Tag: statistics

J Med Internet Res. 2023 Jun 28;25:e48166. doi: 10.2196/48166.

ABSTRACT

BACKGROUND: In a world of rapid digital technology development, the lack of digital health literacy (DHL) among older people cannot be ignored. DHL is becoming an essential competency that can facilitate the health status and health management of older adults. DHL interventions that are feasible and appropriate can be implemented on a large scale through the health care system for older people.

OBJECTIVE: The purpose of this meta-analysis was to assess the effectiveness of DHL interventions for older adults.

METHODS: English publications in PubMed, Web of Science, Embase, and the Cochrane Library were searched from inception to November 20, 2022. Two reviewers independently completed the data extraction and quality assessment. Review Manager (version 5.4; Cochrane Informatics & Technology Services) software was used for all meta-analyses.

RESULTS: A total of 7 studies, including 2 randomized controlled trials and 5 quasi-experimental studies, involving 710 older adults were considered eligible. The main outcome was scores on the eHealth Literacy Scale, and secondary outcomes were knowledge, self-efficacy, and skills. Quasi-experimental studies compared baseline and postintervention outcomes, while randomized controlled trials compared pre- and postintervention outcomes in the intervention group. Of the 7 studies, 3 used face-to-face instruction, while 4 adopted web-based interventions. Among them, 4 of the interventions were conducted using theoretical guidance, while 3 were not. Intervention duration varied from 2 to 8 weeks. In addition, the studies included were all conducted in developed countries, mainly in the United States. Pooled analysis presented that DHL interventions had positive effects on eHealth literacy efficacy (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001). Subgroup analysis revealed that DHL interventions that chose face-to-face teaching (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001), were guided by a conceptual framework (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001), and were sustained over 4 weeks (standardized mean difference 1.1, 95% CI 0.46 to 1.84; P=.001) had a more significant effect. Moreover, the outcomes showed considerable gains in knowledge (standardized mean difference 0.93, 95% CI 0.54 to 1.31; P<.001) and self-efficacy (standardized mean difference 0.96, 95% CI 0.16 to 1.77; P=.02). No statistically significant effect was found for skills (standardized mean difference 0.77, 95% CI -0.30 to 1.85; P=.16). The small number of studies, variable study quality, and heterogeneity are some limitations of this review.

CONCLUSIONS: DHL interventions have positive effects on the health status and health management of older adults. Practical and effective DHL interventions are crucial for the use of modern digital information technology in managing the health of older people.

TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42023410204; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=410204.

PMID:37379077 | DOI:10.2196/48166

J Med Internet Res. 2023 Jun 28;25:e41997. doi: 10.2196/41997.

ABSTRACT

BACKGROUND: Health policy makers and advocates increasingly utilize online resources for policy-relevant knowledge. Knowledge brokering is one potential mechanism to encourage the use of research evidence in policy making, but the mechanisms of knowledge brokerage in online spaces are understudied. This work looks at knowledge brokerage through the launch of Project ASPEN, an online knowledge portal developed in response to a New Jersey legislative act that established a pilot program for adolescent depression screening for young adults in grades 7-12.

OBJECTIVE: This study compares the ability to drive policy brief downloads by policy makers and advocates from the Project ASPEN knowledge portal using a variety of online methods to promote the knowledge portal.

METHODS: The knowledge portal was launched on February 1, 2022, and a Google Ad campaign was run between February 27, 2022, and March 26, 2022. Subsequently, a targeted social media campaign, an email campaign, and tailored research presentations were used to promote the website. Promotional activities ended on May 31, 2022. Website analytics were used to track a variety of actions including new users coming to the website, page views, and policy brief downloads. Statistical analysis was used to assess the efficacy of different approaches.

RESULTS: The campaign generated 2837 unique user visits to the knowledge portal and 4713 page views. In addition, the campaign generated 6.5 policy web page views/day and 0.7 policy brief downloads/day compared with 1.8 views/day and 0.5 downloads/day in the month following the campaign. The rate of policy brief page view conversions was significantly higher for Google Ads compared with other channels such as email (16.0 vs 5.4; P<.001) and tailored research presentations (16.0 vs 0.8; P<.001). The download conversion rate for Google Ads was significantly higher compared with social media (1.2 vs 0.1; P<.001) and knowledge brokering activities (1.2 vs 0.2; P<.001). By contrast, the download conversion rate for the email campaign was significantly higher than that for social media (1.0 vs 0.1; P<.001) and tailored research presentations (1.0 vs 0.2; P<.001). While Google Ads for this campaign cost an average of US $2.09 per click, the cost per conversion was US $11 per conversion to drive targeted policy web page views and US $147 per conversion to drive policy brief downloads. While other approaches drove less traffic, those approaches were more targeted and cost-effective.

