Hospital personnel perspectives on factors influencing acute care patient outcomes: a qualitative approach to model refinement.

BACKGROUND: Health systems have long been interested in the best practices for staffing in the acute care setting. Studies on staffing often focus on registered nurses and nurse-to-patient staffing ratios. There were fewer studies on the relationship between interprofessional team members or contextual factors such as hospital and community characteristics and patient outcomes. This qualitative study aimed to refine an explanatory model by soliciting hospital personnel feedback on staffing and patient outcomes. METHODS: We conducted a qualitative study using semi-structured interviews and thematic analysis to understand hospital personnel's perspectives and experiences of factors that affect acute care inpatient outcomes. Interviews were conducted in 2022 with 38 hospital personnel representing 19 hospitals across Washington state in the United States of America. RESULTS: Findings support a model of characteristics impacting patient outcomes to include the complex and interconnected relationships between community, hospital, patient, and staffing characteristics. Within the model, patient characteristics were positioned into hospital characteristics, and in turn these were positioned within community characteristics to highlight the importance of setting and context when evaluating outcomes. Together, these factors influenced both staff characteristics and patient outcomes, but these two categories also share a direct relationship. CONCLUSION: Findings can be applied to hospitals and health systems in a variety of contexts to examine how external factors such as community resource availability impact care delivery. Future research should expand on this work with specific attention to how staffing changes and interprofessional team composition can improve patient outcomes.

The relationship between staffing and adverse events in Washington State hospitals: a cross-sectional study using linked hospital data.

Objective: To quantify the relationship between staffing characteristics and patient outcomes in acute care hospitals in Washington state. Methods: Retrospective cross-sectional time-series study of linked data from six sources on staffing and outcomes for Washington state hospitals. Key stakeholders provided input on data sources, measures, and outcomes in a four-phase participatory process. After data cleaning and linkage, we used a random effects Poisson regression model to examine the relationship between staffing levels or characteristics and adverse outcomes. Results: The study included 263 hospital-years from 80 distinct hospitals, with 162 hospital-years from general acute care hospitals (n=46) and 101 hospital-years from critical access hospitals (n=34). In general acute care hospitals, a higher ratio of patients to care team staff is associated with a higher number of adverse events (adjusted RR, 1.36 per one SD increase; 95% UI 1.13-1.63), and a lower proportion of RNs on the care team staff is likely associated with a higher number of adverse events (adjusted RR, 1.16 per one SD increase; 95% UI, 0.97-1.39). In critical access hospitals, a lower proportion of RNs on the care team is associated with a higher number of adverse events (adjusted RR, 3.28 per one SD increase; 95% UI, 1.20-7.75). A counterfactual analysis indicated that if all general acute care hospitals had no more than the median staffing ratio of 1.2 patient hours per staff hour, the number of adverse events would be reduced by 10% (95% UI 2.7-16.8). Conclusion: RN staffing is an indisputable component of safe, high quality patient care, and other factors such as availability of care team staff, hospital features, and patient characteristics also impact patient outcomes. This study highlights the utility of merging diverse data sources to provide a comprehensive analysis of the relationships between staffing and patient outcomes.

Patient-centered mobile tuberculosis treatment support tools (TB-TSTs) to improve treatment adherence: A pilot randomized controlled trial exploring feasibility, acceptability and refinement needs.

Background: Digital adherence technologies hold promise to improve patient-centered tuberculosis (TB) monitoring, yet few studies have incorporated direct adherence monitoring or assessed patients' experiences with these technologies. We explored acceptability, feasibility, and refinement needs of the TB Treatment Support Tools (TB-TSTs) intervention linking a mobile app, a urine drug metabolite test, and interactive communication with a treatment supporter. Methods: This pilot study was a parallel-designed single-center randomized controlled trial with exit interviews. Newly diagnosed TB patients were randomized 1:1 using a treatment allocation button in the REDCap software preloaded with a random allocation sequence to usual care or usual care plus the TB-TSTs intervention from a respiratory medicine hospital in the province of Buenos Aires, Argentina and followed for 6-months. Due to the nature of the intervention, blinding to the group allocation could not be achieved for the recruiter or patients. The treatment outcome data extractor was blinded to the group allocation of the participants. Intervention participants used the app to report self-administering medication, potential side effects, submit photos of the urine test, and interact with a treatment supporter. Outcomes were feasibility, acceptability, and treatment outcomes. Findings: Forty-two patients were enrolled and evenly assigned to each group. Intervention participants submitted 147·2±58 (mean, SD) medication self-administration and 144·5±55 side effect reports out of 180 and 47.5±38·4 photos of the urine test out of 77. Treatment success for usual care was 81% [17/21] and 95% [20/21] for the TB-TSTs intervention. Thirty-three themes were identified within the main categories of motivation, what worked, issues experienced, and recommendations. Participants (n=12) rated it as 'easy to use' (4.57/5), 'would highly recommend to others' (4·43/5) and reported that access to the treatment support was a critical component. Recommendations included adding an alarm, appointment reminders, and off-line functionality. Interpretation: Findings suggest that the TB-TSTs intervention was feasible and acceptable and further refinement and testing is warranted. Funding: National Institute of Health K23NR017210.

