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BackgroundThe introduction of natural language processing (NLP) technologies has significantly enhanced the potential of self-administered interventions for treating anxiety and depression by improving human-computer interactions. Although these advances, particularly in complex models such as generative artificial intelligence (AI), are highly promising, robust evidence validating the effectiveness of the interventions remains sparse. ObjectiveThe aim of this study was to determine whether self-administered interventions based on NLP models can reduce depressive and anxiety symptoms. MethodsWe conducted a systematic review and meta-analysis. We searched Web of Science, Scopus, MEDLINE, PsycINFO, IEEE Xplore, Embase, and Cochrane Library from inception to November 3, 2023. We included studies with participants of any age diagnosed with depression or anxiety through professional consultation or validated psychometric instruments. Interventions had to be self-administered and based on NLP models, with passive or active comparators. Outcomes measured included depressive and anxiety symptom scores. We included randomized controlled trials and quasi-experimental studies but excluded narrative, systematic, and scoping reviews. Data extraction was performed independently by pairs of authors using a predefined form. Meta-analysis was conducted using standardized mean differences (SMDs) and random effects models to account for heterogeneity. ResultsIn all, 21 articles were selected for review, of which 76% (16/21) were included in the meta-analysis for each outcome. Most of the studies (16/21, 76%) were recent (2020-2023), with interventions being mostly AI-based NLP models (11/21, 52%); most (19/21, 90%) delivered some form of therapy (primarily cognitive behavioral therapy: 16/19, 84%). The overall meta-analysis showed that self-administered interventions based on NLP models were significantly more effective in reducing both depressive (SMD 0.819, 95% CI 0.389-1.250; P.05). Although the findings were positive, the overall certainty of evidence was very low, mainly due to a high risk of bias, heterogeneity, and potential publication bias. ConclusionsOur findings support the effectiveness of self-administered NLP-based interventions in alleviating depressive and anxiety symptoms, highlighting their potential to increase accessibility to, and reduce costs in, mental health care. Although the results were encouraging, the certainty of evidence was low, underscoring the need for further high-quality randomized controlled trials and studies examining implementation and usability. These interventions could become valuable components of public health strategies to address mental health issues. Trial RegistrationPROSPERO International Prospective Register of Systematic Reviews CRD42023472120; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023472120

Abstract Background Anxiety disorders are among the main mental health problems worldwide and are considered one of the most disabling conditions. Therefore, it is essential to have measurement tools that can be used to screen for anxiety symptoms in the general population and thus identify potential cases of people with anxiety symptoms and provide them with timely care. Our aim was to evaluate the psychometric properties of the General Anxiety Disorder-7 scale (GAD-7) in the Peruvian population. Method Our study was a cross-sectional study. The sample included people aged 12 to 65 years in Peru. Confirmatory factor analysis, analysis of measurement invariance, convergent validity with the Patient Health Questionnaire-9 (PHQ-9) and internal consistency analysis were performed. Results In total, 4431 participants were included. The one-factor model showed the best fit (CFI = 0.994; TLI = 0.991; RMSEA = 0.068; WRMR = 1.567). The GAD-7 score showed measurement invariance between men and women and between age groups (adults vs. adolescents) (ΔCFI

Abstract During the pandemic, many individuals with chronic or infectious diseases other than COVID-19 were unable to receive the care they needed due to the high demand for respiratory care. Our study aims to assess the impact of the COVID-19 pandemic on services provided to people with chronic diseases in Peru from 2016 to 2022. We performed a secondary database analysis of data registered by the comprehensive health insurance (SIS), the intangible solidarity health fund (FISSAL), and private healthcare institutions (EPS), using interrupted time series analysis. Our study identified 21,281,128 individual users who received care. The pooled analysis revealed an average decrease of 1,782,446 in the number of users receiving care in the first month of the pandemic compared with the expected values for that month based on pre-pandemic measurements. In addition, during the pandemic months, there was an average increase of 57,911 in the number of new additional single users who received care per month compared with the previous month. According to the time-series analysis of users receiving care per month based on each chronic disease group, the most significant decreases included people with diabetes without complications and chronic lung disease.

BackgroundThe COVID-19 pandemic led to a global reduction in health care accessibility for both infected and noninfected patients, posing a particular burden on those with chronic conditions, including mental health issues. Peru experienced significant devastation from the pandemic, resulting in a collapsed health care system and leading to the world’s highest per capita mortality rate as a result of COVID-19. Understanding the trends in health care utilization, particularly in mental health care, is crucial for informing pandemic response efforts and guiding future recovery strategies. ObjectiveThis study aims to analyze the trends of outpatient medical and psychiatric consultations during the COVID-19 pandemic in a national hospital in Peru. MethodsThis observational study was conducted at a national hospital in Lima, Peru. We analyzed data on user care across all services, including psychiatric services, from May 2019 to December 2022. The data were calculated for users served per month, including the number of users seen monthly in mental health services. Sociodemographic variables such as sex (female or male), age (≥0 years), type of medical appointment (regular or additional), and modality of care (in-person or teleconsultations) were taken into account. An interrupted time series regression model was conducted to assess the number of outpatient medical and psychiatric consultations. Subgroup analyses were performed based on service modality, including overall consultations, telemonitoring/teleconsultations only, or face-to-face only, for all service users and for mental health service users. ResultsA total of 1,515,439 participants were included, with females comprising 275,444/484,994 (56.80%) of the samples. Only 345,605/1,515,439 (22.81%) visits involved telemedicine. The total monthly outpatient visits were significantly reduced compared with the expected projection (P

Aim: To describe the perceptions and experiences of key stakeholders to understand the use of telehealth in community mental health centers (CMHCs) during the COVID-19 pandemic in Lima and Callao, Peru. Methods: A qualitative study was carried out in four CMHCs in Lima and Callao, Peru. Forty-nine individual semi-structured interviews were conducted between September 2021 and March 2022, considering CMHCs' users and their relatives, health and administrative workers, directors, as well as local and national policymakers. Data was analyzed using thematic analysis. Results: Regarding the transition from in-person care to telehealth, CMHCs' directors and workers identified some of the regulations issued by the Government during the pandemic, such as the continuity of care through telehealth, especially for pregnant women and for people with comorbidities related to COVID-19. Regarding benefits, workers and users indicated that it allowed better communication, such as constant follow-ups. Directors and workers recognized that Google Drive facilitated access to user information, since they did not have an electronic medical record. Additionally, workers said they used social media to share educational information on mental health, and explained that some new users began their treatment this way. Regarding difficulties, participants reported a lack of devices and poor internet connection in CMHCs. Users mentioned that scheduling an appointment was difficult because the phone lines were usually saturated, and they could not find available appointments. Conclusion: Although the pandemic forced an immediate and disruptive change towards telehealth, CMHCs were able to adapt most of their services. This study reports the adaptations made by CMHCs to move from in-person to remote care, identifying the benefits and challenges faced, information that can be used for the nationwide implementation of telehealth in CMHCs. We recommend ensuring technological equipment and internet connection and adapt the telehealth system to make it responsive to the routine practices of CMHCs.