CONCLUSIONS: Four tactics were tested to drive user engagement with policy briefs on the Project ASPEN knowledge portal. Google Ads was shown to be effective in driving a high volume of policy web page views but was ineffective in terms of relative costs. More targeted approaches such as email campaigns and tailored research presentations given to policy makers and advocates to promote the use of research evidence on the knowledge portal website are likely to be more effective when balancing goals and cost-effectiveness.

PMID:37379073 | DOI:10.2196/41997

JMIR Public Health Surveill. 2023 Jun 28;9:e43776. doi: 10.2196/43776.

ABSTRACT

BACKGROUND: Opioid drug prescription (ODP) and opioid-related mortality (ORM) have increased in Spain. However, their relationship is complex, as ORM is registered without considering the type of opioid (legal or illegal).

OBJECTIVE: This ecological study aimed to examine the correlation between ODP and ORM in Spain and discuss their usefulness as a surveillance tool.

METHODS: This was an ecological descriptive study using retrospective annual data (2000-2019) from the Spanish general population. Data were collected from people of all ages. Information on ODP was obtained from the Spanish Medicines Agency in daily doses per 1000 inhabitants per day (DHD) for total ODP, total ODP excluding those with better safety protocols (codeine and tramadol), and each opioid drug separately. Rates of ORM (per 1,000,000 inhabitants) were calculated based on deaths registered (International Classification of Diseases, 10th Revision codes) as opioid poisoning by the National Statistics Institute, derived from the drug data recorded by medical examiners in death certificates. Opioid-related deaths were considered to be those that indicated opioid consumption (accidental, infringed, or self-inflicted) as the main cause of death: death due to accidental poisoning (X40-X44), intentional self-inflicted poisoning (X60-X64), drug-induced aggression (X85), and poisoning of undetermined intention (Y10-Y14). A descriptive analysis was carried out, and correlations between the annual rates of ORM and DHD of the prescribed opioid drugs globally, excluding medications of the least potential risk of overdose and lowest treatment tier, were analyzed using Pearson linear correlation coefficient. Their temporal evolution was analyzed using cross-correlations with 24 lags and the cross-correlation function. The analyses were carried out using Stata and StatGraphics Centurion 19.

RESULTS: The rate of ORM (2000-2019) ranged between 14 and 23 deaths per 1,000,000 inhabitants, with a minimum in 2006 and an increasing trend starting in 2010. The ODP ranged between 1.51 to 19.94 DHD. The rates of ORM were directly correlated with the DHD of total ODP (r=0.597; P=.006), total ODP without codeine and tramadol (r=0.934; P<.001), and every prescribed opioid except buprenorphine (P=.47). In the time analysis, correlations between DHD and ORM were observed in the same year, although not statistically significant (all P≥.05).

CONCLUSIONS: There is a correlation between greater availability of prescribed opioid drugs and an increase in opioid-related deaths. The correlation between ODP and ORM may be a useful tool in monitoring legal opiates and possible disturbances in the illegal market. The role of tramadol (an easily prescribed opioid) is important in this correlation, as is that of fentanyl (the strongest opioid). Measures stronger than recommendations need to be taken to reduce off-label prescribing. This study shows that not only is opioid use directly related to the prescribing of opioid drugs above what is desirable but also an increase in deaths.

PMID:37379061 | DOI:10.2196/43776

J Med Internet Res. 2023 Jun 28;25:e44024. doi: 10.2196/44024.

ABSTRACT

BACKGROUND: Digital health engagement may serve many support functions, such as providing access to information; checking or evaluating one’s state of health; and tracking, monitoring, or sharing health data. Many digital health engagement behaviors are associated with the potential to reduce inequalities in information and communication. However, initial studies suggest that health inequalities may persist in the digital realm.

OBJECTIVE: This study aimed to explore the functions of digital health engagement by describing how frequently respective services are used for a range of purposes and how these purposes can be categorized from the users’ perspective. This study also aimed to identify the prerequisites for successfully implementing and using digital health services; therefore, we shed light on the predisposing, enabling, and need factors that may predict digital health engagement for different functions.

METHODS: Data were gathered via computer-assisted telephone interviews during the second wave of the German adaption of the Health Information National Trends Survey in 2020 (N=2602). The weighted data set allowed for nationally representative estimates. Our analysis focused on internet users (n=2001). Engagement with digital health services was measured by their reported use for 19 different purposes. Descriptive statistics showed the frequency with which digital health services were used for these purposes. Using a principal component analysis, we identified the underlying functions of these purposes. Using binary logistic regression models, we analyzed which predisposing factors (age and sex), enabling factors (socioeconomic status, health- and information-related self-efficacy, and perceived target efficacy), and need factors (general health status and chronic health condition) can predict the use of the distinguished functions.

