Category: Statistics

JMIR Hum Factors. 2023 Dec 11;10:e52088. doi: 10.2196/52088.

ABSTRACT

BACKGROUND: The digital app SWEPPE (sustainable worker, a digital support for persons with chronic pain and their employers) was developed to improve the support of people with chronic pain in their return-to-work process after sick leave and includes functions such as the action plan, daily self-rating, self-monitoring graphs, the coach, the library, and shared information with the employer.

OBJECTIVE: This study aims to describe the use of the smartphone app SWEPPE among people with chronic pain who have participated in an interdisciplinary pain rehabilitation program.

METHODS: This is a case study including 16 people participating in a feasibility study. The analyses were based on user data collected for 3 months. Quantitative data regarding used functions were analyzed with descriptive statistics, and qualitative data of identified needs of support from the employer were grouped into 8 categories.

RESULTS: Self-monitoring was used by all participants (median 26, IQR 8-87 daily registrations). A total of 11 (N=16, 69%) participants set a work-related goal and performed weekly evaluations of goal fulfillment and ratings of their work ability. In total, 9 (56%) participants shared information with their employer and 2 contacted the coach. A total of 15 (94%) participants identified a total of 51 support interventions from their employer. Support to adapt to work assignments and support to adapt to work posture were the 2 biggest categories. The most common type of support identified by 53% (8/15) of the participants was the opportunity to take breaks and short rests.

CONCLUSIONS: Participants used multiple SWEPPE functions, such as daily self-registration, goal setting, self-monitoring, and employer support identification. This shows the flexible nature of SWEPPE, enabling individuals to select functions that align with their needs. Additional research is required to investigate the extended use of SWEPPE and how employers use shared employee information.

PMID:38079212 | DOI:10.2196/52088

JMIR Form Res. 2023 Dec 11;7:e49179. doi: 10.2196/49179.

ABSTRACT

BACKGROUND: The prevention of oral health diseases is a key public health issue and a major challenge for racial and ethnic minority groups, who often face barriers in accessing dental care. Daily toothbrushing is an important self-care behavior necessary for sustaining good oral health, yet engagement in regular brushing remains a challenge. Identifying strategies to promote engagement in regular oral self-care behaviors among populations at risk of poor oral health is critical.

OBJECTIVE: The formative research described here focused on creating messages for a digital oral self-care intervention targeting a racially and ethnically diverse population. Theoretically grounded strategies (reciprocity, reciprocity-by-proxy, and curiosity) were used to promote engagement in 3 aspects: oral self-care behaviors, an oral care smartphone app, and digital messages. A web-based participatory co-design approach was used to develop messages that are resource efficient, appealing, and novel; this approach involved dental experts, individuals from the general population, and individuals from the target population-dental patients from predominantly low-income racial and ethnic minority groups. Given that many individuals from racially and ethnically diverse populations face anonymity and confidentiality concerns when participating in research, we used an approach to message development that aimed to mitigate these concerns.

METHODS: Messages were initially developed with feedback from dental experts and Amazon Mechanical Turk workers. Dental patients were then recruited for 2 facilitator-mediated group webinar sessions held over Zoom (Zoom Video Communications; session 1: n=13; session 2: n=7), in which they provided both quantitative ratings and qualitative feedback on the messages. Participants interacted with the facilitator through Zoom polls and a chat window that was anonymous to other participants. Participants did not directly interact with each other, and the facilitator mediated sessions by verbally asking for message feedback and sharing key suggestions with the group for additional feedback. This approach plausibly enhanced participant anonymity and confidentiality during the sessions.

RESULTS: Participants rated messages highly in terms of liking (overall rating: mean 2.63, SD 0.58; reciprocity: mean 2.65, SD 0.52; reciprocity-by-proxy: mean 2.58, SD 0.53; curiosity involving interactive oral health questions and answers: mean 2.45, SD 0.69; curiosity involving tailored brushing feedback: mean 2.77, SD 0.48) on a scale ranging from 1 (do not like it) to 3 (like it). Qualitative feedback indicated that the participants preferred messages that were straightforward, enthusiastic, conversational, relatable, and authentic.

CONCLUSIONS: This formative research has the potential to guide the design of messages for future digital health behavioral interventions targeting individuals from diverse racial and ethnic populations. Insights emphasize the importance of identifying key stimuli and tasks that require engagement, gathering multiple perspectives during message development, and using new approaches for collecting both quantitative and qualitative data while mitigating anonymity and confidentiality concerns.

PMID:38079204 | DOI:10.2196/49179

JMIR Form Res. 2023 Dec 11;7:e50579. doi: 10.2196/50579.