Evaluation of Women's Empowerment in a Community-Based Human Papillomavirus Self-Sampling Social Entrepreneurship Program (Hope Project) in Peru: A Mixed-Method Study.

Introduction: Understanding community women's relational and financial empowerment in social entrepreneurship could be the key to scaling up community-based human papillomavirus (HPV) self-sampling programs in low- and middle-income countries. The Hope Project, social entrepreneurship in Peru, trains women (Hope Ladies) to promote HPV self-sampling among other women in their communities. This study aims to evaluate the Hope Ladies' relational and financial empowerment after participating in the program. Materials and Methods: We evaluated the Hope Ladies' experiences of empowerment in social entrepreneurship using a parallel convergent mixed methods design. The Hope Ladies participated in semi-structured in-depth interviews (n = 20) and an eight-questions five-point Likert scale survey that evaluated their relational (n = 19)/financial (n = 17) empowerment. The interview and the survey questions were developed using three empowerment frameworks: Kabeer's conceptual framework, International Center for Research on Women's economic empowerment indicators, and the Relational Leadership Theory. Deductive content analysis was used to evaluate the interviews with pre-determined codes and categories of empowerment. Descriptive statistics were used to analyze the survey results. Qualitative and quantitative data were integrated through a cross-case comparison of emergent themes and corresponding survey responses during the results interpretation. Results: All Hope Ladies reported experiencing increased empowerment in social entrepreneurship. Interviews: The women reported challenges and improvement in three categories of empowerment: (1) resources (balancing between household and Hope Lady roles, recognition from the community as a resource, camaraderie with other Hope Ladies); (2) agency (increased knowledge about reproductive health, improved confidence to express themselves, and ability to speak out against male-dominant culture); and (3) achievement (increased economic assets, improved ability to make financial decisions, and widened social network and capital, and technology skills development). Survey: All (100%) agreed/totally agreed an increase in social contacts, increased unaccompanied visits to a healthcare provider (86%), improved confidence in discussing reproductive topics (100%), improved ability to make household decisions about money (57% pre-intervention vs. 92% post-intervention). Conclusions: The Hope Ladies reported improved relational and financial empowerment through participating in community-based social entrepreneurship. Future studies are needed to elucidate the relationship between empowerment and worker retention/performance to inform the scale-up of HPV self-sampling social entrepreneurship programs.

Cost of community-based human papillomavirus self-sampling in Peru: A micro-costing study.

Background: Cost data of human papillomavirus (HPV) self-sampling programs from low-and-middle-income countries is limited. We estimated the total and unit costs associated with the Hope Project, a community-based HPV self-sampling social entrepreneurship in Peru. Methods: We conducted a micro-costing analysis from the program perspective to determine the unit costs of (1) recruitment/training of community women (Hope Ladies); (2) Hope Ladies distributing HPV self-sampling kits in their communities and the laboratory testing; and (3) Hope Ladies linking screened women with follow-up care. A procedural manual was used to identify the program's activities. A structured questionnaire and in-depth interviews were conducted with administrators to estimate the resource/time associated with activities. We obtained unit costs for each input previously identified from budgets and expenditure reports. Findings: From November 2018 to March 2020, the program recruited and trained 62 Hope Ladies who distributed 4,882 HPV self-sampling kits in their communities. Of the screened women, 586 (12%) tested HPV positive. The annual cost per Hope Lady recruited/trained was $147·51 (2018 USD). The cost per HPV self-sampling kit distributed/tested was $45·39, the cost per woman followed up with results was $55·64, and the cost per HPV-positive woman identified was $378·14. Personnel and laboratory costs represented 56·1% and 24·7% of the total programmatic cost, respectively. Interpretation: Our findings indicate that implementation of a community-based HPV self-sampling has competitive prices, which increases its likelihood to be feasible in Peru. Further economic evaluation is needed to quantify the incremental benefits of HPV self-sampling compared to more established options such as Pap tests. Funding: Thomas Francis Jr. Fellowship provided funding for data collection. The Hope Project was funded by grants from Grand Challenges Canada (TTS-1812-21131), Uniting for Health Innovation, Global Initiative Against HPV and Cervical Cancer, University of Manitoba, and the John E. Fogarty International Center (5D43TW009375-05).