RESULTS: Digital health engagement was most commonly linked to acquiring information and less frequently to more active or interactive purposes such as sharing health information with other patients or health professionals. Across all purposes, the principal component analysis identified 2 functions. Information-related empowerment comprised items on acquiring health information in various forms, critically assessing one’s state of health, and preventing health problems. In total, 66.62% (1333/2001) of internet users engaged in this behavior. Health care-related organization and communication included items on patient-provider communication and organizing health care. It was applied by 52.67% (1054/2001) of internet users. Binary logistic regression models showed that the use of both functions was determined by predisposing factors (female and younger age) and certain enabling factors (higher socioeconomic status) and need factors (having a chronic condition).

CONCLUSIONS: Although a large share of German internet users engage with digital health services, predictors show that existing health-related disparities prevail in the digital realm. To make use of the potential of digital health services, fostering digital health literacy at different levels, especially in vulnerable groups, is key.

PMID:37379058 | DOI:10.2196/44024

JMIR Mhealth Uhealth. 2023 Jun 28;11:e42750. doi: 10.2196/42750.

ABSTRACT

BACKGROUND: Over the past few decades, there has been a rapid increase in the number of wearable sleep trackers and mobile apps in the consumer market. Consumer sleep tracking technologies allow users to track sleep quality in naturalistic environments. In addition to tracking sleep per se, some sleep tracking technologies also support users in collecting information on their daily habits and sleep environments and reflecting on how those factors may contribute to sleep quality. However, the relationship between sleep and contextual factors may be too complex to be identified through visual inspection and reflection. Advanced analytical methods are needed to discover new insights into the rapidly growing volume of personal sleep tracking data.

OBJECTIVE: This review aimed to summarize and analyze the existing literature that applies formal analytical methods to discover insights in the context of personal informatics. Guided by the problem-constraints-system framework for literature review in computer science, we framed 4 main questions regarding general research trends, sleep quality metrics, contextual factors considered, knowledge discovery methods, significant findings, challenges, and opportunities of the interested topic.

METHODS: Web of Science, Scopus, ACM Digital Library, IEEE Xplore, ScienceDirect, Springer, Fitbit Research Library, and Fitabase were searched to identify publications that met the inclusion criteria. After full-text screening, 14 publications were included.

RESULTS: The research on knowledge discovery in sleep tracking is limited. More than half of the studies (8/14, 57%) were conducted in the United States, followed by Japan (3/14, 21%). Only a few of the publications (5/14, 36%) were journal articles, whereas the remaining were conference proceeding papers. The most used sleep metrics were subjective sleep quality (4/14, 29%), sleep efficiency (4/14, 29%), sleep onset latency (4/14, 29%), and time at lights off (3/14, 21%). Ratio parameters such as deep sleep ratio and rapid eye movement ratio were not used in any of the reviewed studies. A dominant number of the studies applied simple correlation analysis (3/14, 21%), regression analysis (3/14, 21%), and statistical tests or inferences (3/14, 21%) to discover the links between sleep and other aspects of life. Only a few studies used machine learning and data mining for sleep quality prediction (1/14, 7%) or anomaly detection (2/14, 14%). Exercise, digital device use, caffeine and alcohol consumption, places visited before sleep, and sleep environments were important contextual factors substantially correlated to various dimensions of sleep quality.

CONCLUSIONS: This scoping review shows that knowledge discovery methods have great potential for extracting hidden insights from a flux of self-tracking data and are considered more effective than simple visual inspection. Future research should address the challenges related to collecting high-quality data, extracting hidden knowledge from data while accommodating within-individual and between-individual variations, and translating the discovered knowledge into actionable insights.

PMID:37379057 | DOI:10.2196/42750

JMIR Res Protoc. 2023 Jun 28;12:e48499. doi: 10.2196/48499.

ABSTRACT

BACKGROUND: Patients with colorectal cancer (CRC) receiving chemotherapy often experience psychoneurological symptoms (PNS; ie, fatigue, depression, anxiety, sleep disturbance, pain, and cognitive dysfunction) that negatively impact both patients’ and their caregivers’ health outcomes. Limited information is available on PNS management for CRC patient and caregiver dyads.

OBJECTIVE: The purposes of this study are to (1) develop a web-based dyadic intervention for patients with CRC receiving chemotherapy and their caregivers (CRCweb) and (2) evaluate the feasibility, acceptability, and preliminary effects of CRCweb among patient-caregiver dyads in a cancer clinic.

METHODS: A mixed methods approach will be used. Semistructured interviews among 8 dyads will be conducted to develop CRCweb. A single-group pre- and posttest clinical trial will be used to examine the feasibility, acceptability, and preliminary effects of the intervention (CRCweb) among 20 dyads. Study assessments will be conducted before (T1) and after intervention (T2). Content analysis will be performed for semistructured interviews. Descriptive statistics will be calculated separately for patients and caregivers, and pre-post paired t tests will be used to evaluate treatment effects.

