Psychometric Assessment of an Item Bank for Adaptive Testing on Patient-Reported Experience of Care Environment for Severe Mental Illness: Validation Study.

BACKGROUND: The care environment significantly influences the experiences of patients with severe mental illness and the quality of their care. While a welcoming and stimulating environment enhances patient satisfaction and health outcomes, psychiatric facilities often prioritize staff workflow over patient needs. Addressing these challenges is crucial to improving patient experiences and outcomes in mental health care. OBJECTIVE: This study is part of the Patient-Reported Experience Measure for Improving Quality of Care in Mental Health (PREMIUM) project and aims to establish an item bank (PREMIUM-CE) and to develop computerized adaptive tests (CATs) to measure the experience of the care environment of adult patients with schizophrenia, bipolar disorder, or major depressive disorder. METHODS: We performed psychometric analyses including assessments of item response theory (IRT) model assumptions, IRT model fit, differential item functioning (DIF), item bank validity, and CAT simulations. RESULTS: In this multicenter cross-sectional study, 498 patients were recruited from outpatient and inpatient settings. The final PREMIUM-CE 13-item bank was sufficiently unidimensional (root mean square error of approximation=0.082, 95% CI 0.067-0.097; comparative fit index=0.974; Tucker-Lewis index=0.968) and showed an adequate fit to the IRT model (infit mean square statistic ranging between 0.7 and 1.0). DIF analysis revealed no item biases according to gender, health care settings, diagnosis, or mode of study participation. PREMIUM-CE scores correlated strongly with satisfaction measures (r=0.69-0.78; P<.001) and weakly with quality-of-life measures (r=0.11-0.21; P<.001). CAT simulations showed a strong correlation (r=0.98) between CAT scores and those of the full item bank, and around 79.5% (396/498) of the participants obtained a reliable score with the administration of an average of 7 items. CONCLUSIONS: The PREMIUM-CE item bank and its CAT version have shown excellent psychometric properties, making them reliable measures for evaluating the patient experience of the care environment among adults with severe mental illness in both outpatient and inpatient settings. These measures are a valuable addition to the existing landscape of patient experience assessment, capturing what truly matters to patients and enhancing the understanding of their care experiences. TRIAL REGISTRATION: ClinicalTrials.gov NCT02491866; https://clinicaltrials.gov/study/NCT02491866.

Severe mental illness and mortality in sepsis and septic shock: a systematic review and meta-analysis.

BACKGROUND: There have been conflicting reports regarding the case-fatality outcomes associated with sepsis and septic shock in patients with severe mental illness (SMI). METHODS: We searched Medline®, Web of Science® and the Cochrane Library® databases (from inception to 4-July-2023) for papers reporting outcomes associated with sepsis and septic shock in adult with (cases) vs. without SMI (controls). The main study outcome was the unadjusted case-fatality rate at hospital discharge, or 30 days if unavailable. Secondary outcomes included the rates of adjusted case-fatality at hospital discharge. RESULTS: A total of six studies were included in the systematic review, of which four provided data for meta-analysis involving 2,124,072 patients. Compared to controls, patients with SMI were younger and more frequently women. Unadjusted analyses showed that SMI patients had a lower case-fatality rate associated with sepsis and septic shock than their non-SMI counterparts (OR 0.61, 95% CI [0.58-0.65], PI 95% CI [0.49-0.77], I2 = 91%). Meta-regression and subgroup analyses showed that the denominator of the study population (i.e. septic shock or sepsis) was associated with the outcome with an R2 of 59.7%. CONCLUSION: In conclusion, our study reveals a survival advantage of SMI patients over their non-SMI counterparts. Further research is needed to fully elucidate the mechanisms involved and to develop targeted interventions that can improve the prognosis of both SMI and non-SMI patients facing sepsis.

Crack-Resistant and Tissue-Like Artificial Muscles with Low Temperature Activation and High Power Density.