Insights from participant engagement with the tuberculosis treatment support tools intervention: Thematic analysis of interactive messages to guide refinement to better meet end user needs.

BACKGROUND: Tuberculosis (TB) is a largely curable disease, yet it remains one of the top ten causes of death globally. In response to known challenges to completing the long course of TB treatment, our study team developed the TB treatment support tools (TB-TSTs). The mobile application (app) is comprised of the following main components: 1) tracks treatment progress, 2) provides disease tailored information, 3) interactive communication between patients and treatment supporters, and 4) is linked with a direct adherence drug metabolite test. OBJECTIVE: The objective of this study was to analyze the interactive communication between the patients and the treatment supporter during the TB-TSTs pilot testing to identify issues and guide intervention refinement. METHODS: We used mixed methods to analyze the interactive communication data. The study was conducted at a pulmonary disease specialized hospital in Argentina. Of the 42 study participants enrolled in the pilot study, 21 were randomly assigned to use the TB-TSTs for 6-months during their TB treatment. The treatment supporter was a registered nurse from the regional level of the National TB program. We conducted thematic and content analysis of the messages in their original language, Spanish. We assessed the themes over time and by whom initiated the messages. RESULTS: There were 2561 individual messages sent between the participants and treatment supporter. We identified 19 main themes: 7 were participant and 12 were treatment supporter initiated. Participant themes included missed report rationale, arranging in-person meeting, intervention support, TB treatment progress, disease/treatment questions, side effects and additional support. Treatment supporter themes included missed report inquiry, arranging in-person meeting, introduction and instructions, check-in's, positive reinforcement, treatment progress inquiry, test-strip issues, intervention orientation, initial side-effect check in, follow-up on side effects and photo quality issues. Messages and themes decreased over time with most occurring within the first 2 months of treatment. CONCLUSIONS: Although there was a decrease in the number of messages and the theme types over the 6-month study participation, treatment adherence support remained needed throughout. Potential solutions are suggested for the main issues and recommendations are being used to guide refinement.

Effectiveness of Mobile Apps to Promote Health and Manage Disease: Systematic Review and Meta-analysis of Randomized Controlled Trials.

BACKGROUND: Interventions aimed at modifying behavior for promoting health and disease management are traditionally resource intensive and difficult to scale. Mobile health apps are being used for these purposes; however, their effects on health outcomes have been mixed. OBJECTIVE: This study aims to summarize the evidence of rigorously evaluated health-related apps on health outcomes and explore the effects of features present in studies that reported a statistically significant difference in health outcomes. METHODS: A literature search was conducted in 7 databases (MEDLINE, Scopus, PsycINFO, CINAHL, Global Index Medicus, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews). A total of 5 reviewers independently screened and extracted the study characteristics. We used a random-effects model to calculate the pooled effect size estimates for meta-analysis. Sensitivity analysis was conducted based on follow-up time, stand-alone app interventions, level of personalization, and pilot studies. Logistic regression was used to examine the structure of app features. RESULTS: From the database searches, 8230 records were initially identified. Of these, 172 met the inclusion criteria. Studies were predominantly conducted in high-income countries (164/172, 94.3%). The majority had follow-up periods of 6 months or less (143/172, 83.1%). Over half of the interventions were delivered by a stand-alone app (106/172, 61.6%). Static/one-size-fits-all (97/172, 56.4%) was the most common level of personalization. Intervention frequency was daily or more frequent for the majority of the studies (123/172, 71.5%). A total of 156 studies involving 21,422 participants reported continuous health outcome data. The use of an app to modify behavior (either as a stand-alone or as part of a larger intervention) confers a slight/weak advantage over standard care in health interventions (standardized mean difference=0.38 [95% CI 0.31-0.45]; I2=80%), although heterogeneity was high. CONCLUSIONS: The evidence in the literature demonstrates a steady increase in the rigorous evaluation of apps aimed at modifying behavior to promote health and manage disease. Although the literature is growing, the evidence that apps can improve health outcomes is weak. This finding may reflect the need for improved methodological and evaluative approaches to the development and assessment of health care improvement apps. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42018106868; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=106868.