Introduction: Burnout syndrome (BS) is a prevalent occupational health problem in health professionals. To describe the prevalence and factors associated with BS in Peruvian health professionals. Method: A systematic review and meta-analysis were performed. The key terms “burnout” and “professional exhaustion” were used with words related to Peru. The databases consulted were LILACS/Virtual Health Library, Medline/PubMed, Science Direct, EBSCO, Scopus, SciELO, and RENATI-SUNEDU; articles published between January 2000 to December 2020 were considered for inclusion. Methodological quality was evaluated using the Newcastle–Ottawa scale. Results: Thirty studies were identified (8 scientific articles and 22 graduate theses). The median sample size was 78, with an interquartile range of 50–110. A meta-analysis was performed to calculate a dichotomic prevalence of burnout syndrome in health professionals of 25 % (95%CI: 9 %–45 %; I2 = 97.14 %; 5 studies). Also, our meta-analysis estimated the overall prevalence of mild burnout (27 %; 95%CI: 16%–41 %; I2 = 96.50 %), moderate burnout (48 %; 95%CI: 32%–65 %; I2 = 97.54 %), and severe burnout (17 %; 95%CI: 10%–24 %; I2 = 92.13 %; 18 studies). We present meta-analyses by region, profession, hospital area, and by dimension of the Maslach Burnout Inventory. Overall, the studies presented adequate levels of quality in 96.7 % of the included studies (n = 29). In addition, our narrative review of factors associated with BS and its three dimensions identified that different studies find associations with labor, socio-demographic, individual, and out-of-work factors. Conclusions: There is a higher prevalence of moderate BS in Peruvian health professionals at MINSA and EsSalud hospitals in Peru, with severity differing by region of Peru, type of profession, work area, and dimensions of BS.

BackgroundOnline psychological interventions have emerged as a treatment alternative because they are accessible, flexible, personalized, and available to large populations. The number of Internet interventions in Latin America is limited, as are Randomized Controlled Trials (RCTs) of their effectiveness and a few studies comparing their effectiveness in multiple countries at the same time. We have developed an online intervention, Well-being Online, which will be available to the public free of charge in 7 countries: Mexico, Ecuador, Peru, Chile, Brazil, Spain, and the Netherlands. We expect a reduction in depression and anxiety symptoms and an increase in well-being of the participants.MethodsA multi-country, randomized controlled trial will be conducted. The intervention is multicomponent (Cognitive Behavioral Therapy, Behavioral Activation Therapy, Mindfulness, Acceptance and Commitment Therapy, and Positive Psychology), with 10 sessions. In each country, eligible participants will be randomized to one of three groups: Enriched Intervention (interactive web design with videos, infographics, text, audio, and forum), Text Intervention (text on the website), and Wait List (control group). Repeated measures will be obtained at 5-time points. Our primary outcomes will be anxiety symptomatology, depressive symptomatology, and mental well-being. MANOVA analysis will be used for our main analysis.DiscussionThis protocol describes the design of a randomized trial to evaluate the efficacy of a web-based intervention to reduce anxiety and depression symptomatology and increase subjective well-being. The intervention will be made available in four languages (Spanish, Portuguese, Dutch, and English). Its results will contribute to the evidence of effectiveness in terms of randomized trials and Internet interventions, mainly in Latin America and Europe.

Abstract Objective: To evaluate the factors associated with food insecurity (FI) among Venezuelan migrants residing in Peru. Secondarily, to evaluate the psychometric properties of the Food Insecurity Experience Scale (FIES). Design: A cross-sectional study based on secondary data analysis of the 2022 Venezuelan Population Residing in Peru Survey (ENPOVE-2022, from the Spanish acronym) was conducted. FI was measured with the FIES, whose properties were tested using the Rasch model. Multinomial logistic regression was performed to estimate relative prevalence ratios with their corresponding 95 % confidence intervals. Setting: This survey was conducted in February and March 2022 in the eight cities most populated by Venezuelan migrants and refugees in Peru. Participants: Venezuelan migrants and refugees over the age of 18 years living in Peru. Results: A total of 7727 participants were included. Rasch reliability was adequate (0·73). The prevalence of mild, moderate and severe FI was 36·71 %, 31·14 % and 10·48 %, respectively. Being aged 25–34 and 35–44 years, unemployed, uninsured, having no formal education or secondary, illegal status, living in a dwelling with 2–4 and more than 4 people, presenting one or more than one chronic disease, residing in Peru for 0–6 months and perceived discrimination were associated with a higher probability of moderate FI. Furthermore, having secondary education, being unemployed, uninsured, never married, illegal, residing in Tumbes, presenting one or more than one chronic disease and perceived discrimination were significantly associated with severe FI. Conclusion: Four out of ten Venezuelan migrants residing in Peru presented moderate to severe FI. The FIES showed adequate psychometric properties. Differences in the socio-demographic, health and migratory factors associated with FI levels were found. Inter-sectoral and multi-sectoral interventions are needed and should be focused on addressing the determinants of FI.

Objetivos. Comprender las experiencias de usuarios nuevos y continuadores de los Centros de Salud Mental Comunitaria (CSMC) de Lima y Callao, y de sus familiares, en relación a la atención en salud mental que recibieron durante la pandemia de la COVID-19. Materiales y métodos. Estudio cualitativo realizado entre septiembre del 2021 y febrero del 2022, en el que se entrevistó a 24 usuarios y familiares que interactuaron con los servicios brindados por tres CSMC de Lima y uno del Callao, durante la pandemia de la COVID-19. Se realizó un análisis temático de las entrevistas transcritas. Resultados. Los informantes percibieron que la pandemia exacerbó los síntomas de las personas con problemas de salud mental. Durante la pandemia, las atenciones de salud mental se apoyaron en el uso de tecnología, principalmente de llamadas telefónicas, las que sirvieron para monitorear el estado emocional y el tratamiento farmacológico de los usuarios, así como para programar y recordar citas. Los usuarios destacan que las llamadas telefónicas frecuentes les hicieron sentirse acompañados y resaltan el compromiso de los trabajadores de los CSMC. Como dificultades, reportan el incremento en la demanda de atención, problemas para acceder a videollamadas, y menor calidad en las atenciones virtuales. Conclusiones. La COVID-19 impactó emocionalmente a las personas con problemas de salud mental, a su vez, los servicios de los CSMC vieron afectada la modalidad (presencial o virtual), recursos, frecuencia, tiempo y calidad de la atención, encontrando limitaciones y beneficios en el uso de la tecnología.

BackgroundDepression significantly impacts quality of life, affecting approximately 280 million people worldwide. However, only 16.5% of those affected receive treatment, indicating a substantial treatment gap. Immersive technologies (IMTs) such as virtual reality (VR) and augmented reality offer new avenues for treating depression by creating immersive environments for therapeutic interventions. Despite their potential, significant gaps exist in the current evidence regarding the design, implementation, and use of IMTs for depression care. ObjectiveWe aim to map the available evidence on IMT interventions targeting depression treatment. MethodsThis scoping review followed a methodological framework, and we systematically searched databases for studies on IMTs and depression. The focus was on randomized clinical trials involving adults and using IMTs. The selection and charting process involved multiple reviewers to minimize bias. ResultsThe search identified 16 peer-reviewed articles, predominantly from Europe (n=10, 63%), with a notable emphasis on Poland (n=9, 56%), which contributed to more than half of the articles. Most of the studies (9/16, 56%) were conducted between 2020 and 2021. Regarding participant demographics, of the 16 articles, 5 (31%) exclusively involved female participants, and 7 (44%) featured participants whose mean or median age was >60 years. Regarding technical aspects, all studies focused on VR, with most using stand-alone VR headsets (14/16, 88%), and interventions typically ranging from 2 to 8 weeks, predominantly in hospital settings (11/16, 69%). Only 2 (13%) of the 16 studies mentioned using a specific VR design framework in planning their interventions. The most frequently used therapeutic approach was Ericksonian psychotherapy, used in 56% (9/16) of the studies. Notably, none of the articles reported using an implementation framework or identified barriers and enablers to implementation. ConclusionsThis scoping review highlights the growing interest in using IMTs, particularly VR, for depression treatment but emphasizes the need for more inclusive and comprehensive research. Future studies should explore varied therapeutic approaches and cost-effectiveness as well as the inclusion of augmented reality to fully realize the potential of IMTs in mental health care.