RESULTS: This study was funded in November 2022. As of April 2023, we have obtained institutional review board approval and completed clinical trial registration and are currently recruiting patient-caregiver dyads in a cancer clinic. The study is expected to be completed in October 2024.

CONCLUSIONS: Developing a web-based dyadic intervention holds great promise to reduce the PNS burden in patients with CRC receiving chemotherapy and their caregivers. The findings from this study will advance intervention development and implementation of symptom management and palliative care for patients with cancer and their caregivers.

TRIAL REGISTRATION: ClinicalTrials.gov NCT05663203; https://clinicaltrials.gov/ct2/show/NCT05663203.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/48499.

PMID:37379055 | DOI:10.2196/48499

J Gerontol Nurs. 2023 Jul;49(7):17-23. doi: 10.3928/00989134-20230615-04. Epub 2023 Jul 1.

ABSTRACT

People living with dementia (PLWD) experience pain like other older adults, but with changes due to dementia, they rely more on family caregivers for pain assessment. Many different elements contribute to a pain assessment. Changes in characteristics of PLWD may be associated with changes in the use of these different pain assessment elements. The current study reports associations between PLWD’s agitation, cognitive function, and dementia severity and the frequency with which family caregivers use pain assessment elements. In a sample of family caregivers (N = 48), statistically significant associations were found between worsening cognitive function and greater use of rechecking for pain after intervention (rho = 0.36, p = 0.013), and between lower cognitive scores on a subscale of dementia severity and asking others if they have noticed a behavior change in the PLWD (rho = 0.30, p = 0.044). Limited statistically significant associations suggest that, overall, family caregivers of PLWD do not use pain assessment elements more frequently with changes in characteristics of PLWD. [Journal of Gerontological Nursing, 49(7), 17-23.].

PMID:37379047 | DOI:10.3928/00989134-20230615-04

J Gerontol Nurs. 2023 Jul;49(7):5-8. doi: 10.3928/00989134-20230615-02. Epub 2023 Jul 1.

ABSTRACT

Using the Kirkpatrick Model as a framework, the current program evaluation was performed to examine the effect of an online dementia training program on the rate of antipsychotic medication use in a nursing home. Antipsychotic medication use before program implementation was compared to use post-implementation. Run charts and a Wilcoxon analysis were used to look for trends or variances in antipsychotic medication use before and after implementation of the program. A nonrandom reduction was noted, and a statistically significant difference was noted in the percentage of residents receiving antipsychotic medications in the 6-month data prior to the training compared to the 6-month data after initial training (p = 0.026). Staff were satisfied with the training program and learning was noted, as evidenced by staff being able to list behaviors using the CARES^® approach. Fully embedding the training into facility culture will need to be examined by facility administration. [Journal of Gerontological Nursing, 49(7), 5-8.].

PMID:37379044 | DOI:10.3928/00989134-20230615-02

J Cataract Refract Surg. 2023 Jun 26. doi: 10.1097/j.jcrs.0000000000001246. Online ahead of print.

ABSTRACT

PURPOSE: To compare the postoperative endothelial cell counts of EVO-ICLs with a central hole (V4c and V5) and laser vision correction surgery (LASIK or PRK).

SETTING: OOO Eye Center, OOO, South Korea.

DESIGN: Retrospective, observational, and paired contralateral study.

METHODS: We retrospectively reviewed 62 eyes of 31 patients who underwent EVO-ICL with a central hole implantation in one eye (pIOL group) and laser vision correction in the contralateral eye (LVC group) to correct refractive errors. Central endothelial cell density (ECD), percentage of hexagonal cells (HEX), coefficient of variation in cell size (CV), and adverse events were evaluated for at least three years. The endothelial cells were observed using a non-contact specular microscope.

RESULTS: All surgeries were performed, without complications during the follow-up period. The mean ECD loss values compared with the preoperative measurements were 6.65% and 4.95% during the 3 years after pIOL and LVC, respectively. There was no significant difference in ECD loss compared to the preoperative values (paired t-test, P = 0.188) between the two groups. No significant loss in ECD was observed at any time point. The pIOL group showed higher HEX (P = 0.018) and lower CV (P = 0.006) values than the LVC group at the last visit.

CONCLUSION: According to our experience, EVO-ICL with a central hole implantation was a safe and stable vision correction method. Moreover, it did not induce statistically significant changes in ECD 3 years postoperatively compared with LVC. However, further long-term follow-up studies are required to confirm these results.

PMID:37379027 | DOI:10.1097/j.jcrs.0000000000001246

J Cataract Refract Surg. 2023 Jun 27. doi: 10.1097/j.jcrs.0000000000001251. Online ahead of print.

NO ABSTRACT

PMID:37379022 | DOI:10.1097/j.jcrs.0000000000001251