Converting and expanding a mobile support intervention: Focus group and field-testing findings from individuals in active tuberculosis treatment.

BACKGROUND: Non-adherence to tuberculosis (TB) treatment jeopardizes the individual's health and contributes to disease transmission and drug resistance. New patient-centered strategies are needed to improve TB treatment outcomes. PURPOSE: To convert and expand a texting-based intervention into a mobile optimized application (app), evaluate the feasibility of an added self-administered paper-based drug metabolite test, and identify needs and preferences to inform their iterative design. METHODS: Qualitative methods using focus groups and field testing with patients in active TB treatment were used to gather initial input on the converted intervention design, content and issues using at home test strips to report medication adherence. Seven participants were recruited from an outpatient clinic within a regional public reference hospital specialized in respiratory diseases in Argentina. Thematic analyses were conducted on the transcripts and session notes. RESULTS: Participants considered interactive communication, access to answers to frequently asked questions, and tracking of progress in treatment as important. Participants reported having many questions and uncertainties at initiation of treatment and emphasized a need for reliable information, assurance and support from both providers and peers. Other suggestions included streamlining the graphical user interface for easier and shorter data entry times and usability. CONCLUSIONS: Overall feedback from the participants regarding the intervention was positive, reporting that it was useful and relevant, and they were eager to contribute their ideas for improvement and additional functionality. Valuable feedback to improve functionality and meet the needs of end-users were obtained to inform the generation of new design ideas for refinement and testing in a pilot study.

Converting and expanding mobile support tools for tuberculosis treatment support: Design recommendations from domain and design experts.

BACKGROUND: Tuberculosis (TB) remains one of the top ten causes of death globally despite it being largely treatable. Poor adherence to treatment directly contributes to poor outcomes, such as, prolonged infectivity and the development of drug resistance. Mobile phone-based interventions have the potential to improve treatment outcomes. OBJECTIVE: The purpose of this study was to solicit design and domain expert feedback of a previously developed TB support intervention converted to a mobile application. METHODS: We used prototyping in iterative cycles that included integrating findings from prior formative research with endusers and soliciting feedback from design and content experts. In this project, we used low-fidelity prototype evaluation to inform the design of high-fidelity prototypes for further testing and iterative refinement. RESULTS: We received 12 survey results. Overall, the participants agreed that the functions would be easy to learn/use. Recommendations for improvement included: simplify the reporting by offering broad categories; split complex screens to be more intuitive and user friendly; modify feedback graphics to display data more clearly; incorporate instructions for each task/function to guide users and collapse the information once users had viewed it; display navigation icons on each screen and add a main menu button; have medication tracker be homepage and limit redundancies. Several potential functionalities were suggested, such as adding a notes/journal and a social feature. We were able to easily incorporate recommendations and feedback into the high-fidelity prototypes and continue testing and refinement. After we came to a stable prototype through testing, we gave the interactive prototype to our developers to program a base functioning model. CONCLUSION: The proposed design recommendations provide valuable insight to inform initial conversion of an interactive intervention to customize patient support, which include a smartphone app and a direct drug metabolite test reengineered for home use. We argue that iteratively developing low- and high-fidelity prototypes with content and design experts to guide initial programming of a functional beta app paves the way to better explore further refinement needs and recommendations with endusers rather than using hypothetical scenarios.

Converting and expanding mobile support tools for tuberculosis treatment support: Design recommendations from domain and design experts.

BACKGROUND: Tuberculosis (TB) remains one of the top ten causes of death globally despite it being largely treatable. Poor adherence to treatment directly contributes to poor outcomes, such as, prolonged infectivity and the development of drug resistance. Mobile phone-based interventions have the potential to improve treatment outcomes. OBJECTIVE: The purpose of this study was to solicit design and domain expert feedback of a previously developed TB support intervention converted to a mobile application. METHODS: We used prototyping in iterative cycles that included integrating findings from prior formative research with endusers and soliciting feedback from design and content experts. In this project, we used low-fidelity prototype evaluation to inform the design of high-fidelity prototypes for further testing and iterative refinement. RESULTS: We received 12 survey results. Overall, the participants agreed that the functions would be easy to learn and use. Recommendations for improvement included: simplify the reporting by offering broad categories; split complex screens to be more intuitive and user friendly; modify feedback graphics to display data more clearly; incorporate instructions for each task/function to guide users and collapse the information once users had viewed it; display navigation icons on each screen and add a main menu button; have medication tracker be homepage and limit redundancies. Several potential functionalities were suggested, such as adding a notes/journal and a social feature. We were able to easily incorporate recommendations and feedback into the high-fidelity prototypes and continue testing and refinement. After we came to a stable prototype through testing, we gave the interactive prototype to our developers to program a base functioning model. CONCLUSION: The proposed design recommendations provide valuable insight to inform initial conversion of an interactive intervention to customize patient support, which include a smartphone app and a direct drug metabolite test reengineered for home use. Iteratively developing low- and high-fidelity prototypes with content and design experts to guide initial programming of a functional beta app paves the way to better explore further refinement needs and recommendations with endusers rather than using hypothetical scenarios.