Background: Systematic reviews suggest that animal-assisted therapy (AAT) and pet-robot interventions (PRI) achieve a reduction in mental health variables such as depressive symptoms. However, these systematic reviews include both randomised and non-randomised studies, which prevents an adequate assessment of the effect of confounding variables. Objective: This systematic review and meta-analysis aimed to evaluate the comparative effectiveness of AAT and PRI through randomized controlled trials (RCTs) in reducing depression in older adults. Methods: Our study is a systematic review. We searched three databases of scientific articles: SCOPUS, Web of Science and PubMed. We included studies that their population was older adults, aged 65 years or older, with or without a clinical condition, clinical diagnosis based on mental examination/test or documentation from medical records, accredited by the facilities' staff. We included trials in which the comparator was a passive intervention or an active intervention. We used the Cochrane risk-of-bias tool for randomised trials (RoB 2) to assess the risk of bias for each study. Our study was registered in PROSPERO (CRD42023393740). Results: Twenty-three studies were included in this systematic review. However, only 19 trials were included in the meta-analysis. At the overall risk of bias level, 78.9% of the studies were at high risk of bias (n = 15). We found that AAT (g= −0.72; 95%CI −1.13 to −0.31; p = 0.001) has a moderate and statistically significant effect as an intervention to reduce depressive symptoms in older adults. However, the PRIs do not show a significant effect on reducing depressive symptoms in older adults. In addition, a sub-analysis based on dog-assisted therapy (g= −0.65; 95%CI −1.21 to −0.08; p = 0.025), a specific type of AAT, showed a modest effect on reducing depressive symptoms. Conclusions: Our study concluded that AAT and DAT had a moderate and statistically significant effect as interventions to reduce depressive symptoms in older adults. On the other hand, PRI did not show a significant effect in reducing depressive symptoms.

BackgroundThe costs associated with healthcare are of critical importance to both decision-makers and users, given the limited resources allocated to the health sector. However, the available scientific evidence on healthcare costs in low- and middle-income countries, such as Peru, is scarce. In the Peruvian context, the health system is fragmented, and the private health insurance and its financing models have received less research attention. We aimed to analyse user cost-sharing and associated factors within the private healthcare system.MethodsOur study was cross-sectional, using open data from the Electronic Transaction Model of Standardized Billing Data-TEDEF-SUSALUD, between 2021-2022. Our unit of analysis is the user's medical bills. We considered the total amount of cost-sharing, proportion of total payments as cost-sharing, and cost-sharing as a proportion of minimum salaries. We use a multiple regression model to perform the analyses.ResultsOur study included 5,286,556 health services provided to users of the private health insurance in Peru. We found a significant difference was observed in the cost-sharing for hospitalization-related services, with an average of 419.64 soles per day (95% CI: 413.44 to 425.85). Also, we identified that for hospitalization-related services per day is, on average, 0.41 (95% CI: 0.41 to 0.41) minimum salaries more expensive than outpatient care, although cost-sharing per day of hospitalization represent on average only 14% of the total amount submitted.ConclusionsOur study provides a detailed overview of cost-sharing in the private healthcare system in Peru and the factors associated with them. Policymakers can use the study's finding that higher cost-sharing for inpatient hospitalization compared to outpatient care in private insurance can create inequities in access to healthcare to design policies aimed at reducing these costs and promoting a more equitable and accessible healthcare system in Peru.

Abstract Objective: Abdominal obesity (AO) is characterised by excess adipose tissue. It is a metabolic risk that affects the physical and mental health, particularly in women since they are more prone to mental health problems like depression. This study investigated the association between AO and depressive symptoms in Peruvian women of reproductive age (18–49 years). Design: This is a cross-sectional observational study. Setting: Peruvian women population of reproductive age. Participants: We used data from the Peruvian Demographic and Family Health Survey (DHS) for 2018 and 2019 to assess 17 067 women for the presence of depressive symptoms (using the Patient Health Questionnaire (PHQ-9): cut-off score ≥ 10) and AO (measured by abdominal circumference; cut-off score ≥88 cm). Results: We observed a 64·55 % prevalence of AO and 7·61 % of depressive symptoms in the study sample. Furthermore, 8·23 % of women with AO had depressive symptoms (P < 0·05). Initially, women with AO appeared to have a 26 % higher risk of depressive symptoms compared with women without AO (P = 0·028); however, after adjustment for covariates, no statistically significant association was observed. Conclusions: Therefore, although both conditions are common in women of this age group, no significant association was found between AO and depressive symptoms.

Background: During the first wave of the pandemic, a constant concern of healthcare workers, who are more vulnerable to contagion, is their personal safety. This is directly related to the availability of adequate PPE, which led to a perception of dissatisfaction and inequality with government responses. We aim t o determines whether perception of adequate PPE availability is associated with depressive, anxiety, and stress symptoms in different types of healthcare workers. Methods: Analytical cross-sectional study surveyed clinical and non-clinical healthcare workers in two third-level hospitals in Lima, Peru. An online self-survey assessed the perception of adequate PPE availability, using a Likert scale question, which was then dichotomized for the analysis. In addition, we assessed the depressive, anxiety, and stress symptoms using validated questionnaires. Results: 563 participants were included. In general, there is no association between perception of PPE availability and three mental health outcomes. However, in the subgroup analysis, physicians with better perception of PPE availability had less moderate-severe outcomes in mental health; in contrast, nurses had higher moderate-severe outcomes. The type of profession in healthcare workers may modify the effect of this association. Conclusion: The association between perception of PPE availability and mental health outcomes is complex in healthcare workers from two third-level hospitals. This association can vary according to the type of work.

The COVID-19 pandemic has had a major impact on family relationships, as several families have lost family members due to COVID-19 pandemic and become physically and emotionally estranged due to lockdown measures and critically economic periods. Our study contrasted two hypotheses: (1) family functioning changed notably before and after the COVID-19 pandemic initiation in terms of cohesion, flexibility, communication and satisfaction; (2) balanced families have a greater capacity to strictly comply with quarantine (i.e., social confinement), compared to unbalanced families. We performed an observational study comparing family functioning between two independent groups, evaluated before and during the first wave of the COVID-19 pandemic in Peru. A total of 7,980 participants were included in the study. For the first hypothesis, we found that, during the pandemic, families became more balanced in terms of cohesion (adjusted before-during mean difference or β1 = 1.4; 95% CI [1.0–1.7]) and flexibility (β2 = 2.0; 95% CI [1.6–2.4]), and families were less disengaged (β3 = −1.9; 95% CI [−2.3 to −1.5]) and chaotic (β4 = −2.9; 95% CI [−3.3 to −2.4]). Regarding the second hypothesis, we confirmed that families with balanced cohesion (adjusted prevalence ratio or aPR = 1.16; 95% CI [1.12–1.19) and flexibility (aPR = 1.23; 95% CI [1.18–1.27]) allowed greater compliance with quarantine restrictions; while disengaged (aPR = 0.91; 95% CI [0.88–0.93]) and chaotic families (aPR = 0.89; 95% CI [0.87–0.92]) were more likely to partially comply or not comply with the quarantine. Finally, family communication (aPR = 1.17; 95% CI [1.11–1.24]) and satisfaction (aPR = 1.18; 95% CI [1.11–1.25]) also played a role in favouring quarantine compliance. This new evidence enlightens the family systems theory while informing future interventions for improving compliance with quarantine measures in the context of social confinement.