Constructing soft robotics with safe human-machine interactions requires low-modulus, high-power-density artificial muscles that are sensitive to gentle stimuli. In addition, the ability to resist crack propagation during long-term actuation cycles is essential for a long service life. Herein, a material design is proposed to combine all these desirable attributes in a single artificial muscle platform. The design involves the molecular engineering of a liquid crystalline network with crystallizable segments and an ethylene glycol flexible spacer. A high degree of crystallinity can be afforded by utilizing aza-Michael chemistry to produce a low covalent crosslinking density, resulting in crack-insensitivity with a high fracture energy of 33 720 J m-2 and a high fatigue threshold of 2250 J m-2. Such crack-resistant artificial muscle with tissue-matched modulus of 0.7 MPa can generate a high power density of 450 W kg-1 at a low temperature of 40 °C. Notably, because of the presence of crystalline domains in the actuated state, no crack propagation is observed after 500 heating-cooling actuation cycles under a static load of 220 kPa. This study points to a pathway for the creation of artificial muscles merging seemingly disparate, but desirable properties, broadening their application potential in smart devices.

Unmasking the triad of burnout, absenteeism, and poor sleep among healthcare workers during the third wave of COVID-19 pandemics. Results from the national AMADEUS study.

BACKGROUND: Burnout and absenteeism are prevalent among healthcare workers, reflecting prolonged work-related stress and dissatisfaction with their job. Identifying poor sleep as a contributing factor can assist in developing targeted interventions. This study explored the relationship between burnout, absenteeism, and sleep among healthcare workers. METHODS: A nationwide online cross-sectional study was conducted among healthcare professionals in France during the third wave of COVID-19, from May 2021 to June 2021. Recruitment strategies included outreach through social and professional networks and email invitations. Burnout was assessed using the Maslach Burnout Inventory, absenteeism through self-reported days absent in the preceding 12 months, and sleep quality using the Pittsburgh Sleep Quality Index. The association between burnout, absenteeism, and poor sleep was analyzed using multivariate logistic regression, accounting for individual and professional variables. The study also explored various sleep dimension abnormalities. RESULTS: Of 10,087 healthcare workers, 55.2 % reported burnout, 20.5 % absenteeism, and 64.8 % poor sleep. Burnout and absenteeism were more frequent in individuals with poor sleep compared to those with good sleep (74.2 % vs. 25.8 % and 75.6 % vs. 24.4 %, respectively). The multivariate analyses confirmed the associations between burnout, absenteeism, and poor sleep (Adjusted Odds Ratio [aOR] = 2.15, 95 % CI [1.97-2.35], p < 0.001; and aOR = 1.49, 95 % CI [1.32-1.67], p < 0.001, respectively). INTERPRETATION: The study highlighted the intricate relationship between burnout, absenteeism, and poor sleep among healthcare professionals, informing workforce management and policy decisions to foster a supportive work environment and enhance their well-being.

Corrigendum to "Financing for HIV/AIDS in the dual transition of epidemics and economy: the 10-year experience of Vietnam" [The Lancet Regional Health - Western Pacific 38 (2023) 100886].

[This corrects the article DOI: 10.1016/j.lanwpc.2023.100886.].

Poverty and inequality in real-world schizophrenia: a national study.

Background: Schizophrenia has high socioeconomic impact among severe psychiatric disorders. Aims: To explore clinician-reported and patient-reported inequities between patients under the poverty threshold vs. the others. Method: 916 patients consecutively recruited in 10 national centers received a comprehensive standardized evaluation of illness severity, addictions and patient-reported outcomes. Results: 739 (80.7%) of the patients were classified in the poverty group. This group had poorer objective illness outcomes (lower positive, negative, cognitive, excitement/aggressive and self-neglect symptoms and lifetime history of planned suicide) in multivariate analyses. While they had similar access to treatments and psychotherapy, they had lower access to socially useful activities, couple's life, housing and parenthood. They had also more disturbed metabolic parameters. On the contrary, the poverty group reported better self-esteem. No significant difference for depression, risky health behavior including addictions and sedentary behavior was found. Interpretation: The equity in access to care is attributed to the French social system. However, mental and physical health remain poorer in these patients, and they still experience poor access to social roles independently of illness severity and despite healthcare interventions. These patients may have paradoxically better self-esteem due to decreased contact with society and therefore lower stigma exposure (especially at work). Schizophrenia presents itself as a distinct impoverished population concerning health-related outcomes and social integration, warranting focus in public health initiatives and improved treatment, including tailored interventions, collaborative care models, accessible mental health services, housing support, vocational training and employment support, community integration, education and awareness, research and data collection, culturally competent approaches, and long-term support.

Toward sustainable development goals in gender inequality: an analysis of gender preferences among urban pregnant women in a Southeast Asian country.