Patient generated health data use in clinical practice: A systematic review.

BACKGROUND: Precision health calls for collecting and analyzing large amounts of data to capture an individual's unique behavior, lifestyle, genetics, and environmental context. The diffusion of digital tools has led to a significant growth of patient generated health data (PGHD), defined as health-related data created, gathered or inferred by or from patients and for which the patient controls data collection and data sharing. PURPOSE: We assessed the current evidence of the impact of PGHD use in clinical practice and provide recommendations for the formal integration of PGHD in clinical care. METHODS: We searched PubMed, Ovid, Embase, CINAHL, Web of Science, and Scopus up to May 2018. Inclusion criteria were applied and four reviewers screened titles and abstracts and consequently full articles. FINDINGS: Our systematic literature review identified 21 studies that examined the use of PGHD in clinical settings. Integration of PGHD into electronic records was extremely limited, and decision support capabilities were for the most part basic. DISCUSSION: PGHD and other types of patient-reported data will be part of the health care system narrative and we must continue efforts to understand its impact on health outcomes, costs, and patient satisfaction. Nursing scientists need to lead the process of defining the role of PGHD in the era of precision health.

Smartphone Applications to Support Sleep Self-Management: Review and Evaluation.

STUDY OBJECTIVES: Mobile health (mHealth) tools such as smartphone applications (apps) have potential to support sleep self-management. The objective of this review was to identify the status of available consumer mHealth apps targeted toward supporting sleep self-management and assess their functionalities. METHODS: We searched four mobile app stores (iTunes Appstore, Android Google Play, Amazon Appstore, and Microsoft Appstore) using the terms "sleep", "sleep management," "sleep monitoring," and "sleep tracking." Apps were evaluated using the Mobile Application Rating Scale (MARS) and the IMS Institute for Healthcare Informatics functionality scores. RESULTS: We identified 2,431 potentially relevant apps, of which 73 met inclusion criteria. Most apps were excluded because they were unrelated to sleep self-management, simply provided alarm service, or solely played relaxation sounds in an attempt to improve sleep. The median overall MARS score was 3.1 out of 5, and more than half of apps (42/73, 58%) had a minimum acceptability score of 3.0. The apps had on average 7 functions based on the IMS functionality criteria (range 2 to 11). A record function was present in all apps but only eight had the function to intervene. About half of the apps (33/73, 45%) collected data automatically using embedded sensors, 27 apps allowed the user to manually enter sleep data, and 14 apps supported both types of data recording. CONCLUSIONS: The findings suggest that few apps meet prespecified criteria for quality, content, and functionality for sleep self-management. Despite the rapid evolution of sleep self-management apps, lack of validation studies is a significant concern that limits the clinical value of these apps.

Mixed-Method Evaluation of Social Media-Based Tools and Traditional Strategies to Recruit High-Risk and Hard-to-Reach Populations into an HIV Prevention Intervention Study.

Men who have sex with men and transgender women are hard-to-reach populations for research. Social media-based tools may overcome certain barriers in accessing these groups and are being tested in an ongoing study exploring HIV home-test kit use to reduce risk behavior. We analyzed pre-screening responses about how volunteers learned about the study (n = 896) and demographic data from eligible participants who came for an initial study visit (n = 216) to determine the strengths and weaknesses of recruitment strategies. Social media-based strategies resulted in the highest number of individuals screened (n = 444, 26% eligible). Dating sites/apps reached large numbers of eligible participants. White-Hispanics and African-Americans were more likely to be recruited through personal contacts; community events successfully reached Hispanic volunteers. Incorporating recruitment queries into pre-screening forms can help modify recruitment strategies for greater efficacy and efficiency. Findings suggest that recruitment strategies need to be tailored to reach specific target populations.

Scoping review and evaluation of SMS/text messaging platforms for mHealth projects or clinical interventions.