Abstract Background This study aims to describe the training offered and the availability of professionals required by the Ministry of Health for mental health problems management in the community. Methods A cross-sectional study was carried out on the training offered in mental health in Peruvian universities. A search for programs was conducted using the University Information System database and universities' websites, as well as using the Ministry of Health's database on health personnel and data on the number of enrolled and current students provided by the University Information System database and the Transparency section of the universities. Results There were 214 undergraduate, 55 specialty and 7 subspecialty programmes, of which 39%, 47% and 100%, respectively, were offered in the capital city. The duration ranged from 5 to 7 years for undergraduate programs and from 1 to 3 years for subspecialty and second specialty programs. The cost of undergraduate programs ranged from free of charge up to USD 6863.75 for the first semester of study. Second specialty programs ranged from 720 up to 11 986 USD and subspecialty programs ranged from 2267 up to 9138 USD, with medicine being the most expensive. On the other hand, there are a greater number of psychology students (n = 78 781) pursuing undergraduate studies than working professionals (n = 5368), while in the second specialty of psychiatry there are far fewer students pursuing the specialty (n = 67) than working professionals (n = 454). Conclusions The problem of professional training in mental health requires that the institutions involved in health and education develop policies to decentralize programs, communicate the demand for professionals in certain areas, make them accessible to the low-income population, respond to mental health problems and guarantee their quality. On the other hand, regarding the low number of mental health personnel working, it is suggested to increase the mental health budget to generate more mental health services and employment.

Introduction Human actions have influenced climate changes around the globe, causing extreme weather phenomena and impacting communities worldwide. Climate change has caused, directly or indirectly, health effects such as injury and physical injuries, which impact morbidity and mortality. Similarly, there is evidence that exposure to climatic catastrophes has serious repercussions on psychological well-being, and rising temperatures and drought have detrimental effects on mental health.Despite the recent effort of researchers to develop specific instruments to assess the effects of climate change on mental health, the evidence on measures of its impact is still scarce, and the constructs are heterogeneous. The aim of this scoping review is to describe the instruments developed and validated to assess the impact of mental health related to climate change.Methods and analysis This review is registered at Open Science Framework (https://osf.io/zdmbk). This scoping review will follow the reporting elements chosen for systematic review and meta-analysis (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). We proposed a PO question, as it places no restrictions on the participants (P), and the outcome (O) are measurement instruments on mental health related to climate change. A search will be conducted in different databases (PubMed, Scopus, Web of Science, PsycINFO). We will use an open-source artificial intelligence screening tool (ASReview LAB) for the title and abstract review. The full-text review will be performed by three researchers. If there is a disagreement between two independent reviewers, a third reviewer will take the final decision. We will use the COnsensus-based Standards for the selection of health Measurement INstruments tool to assess the risk of bias for each included study. The review will be conducted starting in September 2023.Ethics and dissemination The planned scoping review does not require ethical approval since it will not involve an ethical risk to the participants. The results obtained from this study will be presented at conferences, congresses and scientific publications.

Background Mental health data from Latin America and the Caribbean countries (LACC) national and international surveys are essential for public health surveillance. This review aimed to identify and describe available mental health survey data in LACC, providing access details for researchers.Methods Our study was a scoping review. The search for available mental health survey data was conducted in PubMed and through grey literature searches, and the search dates were between 26 August 2021 and 15 October 2021. Included survey data were/had (1) nationally representative, (2) the latest version available from 2012 onward, (3) collected in at least one LACC and (4) at least one mental health variable or related factor. We accepted all written languages, including Spanish and English.Results A total of 56 national and 13 international surveys were included, with data available on 95 mental health variables classified into 10 categories. Most national surveys were performed in upper-middle-income countries. Variables categorised as ‘Substance use’ and ‘Violence’ were the most frequent. Mexico and Colombia had the highest production in both the national and international surveys. The main target population was the adult population. However, there are several mental health topics and LACC yet unsurveyed.Conclusion We identified a total of 69 representative surveys from LACCs since 2012. We categorised the available data on mental health variables into 10 categories, and provided technical details to facilitate the future selection and use of these surveys.

Objectives The Patient Health Questionnaire (PHQ) and Generalised Anxiety Disorder Scale (GAD) are widely used screening tools, but their sensitivity and specificity in low-income and middle-income countries are lower than in high-income countries. We conducted a study to determine the sensitivity and specificity of different versions of these scales in a Peruvian hospital population.Design Our study has a cross-sectional design.Setting Our participants are hospitalised patients in a Peruvian hospital. The gold standard was a clinical psychiatric interview following ICD-10 criteria for depression (F32.0, F32.1, F32.2 and F32.3) and anxiety (F41.0 and F41.1).Participants The sample included 1347 participants. A total of 334 participants (24.8%) were diagnosed with depression, and 28 participants (2.1%) were diagnosed with anxiety.Results The PHQ-9’s≥7 cut-off point showed the highest simultaneous sensitivity and specificity when contrasted against a psychiatric diagnosis of depression. For a similar contrast against the gold standard, the other optimal cut-off points were: ≥7 for the PHQ-8 and ≥2 for the PHQ-2. In particular, the cut-off point ≥8 had good performance for GAD-7 with sensitivity and specificity, and cut-off point ≥10 had lower levels of sensitivity, but higher levels of specificity, compared with the cut-off point of ≥8. Also, we present the sensitivity and specificity values of each cut-off point in PHQ-9, PHQ-8, PHQ-2, GAD-7 and GAD-2. We confirmed the adequacy of a one-dimensional model for the PHQ-9, PHQ-8 and GAD-7, while all PHQ and GAD scales showed good reliability.Conclusions The PHQ and GAD have adequate measurement properties in their different versions. We present specific cut-offs for each version.

Abstract Background The context of the COVID-19 pandemic has harmed the mental health of the population, increasing the incidence of mental health problems such as depression, especially in those who have had COVID-19. Our study puts forward an explanatory model of depressive symptoms based on subjective psychological factors in those hospitalized for COVID-19 with and without biological markers (i.e., inflammatory markers). Therefore, we aim to evaluate the hypotheses proposed in the model to predict the presence of depressive symptoms. Method We conducted a cross-sectional study, using a simple random sampling. Data from 277 hospitalized patients with COVID-19 in Lima-Peru, were collected to assess mental health variables (i.e., depressive, anxiety, post-traumatic stress, and somatic symptoms), self-perception of COVID-19 related symptoms, and neutrophil/lymphocyte ratio (NLR) such as inflammatory marker. We performed a structural equation modeling analysis to evaluate a predictive model of depressive symptoms. Results The results showed a prevalence of depressive symptoms (11.2%), anxiety symptoms (7.9%), somatic symptoms (2.2%), and symptoms of post-traumatic stress (6.1%) in the overall sample. No association was found between the prevalence of these mental health problems among individuals with and without severe inflammatory response. The mental health indicators with the highest prevalence were sleep problems (48%), low energy (47.7%), nervousness (48.77%), worry (47.7%), irritability (43.7%) and back pain (52%) in the overall sample. The model proposed to explain depressive symptoms was able to explain more than 83.7% of the variance and presented good goodness-of-fit indices. Also, a different performance between the proposed model was found between those with and without severe inflammatory response. This difference was mainly found in the relationship between anxiety and post-traumatic stress symptoms, and between the perception of COVID-19 related symptoms and somatic symptoms. Conclusions Results demonstrated that our model of mental health variables may explain depressive symptoms in hospitalized patients of COVID-19 from a third-level hospital in Peru. In the model, perception of symptoms influences somatic symptoms, which impact both anxiety symptoms and symptoms of post-traumatic stress. Thus, anxiety symptoms could directly influence depressive symptoms or through symptoms of post-traumatic stress. Our findings could be useful to decision-makers for the prevention of depression, used to inform the creation of screening tools (i.e., perception of symptoms, somatic and anxiety symptoms) to identify vulnerable patients to depression.