BACKGROUND: Gender-biased discrimination and preferences are global phenomena, particularly son preferences. However, updated evidence about this issue in Vietnam has not yet been provided. Therefore, this study aimed to examine the gender preferences among pregnant women and identify associated factors of such preferences. METHODS: A cross-sectional survey was conducted in two hospitals in Vietnam with 732 pregnant women. Gender preferences for their child were asked, along with socio-demographic (e.g., education, occupation) and pregnancy characteristics (e.g., pressure to have a son, gender of first child, the importance to have a son of family members, and information sources on pregnancy care) by using face-to-face interviews and a structured questionnaire. Multinomial logistic regression was performed to determine factors associated with gender preferences. RESULTS: About 51.9% of the participants had no gender preference, while, among those who had a gender preference, 26.5% preferred sons, and 21.6% preferred daughters. Only 6.2% had pressure to have a son. Having the first child who was female (OR = 4.16, 95%CI = 1.54-11.25), having the pressure to have a son (OR = 6.77, 95%CI = 2.06-22.26), and higher self-perceived importance to have a son (OR = 3.05, 95%CI = 1.85-5.02) were positively associated with son preference. Otherwise, women having partners with high school education or above (OR = 2.04, 95%CI = 1.06-3.91), living with parents-in-law (OR = 2.33; 95%CI = 1.25-4.34), the higher number of pregnancies, and a higher degree of importance in having a son regarding parents-in-law (OR = 2.15, 95%CI = 1.38-3.35) associated with higher odds of preferring daughter. CONCLUSION: This study showed that gender preference was common among pregnant women, but the pressure to have a son was low. Further education programs and legal institutions should be implemented to improve gender inequality and gender preference in society.

Association between physical activity and health in healthcare professionals : Results from the nationwide AMADEUS survey.

OBJECTIVE: The objective of this study was to assess the prevalence of healthcare professionals engaging in insufficient levels of physical activity (PA) and to identify sociodemographic, professional and health characteristics associated with insufficient PA levels. METHODS: We conducted a nationwide online cross-sectional study targeting healthcare professionals in France from May 2021 to June 2021. Participant recruitment involved outreach through social networks, professional networks, and email invitations. PA levels were assessed using the International Physical Activity Questionnaire (IPAQ), with insufficient PA defined as weekly PA totaling less than 600 mets/week. RESULTS: The study included a total of 10,325 participants, of whom 3939 (38.1%, 95% confidence interval 37.1-39.0%) exhibited insufficient levels of PA. In the multivariable analysis, we identified factors associated with insufficient PA: ages between 35-44 (aOR=1.58, 95%CI [1.21-2.06], p=.001) and 45-54 years (aOR=1.40, 95%CI [1.07-1.83], p =.015), gender (female aOR=1.47, 95%CI [1.12-1.44], p<.001), and professions including health executive (aOR=1.27, 95%CI [1.32-1.64], p<.001), nurse assistant (aOR=1.25, 95%CI [1.07-1.47], p=.006), and physician (aOR=1.18, 95%CI [1.03-1.34], p=.015). Additionally, burnout (aOR=1.32, 95%CI [1.21-1.44], p<.001), tobacco use (aOR=1.33, 95%CI [1.20-1.58], p<.001), being overweight (aOR=1.39, 95%CI [1.28-1.52], p<.001), major depression (aOR=1.44, 95%CI [1.20-1.47], p<.001), and sleep disorders (aOR=1.14, 95%CI [1.05-1.25], p=.002) were associated with insufficient PA. Work night shifts was associated with sufficient PA. CONCLUSION: Our study has revealed a substantial prevalence of healthcare professionals with insufficient PA levels. This prevalence, coupled with various associated health-damaging behaviors and mental health issues, underscores the importance of acknowledging the barriers they encounter in adopting a physically active lifestyle.

Enhancing patient experience assessment with psychological care in severe mental disorders: A study of the PREMIUM program.

Incorporating the experiences of patients with severe mental disorders (SMD) into clinical practice offers valuable insights for optimizing psychological care's effectiveness with more patient-centered and personalized interventions. The study aimed to develop a patient-reported experience measure regarding psychological care (PREMIUM-PSY) using adaptive testing and investigate its association with quality of life. In a multicenter study involving 443 patients with SMD, PREMIUM-PSY demonstrated both validity and efficiency (6-item average). Positive patient experiences were associated with enhanced mental and physical quality of life (ß = 3.15[2.17;4.12], p < 0.001 and ß = 1.18[0.04;2.32], p = 0.042), suggesting PREMIUM-PSY's potential for optimizing psychological care outcomes.