OBJECTIVES: Mobile technology supporting text messaging interventions (TMIs) continues to evolve, presenting challenges for researchers and healthcare professionals who need to choose software solutions to best meet their program needs. The objective of this review was to systematically identify and compare text messaging platforms and to summarize their advantages and disadvantages as described in peer-reviewed literature. METHODS: A scoping review was conducted using four steps: 1) identify currently available platforms through online searches and in mHealth repositories; 2) expand evaluation criteria of an mHealth mobile messaging toolkit and integrate prior user experiences as researchers; 3) evaluate each platform's functions and features based on the expanded criteria and a vendor survey; and 4) assess the documentation of platform use in the peer-review literature. Platforms meeting inclusion criteria were assessed independently by three reviewers and discussed until consensus was reached. The PRISMA guidelines were followed to report findings. RESULTS: Of the 1041 potentially relevant search results, 27 platforms met inclusion criteria. Most were excluded because they were not platforms (e.g., guides, toolkits, reports, or SMS gateways). Of the 27 platforms, only 12 were identified in existing mHealth repositories, 10 from Google searches, while five were found in both. The expanded evaluation criteria included 22 items. Results indicate no uniform presentation of platform features and functions, often making these difficult to discern. Fourteen of the platforms were reported as open source, 10 focused on health care and 16 were tailored to meet needs of low resource settings (not mutually exclusive). Fifteen platforms had do-it-yourself setup (programming not required) while the remainder required coding/programming skills or setups could be built to specification by the vendor. Frequently described features included data security and access to the platform via cloud-based systems. Pay structures and reported targeted end-users varied. Peer-reviewed publications listed only 6 of the 27 platforms across 21 publications. The majority of these articles reported the name of the platform used but did not describe advantages or disadvantages. CONCLUSIONS: Searching for and comparing mHealth platforms for TMIs remains a challenge. The results of this review can serve as a resource for researchers and healthcare professionals wanting to integrate TMIs into health interventions. Steps to identify, compare and assess advantages and disadvantages are outlined for consideration. Expanded evaluation criteria can be used by future researchers. Continued and more comprehensive platform tools should be integrated into mHealth repositories. Detailed descriptions of platform advantages and disadvantages are needed when mHealth researchers publish findings to expand the body of research on TMI tools for healthcare. Standardized descriptions and features are recommended for vendor sites.

What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions.

BACKGROUND: Mobile health (mHealth) is often reputed to be cost-effective or cost-saving. Despite optimism, the strength of the evidence supporting this assertion has been limited. In this systematic review the body of evidence related to economic evaluations of mHealth interventions is assessed and summarized. METHODS: Seven electronic bibliographic databases, grey literature, and relevant references were searched. Eligibility criteria included original articles, comparison of costs and consequences of interventions (one categorized as a primary mHealth intervention or mHealth intervention as a component of other interventions), health and economic outcomes and published in English. Full economic evaluations were appraised using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist and The PRISMA guidelines were followed. RESULTS: Searches identified 5902 results, of which 318 were examined at full text, and 39 were included in this review. The 39 studies spanned 19 countries, most of which were conducted in upper and upper-middle income countries (34, 87.2%). Primary mHealth interventions (35, 89.7%), behavior change communication type interventions (e.g., improve attendance rates, medication adherence) (27, 69.2%), and short messaging system (SMS) as the mHealth function (e.g., used to send reminders, information, provide support, conduct surveys or collect data) (22, 56.4%) were most frequent; the most frequent disease or condition focuses were outpatient clinic attendance, cardiovascular disease, and diabetes. The average percent of CHEERS checklist items reported was 79.6% (range 47.62-100, STD 14.18) and the top quartile reported 91.3-100%. In 29 studies (74.3%), researchers reported that the mHealth intervention was cost-effective, economically beneficial, or cost saving at base case. CONCLUSIONS: Findings highlight a growing body of economic evidence for mHealth interventions. Although all studies included a comparison of intervention effectiveness of a health-related outcome and reported economic data, many did not report all recommended economic outcome items and were lacking in comprehensive analysis. The identified economic evaluations varied by disease or condition focus, economic outcome measurements, perspectives, and were distributed unevenly geographically, limiting formal meta-analysis. Further research is needed in low and low-middle income countries and to understand the impact of different mHealth types. Following established economic reporting guidelines will improve this body of research.

Cardiovascular Disease and Health Care System Impact on Functionality and Productivity in Argentina: A Secondary Analysis.