Background: The COVID-19 pandemic significantly impacted the mental and emotional health of the elderly, especially those from low to middle-income countries. However, COVID-19 vaccination may reduce this influence. Therefore, we aimed to estimate the effect of vaccination against COVID-19 on the emotional health of older adults. Methods: We selected a national, random, and stratified sample of non-hospitalized adults aged 60 to 79 years from Peru who intended to receive or had already received the COVID-19 vaccine during recruitment. During June and July 2021, the assessed outcomes were fear, anxiety, and worry about COVID-19, general anxiety, and depression at baseline and after a month. We estimated the adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) for each altered emotional health outcome in those who had one and two doses, compared with those who were not vaccinated using multilevel logistic regression with mixed effects. Results: We recruited 861 older adults with 20.8% of loss to follow-up. At baseline, 43.9% had received only one dose of the vaccine, and 49.1% had two doses. In the analysis during follow-up, those who had two doses had less fear (aOR: 0.19; CI 95%: 0.07 to 0.51) and anxiety to COVID-19 (aOR: 0.45; CI 95%: 0.22 to 0.89), compared to unvaccinated. Also, those with two doses were significantly less likely to have fear of COVID-19 (aOR: 0.35; CI 95%: 0.21 to 0.59), anxiety about COVID-19 (aOR: 0.48; CI 95%: 0.34 to 0.68), and worry about COVID-19 (aOR: 0.58; CI 95%: 0.37 to 0.94), compared to those who had only one dose. We observed no effects in those with only one dose compared to unvaccinated. Conclusions: Two doses of COVID-19 vaccination in older adults improves their perception of COVID-19 infection consequences. This information could be integrated into the vaccination campaign as an additional beneficial effect.

Abstract Background The presence of psychosocial risks at work are associated with mental and physical health issues in workers. The study aim was to adapt the COPSOQ-ISTAS21 (Spanish version of the Copenhagen Psychosocial Questionnaire and Union Institute of Work, Environment and Health) Medium-Version to the Peruvian context and to develop a Short-Version of the instrument. Method Cross-sectional design study. The COPSOQ-ISTAS21 Medium Version was used. A confirmatory factor analysis was performed to determine the internal structure of each subdimension (first-order) and dimension (second-order) using the Robust Maximum Likelihood estimation method, and classic fit indices in the literature (CFI, SRMR, RMSEA). Internal consistency was evaluated using the alpha and omega coefficients. A short version was developed based on the items with the highest factorial load and that reduce the factorial complexity. Results A total of 1707 participants were evaluated. In the confirmatory factor analysis, the goodness-of-fit indices for seventeen of the 20 one-dimensional models (subdimensions) were identified; two subdimensions could not be evaluated because they presented only two items. When conducting a multidimensional analysis, we identified that all second-order models presented optimal goodness-of-fit indices, except “psychological demands at work”. Finally, a short version of only 31 items was designed from the items with optimal fit indices. Conclusions The new adapted versions of COPSOQ-ISTAS21 were renamed CENSOPAS-COPSOQ (National center of occupational health and environment protection for health -in Spanish- and Copenhagen Psychosocial Questionnaire). The CENSOPAS-COPSOQ is an instrument with sufficient evidence of validity and reliability in its medium and short version, which is why its use is recommended in Peruvian work centers to identify the evaluation and prevention of psychosocial risks at work in Peru.

BackgroundThe long-lasting impact of the COVID-19 pandemic cannot be overstated. To combat its dire consequences, some screening measures have been hastily developed and require robust verification to explore their adequacy across different groups. The present research study aimed to analyze measurement invariance by sociodemographic characteristics of the Coronavirus Reassurance Seeking Behavior Scale (CRSB) in Peruvian adults.MethodsA total of 661 participants completed The Coronavirus Reassurance Seeking Behavior Scale (CRSB), the Coronavirus Anxiety Scale (CAS), and sociodemographic information a subgroup filled in the Patient Health Questionnaire (PHQ-9). Reliability and measurement invariance across sociodemographic characteristics were analyzed. Likewise, associations with depression and dysfunctional coronavirus anxiety were examined.ResultsResults showed that the single factor structure of the CRSB with correlated errors fitted the data adequately and the instrument was invariant across gender, age, and loss of a significant relative to COVID-19. In addition, significant associations with depressive symptoms and dysfunctional anxiety were found.ConclusionThe findings of the present study suggest that the Coronavirus Reassurance Seeking Behaviors Scale is invariant across different sociodemographic characteristics.

Background: The aims of the study was to evaluate the psychometric properties and to characteristics of a scale on research skills as well as to characterize the experience of university thesis students using information databases (i.e., Scopus or Web of Science) and bibliographic reference managers. Methods: A sample of 1598 university students from five departments, acroos the different campuses of one Peruvian university. The psychometric properties of the instrument were evaluated using factor analysis and measurement invariance according to sex and age groups. In addition, an internal consistency analysis was conducted for scale reliability using Cronbach's alpha, ordinal alpha, and the omega index. Results: Our study identified that the unidimensional model with correlated errors showed adequate indicators of reliability and goodness of fit, with the exception of the RMSEA, which shows values higher than 0.08. Measurement invariance by sex and age group was present. The majority of university students in E-learning showed use of the bibliographic manager Mendeley (52.13%), low ability to use information databases such as Scopus (22.24%) or Web of Science (17.26%), and the least skilled research skills were in formulating the problem, objectives, and hypotheses (51.63%) and carrying out data analysis and processing using statistical techniques (49.37%). Conclusions: The conclusions of the study were that the 8-item research skills instrument presents acceptable psychometric indicators in Peruvian university students in thesis courses. Likewise, a scarce use of global databases, the approach to the research topic, and carrying out its statistical processing.

Background: One of the mental health problems with the greatest impact on people's lives is suicidal behavior, a largely preventable public health problem that accounts for almost half of all violent deaths. The aim of the study is to propose a model that can explain and predict suicidal ideation based on mental health problems (stress-anxiety-depression) and family functionality (cohesion, flexibility, and cohesion). Methods: Our study is cross-sectional. The population consisted of medical interns from all over Peru. Non-probability sampling was used. We used Family Cohesion and Adaptability Evaluation Scale (FACES-III), Family Communication Scale, Family Satisfaction Scale, Depression Anxiety and Stress Scales (DASS-21), and the Scale for Suicide Ideation – Worst (SSI-W). Results: A total of 480 participants were included. The prevalence of suicidal ideation was 39Poisson regression analysis adjusted identified that people with anxiety symptoms were more than four times more likely to have suicidal ideation (PR=4.89; 95% CI:1.90-12.64). Also, people with moderate to high levels of family communication were much less likely to have suicidal ideation (PR= 0.07; 95% CI: 0.01-0.41), making it a protective factor. The proposed model presented optimal goodness-of-fit indices (CFI=0.974; TLI=0.974; SRMR=0.055; RMSEA=0.062). In addition, the proposed model can explain the presence of suicidal ideation in 88.3% (R2=0.883). Conclusions: Our model can explain 88.3% of suicidal behavior based on family relationships and mental health problems in medical interns. In addition, the variables that alone were most associated with suicidal behavior were anxious symptoms and family communication as risk factors and protective factors, respectively.

Abstract Background To assess the validity and reliability of the set of scales (general professional activity, health services management, and working conditions) on the different areas of job satisfaction in Peruvian physicians based on the data from the National Survey of Satisfaction of Users in Health (ENSUSALUD). Method We carried out a psychometric study based on the secondary data analysis of Questionnaire 2 of ENSUSALUD-2016. Participants were selected from a two-stage stratified national probability representative sampling by political region. Validity was assessed by exploratory and confirmatory factor analyses, and measurement invariance analysis. We assessed the reliability using internal consistency coefficients (alpha and omega). The set of scales were composed of items related to three different areas of job satisfaction: 1) satisfaction with general professional activity, 2) satisfaction with the health services management, and 3) satisfaction with the working conditions of the health center. Results We included 2137 participants in the analysis. The general professional activity scale with six items (Comparative Fit Index, CFI = 0.946; Root Mean Square Error of Approximation, RMSEA = 0.071; Standardized Root Mean Square Residual, SRMR = 0.035), the health services management scale with eight items (CFI) = 0.972; RMSEA = 0.081; SRMR = 0.028), showed good measurement properties for the one-dimensional model. The working conditions scale with eight items for individual conditions and three items for infrastructural conditions (CFI = 0.914; RMSEA = 0.080; SRMR = 0.055) presented adequate measurement properties with a two-dimensional model. The invariance analysis showed that comparisons between sex, age, civil status, medical speciality, working in other institutions, work-related illness, chronic disease, and time working in the healthcare center. All scales had adequate internal consistency (ω and α between 0.70 and 0.90). Conclusions The set of scales has a solid factorial structure and measurement invariance, making it possible for group comparison. The study achieved stability in the scores as they showed adequate internal consistency coefficients. Based on our findings, these instruments are suitable for measuring job satisfaction among outpatient physicians throughout Peru, as our data is representative of the country level.