Structural Equation Model for Social Support and Quality of Life Among Individuals With Mental Health Disorders During the COVID-19 Pandemic.

BACKGROUND: In light of the COVID-19 pandemic, the distribution of social support for mental health problems has likely become unequal. Family- and community-based social support has been recognized as a promising approach for mental disorders; however, limited global frameworks have been applied to developing countries such as Vietnam. OBJECTIVE: The aim of this study was to evaluate the quality of life and social support among patients with mental health disorders in Vietnam and to investigate the factors associated with quality of life among these patients. METHODS: A cross-sectional study was conducted on 222 psychiatric patients in Hanoi from 2020 to 2022. A structured questionnaire was developed based on four standardized scales: Mental Well-Being-5 scale, Multidimensional Scale of Perceived Social Support, EuroQoL-visual analog scale (EQ-VAS), and EuroQoL-5 dimensions-5 levels (EQ-5D-5L) scale. Tobit regression was used to identify factors associated with the EQ-5D-5L and EQ-VAS scores. Structural equation modeling was applied to verify the relationship between quality of life and social support. RESULTS: The results showed that perceived support from family scored the highest compared to support from friends and significant others. Patients with depression reported the lowest quality of life and perceived social support. Structural equation modeling showed a root mean square error of approximation of 0.055 (90% CI 0.006-0.090), comparative fit index of 0.954, Tucker-Lewis index of 0.892, and standardized root mean squared error of 0.036 (P<.001). The hypothetical model indicated statistically significant correlations between EQ-VAS score and social support (P=.004), EQ-5D-5L and mental well-being (P<.001), and social support and mental well-being (P<.001). Critical deterioration of quality of life and inconsistency in social support for patients with mental illness were also recorded. CONCLUSIONS: There is a need to enhance social support and service delivery in Vietnam, focusing on occupation and quality of life. The correlations between social support, quality of life, and mental health issues suggest the potential of a clinical-social integrated intervention model of care.

Social and Economic Impacts of COVID-19 Among Health Professionals in Vietnam: Status and Associations with Quality of Life and Sleep Quality.

PURPOSE: The COVID-19 pandemic has transformed the way of life of many individuals, especially those working at the frontlines, such as healthcare workers. Our study aims to examine the impact of COVID-19 on the socio-economic status, quality of life, and sleep quality when Vietnam was experiencing the 4th wave of the COVID-19 pandemic. METHODS: A cross-sectional study was conducted on 604 healthcare workers using snowball sampling from October through to November 2021. Our study examined the impact of the government's COVID-19 prevention policy including personal protective measures (5K measures), directive 15, directive 16, and directive 16 plus. The EQ-5D-5L and EQ-VAS were used to measure health-related quality of life and a scale of 1 to 10 was used to rate sleep quality of healthcare workers. RESULTS: A total of 604 respondents, most people were female (57.9%), and working as civil servants (75.3%). Very few participants were able to increase their earnings during the pandemic. Participants who did not have monthly allowance amounts had the highest proportion (60.1%), followed by those under 2 million VND (21.2%). In the univariate regression model, people with high government policy scores tend to have lower quality of life and sleep quality scores. In addition, in the multivariable regression model, people with high scores on government policies tend to have lower quality of life (EQ-5D) scores. CONCLUSION: The COVID-19 prevention measures had a negative impact on quality of life, sleep quality, and daily demands of healthcare workers. These findings should help guide future policy implementations.

Sleep timing, workplace well-being and mental health in healthcare workers.