OBJECTIVES: To examine the impact of cardiovascular disease (CVD) events on patient functionality and productivity on the basis of patient use of public or social/private institution health care. METHODS: A secondary analysis was conducted of data drawn from records of Argentinian patients, 3 to 15 months posthospitalization after a CVD event, who had originally participated in a multicountry, cross-sectional study assessing the microeconomic impact of a CVD event. Respondents were stratified according to their use of health care institution (public or social/private). Among these groups, pre- and post-CVD event changes in functionality and productivity were compared. RESULTS: Participants' (N = 431) mean age was 56.5 years, and 73.5% were men. Public sector patients reported significantly higher rates of decline in ability to perform moderate activities (P < 0.05), a greater decrease in time spent at work (P < 0.01), a greater limit in the type of work-related activities (P < 0.01), and a higher rate of emotional problems (P < 0.01). Having health insurance (private or social) (odds ratio [OR] = 0.55; 95% confidence interval [CI] 0.35-0.85; P < 0.01) and a higher income (OR = 0.99; 95% CI 0.99-0.99; P < 0.01) were inversely and significantly associated with loss of productivity. Cerebrovascular disease (OR = 2.55; 95% CI 1.42-4.60; P < 0.01) was also significantly associated with productivity loss. CONCLUSIONS: In Argentina, patients receiving care in the public sector experienced a greater impact on functionality and productivity after their hospitalization for a CVD event. Lack of insurance, low income, and cerebrovascular disease event were the major determinants of productivity loss. Further investigation is needed to better understand contributors to these differences.

Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation.

BACKGROUND: Tuberculosis (TB) remains a major global health problem and is the leading killer due to a single infectious disease. Mobile health (mHealth)-based tools such as smartphone apps have been suggested as tools to support TB control efforts (eg, identification, contact tracing, case management including patient support). OBJECTIVE: The purpose of this review was to identify and assess the functionalities of mobile apps focused on prevention and treatment of TB. METHODS: We searched 3 online mobile app stores. Apps were included if they were focused on TB and were in English, Spanish, or Portuguese. For each included app, 11 functionalities were assessed (eg, inform, instruct, record), and searches were conducted to identify peer-review publications of rigorous testing of the available apps. RESULTS: A total of 1332 potentially relevant apps were identified, with 24 meeting our inclusion criteria. All of the apps were free to download, but 7 required login and password and were developed for specific clinics, regional sites, or research studies. Targeted users were mainly clinicians (n=17); few (n=4) apps were patient focused. Most apps (n=17) had 4 or fewer functions out of 11 (range 1-6). The most common functionalities were inform and record (n=15). Although a number of apps were identified with various functionalities to support TB efforts, some had issues such as incorrect spelling and grammar, inconsistent responses to data entry, problems with crashing, or links to features that had no data. Of more concern, some apps provided potentially harmful information to patients, such as links to natural remedies for TB and natural healers. One-third of the apps (8/24) had not been updated for more than a year and may no longer be supported. Peer-reviewed publications were identified for only two of the included apps. In the gray literature (not found in the app stores), three TB-related apps were identified as in progress, being launched, or tested. CONCLUSIONS: Apps identified for TB prevention and treatment had minimal functionality, primarily targeted frontline health care workers, and focused on TB information (eg, general information, guidelines, and news) or data collection (eg, replace paper-based notification or tracking). Few apps were developed for use by patients and none were developed to support TB patient involvement and management in their care (eg, follow-up alerts/reminders, side effects monitoring) or improve interaction with their health care providers, limiting the potential of these apps to facilitate patient-centered care. Our evaluation shows that more refined work is needed to be done in the area of apps to support patients with active TB. Involving TB patients in treatment in the design of these apps is recommended.

Comparison of a User-Centered Design, Self-Management App to Existing mHealth Apps for Persons Living With HIV.