Abstract Background This study has two aims. First, determine the fit of the fear model to COVID-19, anxiety, and post-traumatic stress in the general population and health-care workers. Second, determine which model best explains the relationship between depression and the triad of fear, anxiety, and post-traumatic stress in both groups. Method A cross-sectional study was conducted using self-reported questionnaires for anxiety, fear of COVID-19, depression, and post-traumatic stress. Information was collected from adults living in Lima, the capital and the most populous city in Peru. The explanatory models were evaluated using a structural equation model. Results A total of 830 participants were included, including general population (n = 640) and health-care workers (n = 190). A high overall prevalence of depressive symptoms (16%), anxiety (11.7%), and post-traumatic stress (14.9%) were identified. A higher prevalence of depressive, anxious, or stress symptoms was identified in the general population (28.6%) compared to health-care workers (17.9%). The triad model of fear of COVID-19, anxiety, and stress presented adequate goodness-of-fit indices for both groups. A model was identified that manages to explain depressive symptoms in more than 70% of the general population and health-care workers, based on the variables of the triad (CFI = 0.94; TLI = 0.94; RMSEA = 0.06; SRMR = 0.06). In the general population post-traumatic stress mediated the relationship between anxiety and depression (β = 0.12; 95%CI = 0.06 to 0.18) which was significant, but the indirect effect of post-traumatic stress was not significant in health care workers (β = 0.03; 95%CI = − 0.11 to 0.19). Limitations The prevalence estimates relied on self-reported information. Other variables of interest, such as intolerance to uncertainty or income level, could not be evaluated. Conclusions Our study proposes and tests one model that explains more than 70% of depressive symptoms. This explanatory model can be used in health contexts and populations to determine how emotional factors can affect depressive symptoms.

Objective To evaluate the relationship between job satisfaction, burnout syndrome (BS) and depressive symptoms (DS) based on the job demand–control framework model on a nationally representative sample of physicians working in the Peruvian Health System.Setting We carried out a secondary data analysis of the National Survey of Satisfaction of Users in Health 2016 in Peru.Primary and secondary outcome measures Our study assessed the development of the predictive model and had two parts: (1) to evaluate the association among the variables based on the job demand–control framework, and (2) to assess the proposed model acceptability using the structural equation modelling approach to estimate goodness-of-fit indices (GOFIs).Participants We excluded physicians older than 65 years, who did not report income levels or who had missing data related to the workplace. Thus, we analysed 2100 participants.Results The prevalence of DS was 3.3%. Physicians’ work-related illnesses had more probability to result in DS (prevalence ratio=2.23). DS was moderately related to BS dimensions (r>0.50); nevertheless, the relationships between DS and the three job satisfaction scales were weak (r

BackgroundThe use of technologies has served to reduce gaps in access to treatment, and digital health interventions show promise in the care of mental health problems. However, to understand what and how these interventions work, it is imperative to document the aspects related to their challenging implementation. ObjectiveThe aim of this study was to determine what evidence is available for synchronous digital mental health implementation and to develop a framework, informed by a realist review, to explain what makes digital mental health interventions work for people with mental health problems. MethodsThe SPIDER (Sample, Phenomenon of Interest, Design, Evaluation, and Research type) framework was used to develop the following review question: What makes digital mental health interventions with a synchronous component work on people with mental health problems, including depression, anxiety, or stress, based on implementation, economic, quantitative, qualitative, and mixed methods studies? The MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases were searched from January 1, 2015, to September 2020 with no language restriction. A Measurement Tool to Assess Systematic Reviews-2 (AMSTAR-2) was used to assess the risk of bias and Confidence in Evidence from Reviews of Qualitative Research (CERQual) was used to assess the confidence in cumulative evidence. Realist synthesis analysis allowed for developing a framework on the implementation of synchronous digital mental health using a grounded-theory approach with an emergent approach. ResultsA total of 21 systematic reviews were included in the study. Among these, 90% (n=19) presented a critically low confidence level as assessed with AMSTAR-2. The realist synthesis allowed for the development of three hypotheses to identify the context and mechanisms in which these interventions achieve these outcomes: (1) these interventions reach populations otherwise unable to have access because they do not require the physical presence of the therapist nor the patient, thereby tackling geographic barriers posed by in-person therapy; (2) these interventions reach populations otherwise unable to have access because they can be successfully delivered by nonspecialists, which makes them more cost-effective to implement in health services; and (3) these interventions are acceptable and show good results in satisfaction because they require less need of disclosure and provide more privacy, comfortability, and participation, enabling the establishment of rapport with the therapist. ConclusionsWe developed a framework with three hypotheses that explain what makes digital mental health interventions with a synchronous component work on people with mental health problems. Each hypothesis represents essential outcomes in the implementation process. Trial RegistrationPROSPERO International Prospective Register of Systematic Reviews CRD42020203811; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020203811 International Registered Report Identifier (IRRID)RR2-10.12688/f1000research.27150.2

BackgroundThe COVID-19 pandemic has had a profound impact on both mental health and working conditions. Workplaces are conducive spaces for implementing strategies and interventions to promote mental health. In addition to this, they are preventing, identifying, and managing mental disorders effectively. Although international agencies have identified some guidelines for the management of mental health in the workplace in the context of the COVID-19 pandemic, a more precise characterization of both the components of the policies, their implementation, and evidence of the outcome is required to provide useful information for decision-makers.ObjectivesThis study aims to synthesize scientific information regarding national and local policies focusing on preventing or improving, directly or indirectly, mental health problems in the workplace during COVID-19 pandemic.MethodsOur study is a scoping review. The Scopus, Web of Science, and Embase databases and PubMed search engine were used. Original and reviewed articles published from January 1, 2020 to October 14, 2021 were included in the research. Articles with abstract or full text in English, Spanish, German and Portuguese were also included. Our strategy is based on identifying policies (intervention) which focuses on directly or indirectly preventing or ameliorating mental health problems in the workplace during COVID-19 pandemic (participants).ResultsA total of 6,522 records were identified, and only four studies were included in the scoping review, which were of low quality. That is, we found limited evidence evaluating mental health policies using primary or secondary data (empirical evaluation). Among the policies that have been identified are the increase of mental health resources, the promotion of mental health and self-care support programs, and the reduction of barriers to access to mental health treatment.ConclusionOur research finds that there is limited evidence available to evaluate national and local policies aimed at directly or indirectly preventing or ameliorating mental health problems at work during COVID-19 pandemic. This forces decision-makers to use different criteria to guide the allocation of resources and budgets. Therefore, there is a need for health intelligence teams in health systems to be able to assess the impact of policies as an important input for decision-makers.