ABSTRACT

BACKGROUND: Medication adherence is vital in the treatment of patients with chronic illness who require long-term medication therapies to maintain optimal health. Medication adherence, a complex and widespread problem, has been difficult to solve. Additionally, lower-income, medically underserved communities have been found to have higher rates of inadequate adherence to oral medications. Even so, this population has been underrepresented in studies using mobile medication adherence app interventions. Federally qualified health centers provide care for medically underserved populations, defined as communities and populations where there is a demonstrable unmet need for health services. These centers have been reporting an increase in a more complex chronic disease population. Including medically underserved individuals in mobile health studies provides opportunities to support this disproportionately affected group, work toward reducing health disparities in access to health care, and understand barriers to mobile health uptake.

OBJECTIVE: The aim of this preliminary efficacy study was to evaluate the effects and feasibility of a commercially available medication adherence app, Medisafe, in a medically underserved adult population with various chronic illnesses seeking care in a federally qualified health center.

METHODS: Participants in this single-arm pre-post intervention preliminary efficacy study (N=10) completed a baseline survey, used the app for 2 weeks, and completed an end-of-study survey. The primary outcome measures were medication adherence and medication self-efficacy. Feedback on the use of the app was also gathered.

RESULTS: A statistically significant median increase of 8 points on the self-efficacy for adherence to medications scale was observed (P=.03, Cohen d=0.69). Though not significant, the adherence to refills and medications scale demonstrated a median change of 2.5 points in the direction of increased medication adherence (P=.21, Cohen d=0.41). Feedback about the app was positive.

CONCLUSIONS: Use of the Medisafe app is a viable option to improve medication self-efficacy and medication adherence in medically underserved patients in an outpatient setting with a variety of chronic illnesses.

PMID:38079192 | DOI:10.2196/50579

Nord J Psychiatry. 2023 Dec 11:1-9. doi: 10.1080/08039488.2023.2289915. Online ahead of print.

ABSTRACT

AIMS: To examine the association between pulse width and HRQoL measured within one week after electroconvulsive therapy (ECT) and at six-month follow-up in patients with unipolar or bipolar depression.

METHODS: This was an observational register study using data from the Swedish National Quality Registry for ECT (2011-2019). Inclusion criteria were: age ≥18 years; index treatment for unipolar/bipolar depression; unilateral electrode placement; information on pulse width; EQ-5D measurements before and after ECT. Multiple linear regressions were performed to investigate the association between pulse width (<0.5 ms; 0.5 ms; >0.5 ms) and HRQoL (EQ-5D-3L index; EQ VAS) one week after ECT (primary outcome) and six months after ECT (secondary outcome).

RESULTS: The sample included 5,046 patients with unipolar (82%) or bipolar (18%) depression. At first ECT session, 741 patients (14.7%) had pulse width <0.5 ms, 3,639 (72.1%) had 0.5 ms, and 666 (13.2%) had >0.5 ms. There were no statistically significant associations between pulse width and HRQoL one week after ECT. In the subsample of patients with an EQ-5D index recorded six months after ECT (n = 730), patients receiving 0.5 ms had significantly lower HRQoL (-0.089) compared to <0.5 ms, after adjusting for demographic and clinical characteristics (p = .011). The corresponding analysis for EQ VAS did not show any statistically significant associations.

CONCLUSION: No robust associations were observed between pulse width and HRQoL after ECT. On average, significant improvements in HRQoL were observed one week and six months after ECT for patients with unipolar or bipolar disease, independent of the pulse width received.

PMID:38079191 | DOI:10.1080/08039488.2023.2289915

Tissue Eng Regen Med. 2023 Dec 11. doi: 10.1007/s13770-023-00612-2. Online ahead of print.

ABSTRACT

BACKGROUND: Collagen is a key component of connective tissue and has been frequently used in the fabrication of medical devices for tissue regeneration. Human-originated collagen is particularly appealing due to its low immune response as an allograft biomaterial compared to xenografts and its ability to accelerate the regeneration process. Ethically and economically, adipose tissues available from liposuction clinics are a good resource to obtain human collagen. However, studies are still scarce on the extraction and characterization of human collagen, which originates from adipose tissue. The aim of this study is to establish a novel and simple method to extract collagen from human adipose tissue, characterize the collagen, and compare it with commercial-grade porcine collagen for tissue engineering applications.

METHODS: We developed a method to extract the collagen from human adipose tissue under quasi-Good Manufacturing Practice (GMP) conditions, including freezing the tissue, blood removal, and ethanol-based purification. Various techniques, including protein quantification, decellularization assessment, SDS-PAGE, FTIR, and CD spectroscopy analysis, were used for characterization. Amino acid composition was compared with commercial collagen. Biocompatibility and cell proliferation tests were performed, and in vitro tests using collagen sponge scaffolds were conducted with statistical analysis.

