The eligibility criteria were RCTs of adults (≥18 years old) with CP, intervened with mHealth systems based on mobile apps for monitoring pain and health-related outcomes, for pain and behavioral self-management, and for performing therapeutic approaches, compared to conventional treatments (physical, occupational, and psychological therapies; usual medical care; and education) or nonintervention, reporting pain intensity, QoL, and functional disability. The methodological quality and risk of bias (RoB) were assessed using the Checklist for Measuring Quality, the Oxford Centre for Evidence-Based Medicine Levels of Evidence, and the Cochrane RoB 2.0 tool. Results: In total, 22 RCTs, involving 2641 patients with different CP conditions listed in the International Classification of Diseases 11th Revision (ICD-11), including chronic low back pain (CLBP), chronic musculoskeletal pain (CMSP), chronic neck pain (CNP), unspecified CP, chronic pelvic pain (CPP), fibromyalgia (FM), interstitial cystitis/bladder pain syndrome (IC/BPS), irritable bowel syndrome (IBS), and osteoarthritis (OA). A total of 23 mHealth systems were used to conduct a variety of CP self-management strategies, among which monitoring pain and symptoms and home-based exercise programs were the most used. Beneficial effects of the use of mHealth systems in reducing pain intensity (CNP, FM, IC/BPS, and OA), QoL (CLBP, CNP, IBS, and OA), and functional disability (CLBP, CMSP, CNP, and OA) were found. Most of the included studies (18/22, 82%) reported medium methodological quality and were considered as highly recommendable; in addition, 7/22 (32%) studies had a low RoB, 10/22 (45%) had some concerns, and 5/22 (23%) had a high RoB. Conclusions: The use of mHealth systems indicated positive effects for pain intensity in CNP, FM, IC/BPS, and OA; for QoL in CLBP, CNP, IBS, and OA; and for functional disability in CLBP, CMSP, CNP, and OA. Thus, mHealth seems to be an alternative to improving pain-related outcomes and QoL and could be part of multimodal strategies for CP self-management. High-quality studies are needed to merge the evidence and recommendations of the use of mHealth systems for CP management. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews CRD42022315808; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=315808

20 February 2019 in Journal of Intellectual Disability Research
Verified
Journal Article
Open access
PDF file
LRL. Ruiz‐González
L. Ruiz‐González
David Lucena-AntonDavid Lucena-Anton
David Lucena-Anton
ASAlejandro Salazar
Alejandro Salazar
Rocio Martín-ValeroRocio Martín-Valero
Rocio Martín-Valero
JMJose Antonio Moral-Munoz
Jose Antonio Moral-Munoz
Background: Down syndrome is the most common chromosomal abnormality, with a worldwide incidence of around 0.1% in live births. It is related to several conditions in which the physical therapy could take action‐preventing co‐morbidities. This study aims to evaluate the effectiveness of physical therapy in Down syndrome, to know and compare the effectiveness of different physical therapy interventions in this population.Methods: A systematic review and a meta‐analysis of randomised controlled trials were conducted. The search was performed during June 2018 in the following databases: PubMed, Web of Science, Physiotherapy Evidence Database and Scopus. The studies were selected using predefined inclusion and exclusion criteria. The Physiotherapy Evidence Database scale evaluated the quality of the methods used in the studies. Subsequently, the data were extracted, and statistical analysis was performed when possible.Results: A total of 27 articles were included, of which nine contributed information to the meta‐analysis. Statistical analysis showed favourable results for the strength of upper and lower limbs [standardised mean difference (SMD) = 1.46; 95% confidence interval (CI): (0.77–2.15); and SMD = 2.04; 95% CI: (1.07–3.01)] and mediolateral oscillations of balance [SMD = −3.30; 95% CI: (−5.34 to −1.26)].Conclusions: The results show the potential benefit of certain types of physical therapy interventions, specifically in strength and balance, in people with Down syndrome. There are still many aspects to clarify and new lines of research.

1 April 2015 in Pain Medicine
Verified
Journal Article
Open access
PDF file
MDMaría Dueñas
María Dueñas
ASAlejandro Salazar
Alejandro Salazar
BOBegoña Ojeda
Begoña Ojeda
FFFernando Fernández-Palacín
Fernando Fernández-Palacín
JMJuan Antonio Micó
Juan Antonio Micó
IFInmaculada Failde
Inmaculada Failde
Objective. This study aims to assess the prevalence of chronic pain, its characteristics, and its impact on the general Spanish population. Also, to es