Background: During the COVID-19 pandemic, it has been necessary to deliver mental health care using technologies (e-mental health). But there have been difficulties in its application. Quantitative systematic reviews such as meta-analysis doesn’t allow us to fully identify and properly describe this subject. Thus, our study has two main objectives: a) "to determine what evidence is available for synchronous e-mental health implementation"; and b) "to develop a framework informed by a realist analysis for the implementation of synchronous e-mental health". Methods: We will search MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases from 1st January 2015 to September 2020, with no language restriction. A systematic review with a narrative description and a realist synthesis will be conducted. Primary studies relating to adults with common mental health problems using any type of mobile mental health intervention that includes a synchronic component and communication with a mental health professional will be included. For the analysis, we will make a realist synthesis of the systematic reviews, using a grounded theory approach with an emergent approach to synthesize the information, prioritizing the systematic reviews with a lower risk of bias in the AMSTAR-2 tool. The realist synthesis will be based on the interpretation, integration, and inference of the evaluated elements and the generation of hypotheses to better understand the implementation process of synchronous e-mental health. Finally, we will present the overall assessment in a Summary of Qualitative Findings table. Conclusion: Our results will allow a better understanding of the facilitator and limitations in implementing e-mental health.

Objetivos. Evaluar las propiedades psicométricas de la escala para medir la satisfacción de los usuarios de consulta médica ambulatoria (ESCOMA) en Instituciones Prestadoras de Servicios de Salud (IPRESS) del sistema de salud peruano (SSP). Materiales y Métodos. Llevamos a cabo un estudio de tipo instrumental con los datos del Cuestionario 1 de la Encuesta Nacional de Satisfacción de Usuarios de Salud (ENSUSALUD) del 2016; en la cual se administró una escala inicial de 19 ítems construidos por revisión bibliográfica, juicio de expertos y estudio piloto. Realizamos un análisis factorial exploratorio (AFE) para valorar la estructura interna de la escala y luego un análisis factorial confirmatorio (AFC) mediante el método de estimación de máxima verosimilitud robusta. Finalmente, desarrollamos análisis de invarianza de medición y evaluamos la confiabilidad con el coeficiente omega de McDonald. Resultados. Analizamos 13 814 observaciones en dos submuestras aleatorias para el AFE con lo cual definimos un modelo de tres dimensiones con 18 ítems. En el AFC encontramos índices de bondad de ajuste aceptables (CFI=0,945; TLI=0,937; SRMR=0,036). Las dimensiones resultantes fueron: procesos administrativos, infraestructura y atención médica. Evidenciamos invarianza fuerte para la edad, sexo, nivel educativo y región, e invarianza parcial para el tipo de institución (Ministerio de Salud, Seguro Social, Fuerzas Armadas y Policiales, y Clínicas Privadas). Todos los coeficientes de confiabilidad fueron adecuados (0,86ω0,92). Conclusiones. La ESCOMA presenta evidencia de validez y confiabilidad a nivel estructural y de invarianza de medición a diferentes niveles de atención y a nivel nacional en Perú.

Abstract Background Clinical Practice Guidelines (CPGs) should follow an adequate methodology using an evidence-based approach in order to provide reliable recommendations. However, little is known regarding the quality of CPGs for Depression, which precludes its adequate use by stakeholders and mental health professionals. Thus, the aim of this study was to conduct a scoping review to describe the characteristics and quality of CPGs for Depression in adults. Methods We searched CPGs for Depression in adults in eighteen databases. We included those that were published in English or Spanish between January 2014 and May 2018 and were based on systematic reviews of the evidence. Two independent authors extracted the characteristics, type and number of recommendations, and quality (using the Appraisal of Guidelines for Research and Evaluation-II [AGREE-II]) of each included CPG. Results We included eleven CPGs, of which 9/11 did not include the participation of patients in the development of the CPG, 4/11 CPGs had a score ≥ 70% in the overall evaluation of AGREE-II, and 3/11 CPGs had a score ≥ 70% in its third domain (rigor of development). In addition, only 5/11 CPGs shared their search strategy, while only 4/11 listed the selected studies they used to reach recommendations, and 7/11 CPGs did not clearly state which methodology they used to translate evidence into a recommendation. Conclusions Most of evaluated CPGs did not take into account the patient’s viewpoints, achieved a low score in the rigor of development domain, and did not clearly state the process used to reach the recommendations. Stakeholders, CPCGs developers, and CPGs users should take this into account when choosing CPGs, and interpreting and putting into practice their issued recommendations.

BackgroundThe COVID-19 pandemic had negatively impact mental health worldwide. High prevalence of stress had been previously reported in populations during this context. Many theoretical frameworks had been proposed for explaining the stress process, we aim to proposed and explanatory model for the genesis of perceived stress in Peruvian general population.MethodWe conducted an online survey in Peruvian general population assessing sociodemographic variables and evaluating mental health conditions by using The Perceived Stress Scale (PSS-10), Positive Affect and Negative Affect Scale (PANAS), Generalized Anxiety Disorder scale (GAD-7), Patient Health Questionnaire (PHQ-9), and a numerical rating scale (NRS) for fear of COVID-19. Correlation analysis was conducted for the variables of interest. Two regression models were constructed to explore related factor to the dimensions of perceived stress. Finally, a structural regression model was performed with the independent variables.ResultsData of 210 individuals was analyzed. Ages ranged from 15 to 74 years and 39% were women. Additionally, 65.2% of the participants had at least one mental health conditions (depression, anxiety, or stress symptoms). Perceived self-efficacy and positive affect (PA) were correlated, as perceived helplessness with anxious symptoms and negative affect (NA). Regression analysis showed that sex, anxiety symptoms, and NA explained perceived helplessness while positive and NA explained self-efficacy. The structural regression model analysis identified that fear of COVID-19 (composed of fear of infecting others and fear of contagion), predicted mental health conditions (i.e., depressive or anxiety symptoms); also, mental health conditions were predicted by PA and NA. Perceived helplessness and Perceived self-efficacy were interrelated and represented the perceived stress variable.ConclusionWe proposed an explanatory model of perceived stress based on two correlated dimensions (self-efficacy and helplessness) in the Peruvian general population during the context of the COVID-19 pandemic, with two out of three individuals surveyed having at least one mental health condition.

Objectives This study aimed to estimate the trends in the prevalence and treatment of depressive symptoms using nationally representative surveys in Peru from 2014 to 2018.Design A secondary analysis was conducted using five nationally representative surveys carried out consecutively in the years between 2014 and 2018.Setting The study was conducted in Peru.Participants Individuals, men and women, aged ≥15 years who participated in the selected surveys. Sampling was probabilistic using a two-stage approach.Main outcome measures Two versions of the Patient Health Questionnaire (PHQ-9) that focused on the presence of depressive symptoms were administered (one in the last 2 weeks and other in the last year). Scores ≥15 were used as the cut-off point in both versions of the PHQ-9 to define the presence of depressive symptoms. Also, the treatment rate was based on the proportion of individuals who had experienced depressive symptoms in the last year and who had self-reported having received specific treatment for these symptoms. The age-standardised prevalence was estimated.Results A total of 161 061 participants were included. There was no evidence of a change in age-standardised prevalence rates of depressive symptoms at the 2 weeks prior to the point of data collection (2.6% in 2014 to 2.3% in 2018), or in the last year (6.3% in 2014 to 6.2% in 2018). Furthermore, no change was found in the proportion of depressive cases treated in the last year (14.6% in 2014 to 14.4% in 2018). Rural areas and individuals with low-level of wealth had lower proportion of depressive cases treated.Conclusions No changes in trends of rates of depressive symptoms or in the proportion of depressive cases treated were observed. This suggests the need to reduce the treatment gap considering social determinants associated with inequality in access to adequate therapy.