INTRODUCTION: Healthcare workers face an elevated risk of burnout, sleep disorders, and mental health issues, potentially stemming from the misalignment of their circadian rhythm due to nonstandard work schedules. This cross-sectional survey aims to examine the connections between sleep timing, workplace well-being (including burnout and absenteeism), and mental health outcomes (specifically depression and poor sleep) in healthcare workers. Additionally, the survey takes into account individual and professional factors, as well as the interaction with work schedules. METHODS: The study encompasses 4,971 healthcare workers from both public and private healthcare facilities in France, including nurses, nursing assistants, and physicians recruited during the third wave of the COVID-19 pandemic. The Maslach Burnout Inventory assesses burnout, the Center for Epidemiologic Studies Depression Scale measures depression, and the Pittsburgh Sleep Quality Index evaluates poor sleep. Sleep timing is categorized into morning, neutral, and evening timing, referred to as midsleep. Multivariate logistic regression analysis is conducted to explore the relationships between sleep timing and burnout, depression, and poor sleep, while adjusting for various factors. RESULTS: The findings reveal that 56.5% of participants experience burnout, 29.8% report depression, and 64.5% report poor sleep. Nurses and nursing assistants exhibit a higher prevalence of poor sleep. Morning sleep timing is associated with burnout among those with fixed schedules and with depression among those with shift schedules. Among physicians, both morning and evening sleep timing are associated with depression, while morning sleep timing is linked to poor sleep across all subgroups. INTERPRETATION: This study suggests that the misalignment between healthcare workers' internal circadian rhythm and their work schedules may contribute to an increased risk of burnout, depression, and poor sleep. Occupational health services and policymakers should recognize the potential for enhancing workplace well-being and mental health outcomes by enabling healthcare workers to maintain sleep schedules that accommodate their needs.

Management of brain metastasis from rectal cancer using whole­brain radiation therapy followed by bevacizumab and chemotherapy: A case report.

Brain metastases in colorectal cancer are uncommon, which has resulted in a shortage of data concerning their screening and management. Multiple therapeutic modalities with chemotherapy, chemoradiation and targeted therapy, including bevacizumab and cetuximab regimens, have shown promising results. The present study describes the case of a 47-year-old male, diagnosed with T4N2M1 rectal cancer who underwent systemic therapy with modified FOLFOXIRI and cetuximab. The patient achieved a complete clinical response after 12 cycles. Following the discontinuation of cetuximab, the patient was given capecitabine as a maintenance therapy and subsequently developed brain metastasis. The patient received whole-brain radiation therapy (WBRT) followed by a bevacizumab plus FOLFIRI regimen. The patient showed a good response as revealed by cranial magnetic resonance imaging, with a reduction in lesion size and no sign of cerebral edema. In addition, the patient maintained a stable neurological condition for >10 months. These findings suggest that the early detection of brain metastases requires the close monitoring of neurological symptoms. In addition, WBRT followed by bevacizumab and chemotherapy is a potential management plan for brain metastasis from rectal cancer.

ChatGPT: promise and challenges for deployment in low- and middle-income countries.

In low- and middle-income countries (LMICs), the fields of medicine and public health grapple with numerous challenges that continue to hinder patients' access to healthcare services. ChatGPT, a publicly accessible chatbot, has emerged as a potential tool in aiding public health efforts in LMICs. This viewpoint details the potential benefits of employing ChatGPT in LMICs to improve medicine and public health encompassing a broad spectrum of domains ranging from health literacy, screening, triaging, remote healthcare support, mental health support, multilingual capabilities, healthcare communication and documentation, medical training and education, and support for healthcare professionals. Additionally, we also share potential concerns and limitations associated with the use of ChatGPT and provide a balanced discussion on the opportunities and challenges of using ChatGPT in LMICs.

Development of the PREMIUM computerized adaptive testing for measuring the access and care coordination for patients with severe mental illness.

Severe mental illness (SMI) patients often have complex health needs, which makes it difficult to access and coordinate their care. This study aimed to develop a computerized adaptive testing (CAT) tool, PREMIUM CAT-ACC, to measure SMI patients' experience with access and care coordination. This multicenter and cross-sectional study included 496 adult in- and out-patients with SMI (i.e., schizophrenia, bipolar disorder, or major depressive disorder). Psychometric analysis of the 13-item bank showed adequate properties, with preliminary evidence of external validity and no substantial differential item functioning for sex, age, care setting, and diagnosis, making it suitable for CAT administration. A post-hoc CAT simulation demonstrated that the tool was efficient and accurate, with an average of seven items, compared to the full item bank administration. Its use by clinicians can contribute to optimizing patient care pathways and transitioning towards more person-centered healthcare.

Psychological impacts of COVID-19 on Vietnamese health workers over the prolonged restricted COVID-19 responses: a cross-sectional study.