BACKGROUND: There is preliminary evidence that mobile health (mHealth) apps are feasible, attractive, and an effective platform for the creation of self-management tools for persons living with HIV (PLWH). As a foundation for the current study, we conducted formative research using focus groups, participatory design sessions, and usability evaluation methods to inform the development of a health management app for PLWH. The formative research resulted in identification of the following functional requirements of a mHealth app for self-management: (1) communication between providers and peers, (2) medication reminders, (3) medication log, (4) lab reports, (5) pharmacy information, (6) nutrition and fitness, (7) resources (eg, social services, substance use, video testimonials), (8) settings, and (9) search function. OBJECTIVE: The purpose of this study was to conduct an ecological review of the existing apps for PLWH and to compare the functionality of existing apps with the app specifications identified in our formative work. METHODS: We searched two mobile app stores (Google Play and iTunes) and found a total of 5606 apps. We reviewed the apps, narrowed our search terms, and found a total of 112 apps. Of these, we excluded 97 (86.6%) apps that were either not in English (10/112, 8.9%), not HIV focused (32/112, 28.9%), or focused only on HIV prevention (2/112, 7.8%); targeted health care providers (26/112, 23.2%); provided information only on conference schedules and events (7/112, 6.3%), fundraisers (7/112, 6.3%), specific clinics (7/112, 6.3%), international or narrow local resources (3/112, 2.7%); or were identified in the first search but were no longer on the market at the next review (4/112, 3.6%). The 15 apps meeting inclusion criteria were then evaluated for inclusion of the nine functionalities identified in our earlier work. RESULTS: Of the 15 apps that we included in our final review, none had all of the functionalities that were identified in our formative work. The apps that we identified included the following functionalities: communication with providers and/or peers (4/15, 27%), medication reminders (6/15, 40%), medication logs (7/15, 47%), lab reports (5/15, 33%), pharmacy information (4/15, 27%), resources (7/15, 47%), settings (11/15, 73%), and search function (6/15, 40%). No apps included nutrition or fitness information. CONCLUSIONS: Currently, there are only a small number of apps that have been designed for PLWH to manage their health. Of the apps that are currently available, none have all of the desired functionalities identified by PLWH and experts in our formative research. Findings from this work elucidate the need to develop and evaluate mobile apps that meet PLWH's desired functional specifications.

A practical field guide to conducting nursing research in low- and middle-income countries.

OBJECTIVES: The purpose of this report is to offer practical guidance to nurse investigators interested in international research in low- and middle-income countries (LMICs). Lessons learned and strategies for planning and implementing an international research project are addressed. METHODS: Four nurse researchers who conducted studies in diverse international settings (Argentina, India, South Africa, and Tanzania) describe their collective experiences regarding study planning and implementation; data collection using a variety of methods; and cultural, contextual and ethical considerations. RESULTS: Nurses who undertake international health research projects, particularly in LMICs, can face unique challenges and opportunities. Recommendations for success include advance planning, remaining flexible, having a backup plan, cultivating an attitude of curiosity and cultural humility, establishing collaborative and respectful partnerships, and budgeting adequate time. CONCLUSIONS: Nurse scientists often receive little training and support to conduct international research. Guidance to undertake research projects in LMICs can build capacity for nurses to make significant contributions to global health.

Qualitative evaluation of a text messaging intervention to support patients with active tuberculosis: implementation considerations.

BACKGROUND: Tuberculosis (TB) remains a major global public health problem and mobile health (mHealth) interventions have been identified as a modality to improve TB outcomes. TextTB, an interactive text-based intervention to promote adherence with TB medication, was pilot-tested in Argentina with results supporting the implementation of trials at a larger scale. OBJECTIVE: The objective of this research was to understand issues encountered during pilot-testing in order to inform future implementation in a larger-scale trial. METHODS: A descriptive, observational qualitative design guided by a sociotechnical framework was used. The setting was a clinic within a public pulmonary-specialized hospital in Argentina. Data were collected through workflow observation over 115 days, text messages (n=2286), review of the study log, and stakeholder input. Emerging issues were categorized as organizational, human, technical, or sociotechnical considerations. RESULTS: Issues related to the intervention included workflow issues (eg, human, training, security), technical challenges (eg, data errors, platform shortcomings), and message delivery issues (eg, unintentional sending of multiple messages, auto-confirmation problems). System/contextual issues included variable mobile network coverage, electrical and Internet outages, and medication shortages. CONCLUSIONS: Intervention challenges were largely manageable during pilot-testing, but need to be addressed systematically before proceeding with a larger-scale trial. Potential solutions are outlined. Findings may help others considering implementing an mHealth intervention to anticipate and mitigate certain challenges. Although some of the issues may be context dependent, other issues such as electrical/Internet outages and limited resources are not unique issues to our setting. Release of new software versions did not result in solutions for certain issues, as specific features used were removed. Therefore, other software options will need to be considered before expanding into a larger-scale endeavor. Improved automation of some features will be necessary, however, a goal will be to retain the intervention capability to be interactive, user friendly, and patient focused. Continued collaboration with stakeholders will be required to conduct further research and to understand how such an mHealth intervention can be effectively integrated into larger health systems.