El objetivo del estudio consistió en analizar si existen diferencias significativas entre la cohesión y adaptabilidad familiar según el tipo de composición familiar (nuclear, extensa, monoparental y anuclear). Esta es una investigación no experimental, de tipo empírica, en la que se empleó una estrategia asociativa selectiva no probabilística y transversal; se evaluó a 428 adolescentes varones y mujeres, entre 14 a 18 años, estudiantes en un colegio nacional del Callao. Se utilizó la escala de evaluación de la cohesión y la adaptabilidad familiar de Olson (FACES III) y un cuestionario ad hoc para evaluar la composición familiar. Los resultados muestran diferencias significativas entre los adolescentes pertenecientes a familias nucleares y anucleares. Se discuten implicaciones teóricas y prácticas.

ObjectivesIn the last decade, Latin American (LA) countries, like Peru, have undergone an epidemiological transition that has changed the pattern of oncological cases. Given that Peru's oncological pattern could illustrate those of other LA countries, we aimed at determining trends and changes in cancer-related mortality by age and sex in Peru between 2003 and 2016.Methods and resultsA secondary data analysis using national deaths registries was conducted. Categories were created according to the 27 most frequent sites of presentation of cancer. We found that deaths attributed to cancer increased from 15.4% of all deaths in 2003 to 18.1% in 2016 (pConclusionsBetween the years 2003 and 2016, almost one fifth of deaths were attributed to cancer in Peru. Absolute and relative number of deaths due to cancer has increased in this period for both men and women; however, standardized mortality rates due to cancer have declined.

Dear editor, Flower Remedies, also known as “Bach Flowers Remedies” in honor of their creator —the English homeopath Edward Bach (1886-1936)— claim that water can acquire healing properties when certain wild flowers are submerged in it. Despite the lack of biological plausibility, this type of therapy is taught and used by health professionals, such as doctors and psychologists, to treat various mental conditions including anxiety, stress or depression.

El objetivo del presente trabajo es analizar las propiedades psicométricas de la Escala de Comunicación Familiar (FCS) en una muestra de 491 estudiantes de una universidad privada en Lima Metropolitana, cuyas edades oscilan entre 16 y 28 años (M = 20.31, DE = 3.08). La muestra se dividió en dos grupos proporcionales. En el primero se realizó un análisis factorial exploratorio, χ. (45) = 966.8, p < .001, n = 246, para comparar los índices de bondad de ajuste en modelos de uno, dos y tres factores y encontrar un mejor ajuste en una solución unifactorial GFI = .99, RMCR = .06. Posteriormente, en el segundo grupo, se llevó a cabo el análisis factorial confirmatorio al comparar soluciones de uno, dos y tres factores. Se evidenció un mejor ajuste en un modelo de una dimensión χ. = 80.31; χ./gl = 2.36; CFI = 1.00; GFI = .995; AGFI = .992; RMSEA = .000; RMR = .050 (n = 245). Se analizaron los errores del modelo y la invarianza por sexo y, finalmente, se estableció la confiabilidad con diferentes estimadores del alfa. Se obtuvo un alto nivel de consistencia interna. Se concluye que la FCS presenta adecuadas propiedades psicométricas, que apoyan su uso como instrumento de evaluación de la comunicación familiar en universitarios.

OBJECTIVE:Analyze the measurement invariance and the factor structure of the Patient Health Questionnaire-9 (PHQ-9) in the Peruvian population. METHOD:Secondary data analysis performed using cross-sectional data from the Health Questionnaire of the Demographic and Health Survey in Peru. Variables of interest were the PHQ-9 and demographic characteristics (sex, age group, level of education, socioeconomic status, marital status, and area of residence). Factor structure was evaluated by standard confirmatory factor analysis (CFA), and measurement invariance by multi-group CFA, using standard goodness-of-fit indices criteria for interpreting results from both CFAs. Analysis of the internal consistency (α and ω) was also pursued. RESULTS:Data from 30,449 study participants were analyzed, 56.7% were women, average age was 40.5 years (standard deviation (SD) = 16.3), 65.9% lived in urban areas, 74.6% were married, and had 9 years of education on average (SD = 4.6). From standard CFA, a one-dimensional model presented the best fit (CFI = 0.936; RMSEA = 0.089; SRMR = 0.039). From multi-group CFA, all progressively restricted models had ΔCFI

This theoretical study aims to provide a conceptual and technical approach to systemic family therapy (SFT). The work starts pointing the postulates of general systems theory, cybernetics second-order theory of human communication practice-oriented representation, the conception of the family, their evolutionary cycle stages of crisis vivencian as you get to form a therapeutic system. It is concluded that the approach is empirical evidence has, holding, and today the SFT is becoming abandoning and / or reinventing some of its original tenets of new constructs.

La presente investigación tuvo como objetivo analizar las propiedades psicométricas de la Escala de Satisfacción Familiar (FSS) en una muestra de 607 estudiantes de una universidad privada en Lima Metropolitana, con edades que oscilan entre 16 a 28 años. Se tradujo la escala con el método de traducción inversa; se realizaron análisis factorial exploratorio y confirmatorio, identificando valores óptimos para una solución unifactorial. Asimismo, se analizó la relación con la variable comunicación familiar, que señala una correlación positiva, directa y con un tamaño del efecto moderado. En el análisis de invarianza según sexo, se encontró un nivel de invarianza débil. Finalmente, se reportan valores óptimos de confiabilidad. Se concluye que la FSS presenta evidencias de validez y confiabilidad, recomendando su uso.

Background: The COVID-19 pandemic significantly impacted the mental and emotional health of the elderly, especially those from low to middle-income countries. However, COVID-19 vaccination may reduce this influence. Therefore, we aimed to estimate the effect of vaccination against COVID-19 on the emotional health of older adults. Methods: We selected a national, random, and stratified sample of non-hospitalized adults aged 60 to 79 years from Peru who intended to receive or had already received the COVID-19 vaccine during recruitment. During June and July 2021, the assessed outcomes were the fear, anxiety, and worry about COVID-19, general anxiety, and depression at baseline and after a month. We estimated the adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) for each altered emotional health outcomes in those who had one and two doses, compared with those who were not vaccinated using multilevel logistic regression with mixed effects. Results: We recruited 861 older adults with 20.8% of loss to follow-up. At baseline, 43.9% had received only one dose of the vaccine, and 49.1% had two doses. In the analysis during follow-up, those who had two doses had less fear (aOR: 0.19; CI 95%: 0.07 to 0.51) and anxiety to COVID-19 (aOR: 0.45; CI 95%: 0.22 to 0.89), compared to unvaccinated. We observed no effects in those with only one dose. Conclusions: Two doses of COVID-19 vaccination in older adults improves their perception of COVID-19 infection consequences. This information could be integrated into the vaccination campaign as an additional beneficial effect.

Background: During the COVID-19 pandemic, it has been necessary to incorporate technologies in the care of mental health problems. But there have been difficulties in the application of technology-based interventions in mental health. Some quantitative systematic reviews don’t allow us to fully identify and properly describe this subject. In order to answer the question 'how do electronic interventions apply in mental health and what makes the application of any of these interventions work', this study will carry out an overview of systematic reviews, which will make it possible to develop a theoretical framework on the implementation of electronic care in mental health problems. Methods: We will search MEDLINE, EBM Reviews, PsycINFO, EMBASE, SCOPUS, CINAHL Complete, and Web of Science databases from 1st January 2015 to September 2020, with no language restriction. We will follow a qualitative method approach and include systematic reviews that assess primary studies relating to adults with common mental health problems using any type of mobile mental health intervention that includes a synchronic component and communication with a mental health professional. For the analysis, we will make a meta-synthesis of the systematic reviews, using an emergent grounded theory approach to synthesize the information, prioritizing the systematic reviews with the lowest risk of bias in the AMSTAR-2 tool. The meta-synthesis will be based on interpreting, integrating, and inferring the evaluation elements to understand better the e-health implementation process for patients with mental health problems. Finally, we will present the overall assessment in a Summary of Qualitative Findings table. Conclusion: Our results will allow a better understanding of the facilitator and limitations in implementing e-health interventions for mental health problems.