RESULTS: Our results showed that this human adipose-derived collagen was equivalent in quality to commercially available porcine collagen. In vitro testing demonstrated high cell attachment and the promotion of cell proliferation.

CONCLUSION: In conclusion, we developed a simple and novel method to extract and characterize collagen and extracellular matrix from human adipose tissue, offering a potential alternative to animal-derived collagen for xeno-free tissue engineering applications.

PMID:38079100 | DOI:10.1007/s13770-023-00612-2

Clin Transl Oncol. 2023 Dec 11. doi: 10.1007/s12094-023-03355-7. Online ahead of print.

ABSTRACT

BACKGROUND: The use of additional treatment after surgery for stage IIIC endometrial cancer (EC) according to the Federation of Gynecology and Obstetrics (FIGO) is still a topic of discussion. This meta-analysis examined the effects of sandwich treatment and sequential treatment on the survival of individuals diagnosed with stage IIIC EC.

METHODS: We examined the literature from various databases regarding the overall survival (OS) and adverse effects of the two additional therapies following surgery in individuals diagnosed with stage IIIC EC. Revman 5.4.1 was utilized to combine hazard ratios (HR) and their corresponding 95% confidence intervals (95% CI) for OS and toxicities.

RESULTS: The findings comprised of five retrospective investigations involving a combined total of 800 individuals. The patients who underwent sandwich treatment did not demonstrate a notable improvement in survival rates over a period of 3 years. Upon eliminating the impact of extensive samples, it was discovered that sandwich therapy exhibited a superior 5-year overall survival compared to patients receiving sequential therapy. The effectiveness of sandwich therapy was superior to sequential therapy in terms of a 3-year OS for non-endometrioid histology, although the outcome did not reach statistical significance. The toxicities of both treatments were similar.

CONCLUSIONS: In terms of long-term survival, sandwich therapy was found to be more advantageous than sequential therapy for patients with stage IIIC EC, with no significant disparity observed in the 3-year OS and toxicities between the two treatments. Sandwich therapy exhibited a tendency towards improved effectiveness in patients with histology other than endometrioid.

PMID:38079088 | DOI:10.1007/s12094-023-03355-7

Psychometrika. 2023 Dec 11. doi: 10.1007/s11336-023-09941-6. Online ahead of print.

ABSTRACT

Cognitive diagnostic models (CDMs) are discrete latent variable models popular in educational and psychological measurement. In this work, motivated by the advantages of deep generative modeling and by identifiability considerations, we propose a new family of DeepCDMs, to hunt for deep discrete diagnostic information. The new class of models enjoys nice properties of identifiability, parsimony, and interpretability. Mathematically, DeepCDMs are entirely identifiable, including even fully exploratory settings and allowing to uniquely identify the parameters and discrete loading structures (the “[Formula: see text]-matrices”) at all different depths in the generative model. Statistically, DeepCDMs are parsimonious, because they can use a relatively small number of parameters to expressively model data thanks to the depth. Practically, DeepCDMs are interpretable, because the shrinking-ladder-shaped deep architecture can capture cognitive concepts and provide multi-granularity skill diagnoses from coarse to fine grained and from high level to detailed. For identifiability, we establish transparent identifiability conditions for various DeepCDMs. Our conditions impose intuitive constraints on the structures of the multiple [Formula: see text]-matrices and inspire a generative graph with increasingly smaller latent layers when going deeper. For estimation and computation, we focus on the confirmatory setting with known [Formula: see text]-matrices and develop Bayesian formulations and efficient Gibbs sampling algorithms. Simulation studies and an application to the TIMSS 2019 math assessment data demonstrate the usefulness of the proposed methodology.

PMID:38079062 | DOI:10.1007/s11336-023-09941-6

Curr Med Sci. 2023 Dec 11. doi: 10.1007/s11596-023-2813-7. Online ahead of print.

ABSTRACT

OBJECTIVE: Oral squamous cell carcinoma (OSCC) is the most common malignant tumor of the head and neck, but its occurrence and progression mechanisms remain unclear. In addition-there is a lack of effective targeting drugs. The second major subunit of DNA polymerase (POLE2) catalyzes the prolongation of new strand replication and modifies exonuclease domain activity. Our previous study found that POLE2 was associated with OSCC progression, but the mechanism remains unclear.

METHODS: The expression of POLE2 in OSCC tissues was detected using immunological assays. Mann-Whitney U analysis was used to investigate the relationship between POLE2 gene expression and tumor classification and prognosis of OSCC. POLE2 expression was inhibited in OSCC cells, and the effects of gene and protein expression were detected using RT-PCR and Western blotting. The POLE2 knockout model was constructed by transfecting a lentiviral vector. Cell proliferation, apoptosis, and migration were detected using various assays including colony formation, MTT, flow cytometry, wound healing assay, Transwell assay, and the Human Apoptosis Antibody Array. The animal model of OSCC was established by subcutaneous injection of transfected HN6 into 4-week-old female nude mice. After 30 days, tumors were removed under anesthesia and tumor weight and dimension were recorded. Tumor cell proliferation was analyzed using Ki67 staining.