OBJECTIVE: We assessed the psychological impact posed by COVID-19 and its associated factors on the healthcare workforce nationwide during the peak of Vietnam's fourth outbreak. DESIGN: A cross-sectional study. SETTING: Our study was conducted in 61 provinces of Vietnam. METHODS: A total of 2814 healthcare professionals in 61/63 provinces of Vietnam. An online questionnaire using Patient Health Questionnaire-9 (PHQ-9), Perceived Stress Scale-4 (PSS-4) and Generalised Anxiety Disorder-7 (GAD-7) scales was distributed randomly to a subgroup of 503 respondents. PRIMARY AND SECONDARY OUTCOME MEASURES: To determine the impact of COVID-19 on the psychological of health workers, we conducted analyses to test a primary hypothesis related to participants based on three main scales including PHQ-9, PSS-4 and GAD-7 scales. RESULTS: Nearly half (49.7%) of healthcare workers experienced mild depression symptoms, 34.0% underwent moderate anxiety symptoms and 49.3% reported high-stress levels. Respondents who had a monthly income below 5 million VND (~US$212) and had more than 3 days of duty per week had a higher score on the anxiety scales. Compared with medical doctors, nurses/midwives had lower PHQ-9 (Coef=-2.53; 95% CI=-3.71 to -1.36) and GAD-7 scores (Coef=-2.36; 95% CI=-3.56 L to -1.16). Increased workload and work time was the harmful factor that increase the PHQ-9, GAD-7 or PSS-4 scores. More than half (53.9%) of respondents stated no demand for mental healthcare services. CONCLUSIONS: Health workers who gained less financial rewards are reported to have higher levels of mental distress than others, implying the need for a raise in basic salary as well as compensation and encouragement schemes. To tackle hesitancy in seeking mental help, integrating online mental health therapy with e-health consultations via social media can be strategically implemented to augment service delivery, and simultaneously enhance the standard of mental health services.

Predicting the long-term effects of electronic cigarette use on population health: a systematic review of modelling studies.

OBJECTIVE: To systematically review and synthesise the findings of modelling studies on the population impacts of e-cigarette use and to identify potential gaps requiring future investigation. DATA SOURCE AND STUDY SELECTION: Four databases were searched for modelling studies of e-cigarette use on population health published between 2010 and 2023. A total of 32 studies were included. DATA EXTRACTION: Data on study characteristics, model attributes and estimates of population impacts including health outcomes and smoking prevalence were extracted from each article. The findings were synthesised narratively. DATA SYNTHESIS: The introduction of e-cigarettes was predicted to lead to decreased smoking-related mortality, increased quality-adjusted life-years and reduced health system costs in 29 studies. Seventeen studies predicted a lower prevalence of cigarette smoking. Models that predicted negative population impacts assumed very high e-cigarette initiation rates among non-smokers and that e-cigarette use would discourage smoking cessation by a large margin. The majority of the studies were based on US population data and few studies included factors other than smoking status, such as jurisdictional tobacco control policies or social influence. CONCLUSIONS: A population increase in e-cigarette use may result in lower smoking prevalence and reduced burden of disease in the long run, especially if their use can be restricted to assisting smoking cessation. Given the assumption-dependent nature of modelling outcomes, future modelling studies should consider incorporating different policy options in their projection exercises, using shorter time horizons and expanding their modelling to low-income and middle-income countries where smoking rates remain relatively high.

Changes in Quality of life Outcomes of Patients with HIV/AIDS Under a Theory-based Mobile Health Intervention.

This study examined the effectiveness of a theory-based mHealth intervention on the quality of life (QOL) of people living with HIV. A randomized controlled trial was performed at two outpatient clinics in Hanoi, Vietnam. There were 428 patients with HIV/AIDs in selected clinics and were divided into the intervention arm (receiving HIV-assisted smartphone application and usual care) and the control arm (receiving only usual care). The WHOQOLHIV-BREF instrument was utilized to measure QOL. An intention-to-treat approach using Generalized Linear Mixed Model analysis was performed. The trial showed significant improvements in Physical health, Psychological health, and Level of Dependence among patients in the intervention arm compared to the control arm. However, the Environment and Spirituality/Personal beliefs improvements would require additional interventions, both individual, organizational, or governmental. This study explored the utility of a smartphone mobile application for individuals with HIV, and how the resultant application could improve the overall QOL.