RESULTS: POLE2 gene levels were significantly higher in the OSCC tissues than in the normal tissues. In addition, POLE2 gene levels were statistically correlated with tumor classification and prognosis. Silencing POLE2 inhibited the proliferation of oral cancer cells and promoted apoptosis in vitro. Animal experiments also supported a positive correlation between POLE2 and OSCC tumor formation. We further demonstrated that POLE2 could upregulate the expression of apoptosis-related proteins such as caspase-3, CD40, CD40L, DR6, Fas, IGFBP-6, p21, and SMAC. In addition, POLE2 regulated OSCC development by inhibiting the PI3K/AKT signaling pathway.

CONCLUSION: POLE2 is closely related to the progression of OSCC. Thus, POLE2 may be a potential target for OSCC treatment.

PMID:38079056 | DOI:10.1007/s11596-023-2813-7

Curr Med Sci. 2023 Dec 11. doi: 10.1007/s11596-023-2815-5. Online ahead of print.

ABSTRACT

OBJECTIVE: This study aims to identify the effect of third interstitial fluid on adverse outcomes in twin pregnancies with severe pre-eclampsia, and explore the differences in bad ending between twins and singletons.

METHODS: The present retrospective cohort study was conducted on patients with severe pre-eclampsia, who delivered in Tongji Hospital, Wuhan, China, between 2017 and 2022. The adverse outcomes in singleton and twin pregnancies with severe pre-eclampsia were initially investigated. Then, the diverse maternal and fetal consequences between singleton and twin pregnancies in patients with severe pre-eclampsia were compared after merging with the third interstitial fluid.

RESULTS: A total of 709 patients were included for the present study. Among these patients, 68 patients had twin pregnancies, and 641 patients had singleton pregnancies. The rate of postpartum hemorrhage (2.81% vs. 13.24%, P<0.001), and admission rate to the Neonatal Intensive Care Unit (NICU) after birth (30.73% vs. 63.24%, P=0.011) were significantly higher in twin pregnancies. The neonatal weight of twins was statistically lower than singletons (1964.73±510.61 g vs. 2142.92±731.25 g, P=0.008). For the groups with the third interstitial fluid, the delivery week (P=0.001) and rate of admission to the NICU after birth were significantly advanced in twin pregnancy group, when compared to singleton pregnancy group (P=0.032), and the length of hospital stay was shorter (P=0.044). Furthermore, there was no statistically significant difference between the twin pregnancy group and the singletony pregnancy group without the third interstitial fluid.

CONCLUSION: The maternal and fetal adverse outcomes of patients with severe pre-eclampsia increased in twin pregnancies, when compared to singleton pregnancies. Thus, when patients develop the third interstitial fluid, twin pregnancies would more likely lead to adverse fetal outcomes, when compared to singleton pregnancies, and there would be no significant difference in maternal adverse outcomes. More attention should be given to patients who merge with the third interstitial fluid.

PMID:38079055 | DOI:10.1007/s11596-023-2815-5

J Artif Organs. 2023 Dec 11. doi: 10.1007/s10047-023-01421-z. Online ahead of print.

ABSTRACT

PURPOSE: We developed a method to measure the extracellular and intracellular fluid volumes using the kinetics of uric acid in the bodies of Japanese patients undergoing dialysis. In this research, we aimed to assess the prognosis of vascular events using this uric acid kinetic model method.

METHODS: We conducted a retrospective cohort study of 1,298 patients who were undergoing hemodialysis or predilution online hemodiafiltration at the end of December 2019 at 13 institutions in Japan. Information on vascular events was acquired in 2020. Vascular event prognosis was defined as the new incidence of one or more of the following four types of vascular events: myocardial infarction, cerebral infarction, cerebral hemorrhage, or limb amputation. We measured the extracellular fluid volume and intracellular fluid volume after dialysis using the uric acid kinetic model method and determined the association between ECV, ICV, and vascular event risk.

RESULTS: A high extracellular volume was substantially linked to an increased risk of vascular events. In addition, while a crude analysis revealed that a high intracellular volume was associated with a low risk of vascular events, this was not statistically significant after multifactorial adjustment. This result was partly affected by the low measurement accuracy of the serum urea nitrogen level used for the intracellular volume calculation.

CONCLUSIONS: Extracellular volume calculated using the uric acid kinetic model method is a prognostic factor for vascular events in patients undergoing hemodialysis.

PMID:38079049 | DOI:10.1007/s10047-023-01421-z