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1.
JMIR Cardio ; 7: e43940, 2023 Jul 21.
Artículo en Inglés | MEDLINE | ID: mdl-37477976

RESUMEN

BACKGROUND: High blood pressure (BP) and physical inactivity are the major risk factors for cardiovascular diseases. Mobile health is expected to support patients' self-management for improving cardiovascular health; the development of fully automated systems is necessary to minimize the workloads of health care providers. OBJECTIVE: The objective of our study was to evaluate the preliminary efficacy, feasibility, and perceived usefulness of an intervention using a novel smartphone-based self-management system (DialBetes Step) in increasing steps per day among workers with high BP. METHODS: On the basis of the Social Cognitive Theory, we developed personalized goal-setting and feedback functions and information delivery functions for increasing step count. Personalized goal setting and feedback consist of 4 components to support users' self-regulation and enhance their self-efficacy: goal setting for daily steps, positive feedback, action planning, and barrier identification and problem-solving. In the goal-setting component, users set their own step goals weekly in gradual increments based on the system's suggestion. We added these fully automated functions to an extant system with the function of self-monitoring daily step count, BP, body weight, blood glucose, exercise, and diet. We conducted a single-arm before-and-after study of workers with high BP who were willing to increase their physical activity. After an educational group session, participants used only the self-monitoring function for 2 weeks (baseline) and all functions of DialBetes Step for 24 weeks. We evaluated changes in steps per day, self-reported frequencies of self-regulation and self-management behavior, self-efficacy, and biomedical characteristics (home BP, BMI, visceral fat area, and glucose and lipid parameters) around week 6 (P1) of using the new functions and at the end of the intervention (P2). Participants rated the usefulness of the system using a paper-based questionnaire. RESULTS: We analyzed 30 participants (n=19, 63% male; mean age 52.9, SD 5.3 years); 1 (3%) participant dropped out of the intervention. The median percentage of step measurement was 97%. Compared with baseline (median 10,084 steps per day), steps per day significantly increased at P1 (median +1493 steps per day; P<.001), but the increase attenuated at P2 (median +1056 steps per day; P=.04). Frequencies of self-regulation and self-management behavior increased at P1 and P2. Goal-related self-efficacy tended to increase at P2 (median +5%; P=.05). Home BP substantially decreased only at P2. Of the other biomedical characteristics, BMI decreased significantly at P1 (P<.001) and P2 (P=.001), and high-density lipoprotein cholesterol increased significantly only at P1 (P<.001). DialBetes Step was rated as useful or moderately useful by 97% (28/29) of the participants. CONCLUSIONS: DialBetes Step intervention might be a feasible and useful way of increasing workers' step count for a short period and, consequently, improving their BP and BMI; self-efficacy-enhancing techniques of the system should be improved.

2.
JMIR Diabetes ; 7(4): e40366, 2022 Nov 28.
Artículo en Inglés | MEDLINE | ID: mdl-36441577

RESUMEN

BACKGROUND: Making lifestyle changes is an essential element of abdominal obesity (AO) reduction. To support lifestyle modification and self-management, we developed an information and communication technology-based self-management system-DialBeticsLite-with a fully automated dietary evaluation function for the treatment of AO. OBJECTIVE: The objective of this study was to evaluate the preliminary efficacy and feasibility of DialBeticsLite among Japanese office workers with AO. METHODS: A 2- to 3-month prospective single-arm pilot intervention study was designed to assess the effects of the intervention using DialBeticsLite. The information and communication technology system was composed of 4 modules: data transmission (body weight, blood pressure, blood glucose, and pedometer count); data evaluation; exercise input; and food recording and dietary evaluation. Eligible participants were workers who were aged ≥20 years and with AO (waist circumference ≥85 cm for men and ≥90 cm for women). Physical parameters, blood tests, nutritional intake, and self-care behavior were compared at baseline and after the intervention. RESULTS: A total of 48 participants provided completed data for analysis, which yielded a study retention rate of 100%. The average age was 46.8 (SD 6.8) years, and 92% (44/48) of participants were male. The overall average measurement rate of DialBeticsLite, calculated by dividing the number of days with at least one measurement by the number of days of the intervention, was 98.6% (SD 3.4%). In total, 85% (41/48) of the participants reported that their participation in the study helped them to improve their lifestyle. BMI, waist circumference, and visceral fat area decreased significantly after the intervention (P<.001). In addition, the daily calorie intake reduced significantly (P=.02). There was a significant improvement in self-care behavior in terms of exercise and diet (P=.001). CONCLUSIONS: Using DialBeticsLite was shown to be a feasible and potentially effective method for reducing AO by providing users with a motivational framework to evaluate their lifestyle behaviors.

3.
Jpn J Clin Oncol ; 47(9): 786-794, 2017 Sep 01.
Artículo en Inglés | MEDLINE | ID: mdl-28633481

RESUMEN

OBJECTIVE: The purpose of this study was to investigate medication adherence to oral chemotherapy medications and determinants of medication non-adherence to them among gastroenterological cancer patients. METHODS: A cross-sectional study was conducted on 117 consecutive, consenting, eligible patients visiting an outpatient clinic of university hospital in Japan. Good medication adherence was defined as taking 100% of the prescribed dose. Medication adherence was measured via self-report. We hypothesized that there was a significant relationship between medication non-adherence and the five factors defined by the World Health Organization: patient-related, socioeconomic-related, condition-related, treatment-related, and healthcare-system/provider-related factors. Multiple logistic regression models were used to identify factors associated with oral chemotherapy medication non-adherence. RESULTS: The proportion of patients showing good medication adherence was 56.4%. The multiple logistic regression analysis revealed that the determinants of medication non-adherence to oral chemotherapy medications included having a history of patient-caused treatment interruptions due to worsening of symptoms (adjusted odds ratio [AOR] = 9.59, 95% confidence interval [CI] = 1.38-66.47), having diarrhea (AOR = 3.25, 95% CI = 1.13-9.34), experiencing pain (AOR = 0.17, 95% CI = 0.05-0.55), taking oral chemotherapy medication every 8 h (AOR = 5.52, 95% CI = 1.71-17.81), and diminished sense of priority for medication (AOR = 1.40, 95% CI = 1.21-1.63). CONCLUSIONS: This study suggests that many patients with gastroenterological cancer were non-adherent to oral chemotherapy medications. It might be necessary to conduct periodic screening and connect patients at a high risk of medication non-adherence to appropriate support.


Asunto(s)
Cumplimiento de la Medicación/estadística & datos numéricos , Neoplasias Gástricas/tratamiento farmacológico , Administración Oral , Instituciones de Atención Ambulatoria , Estudios Transversales , Femenino , Humanos , Masculino , Persona de Mediana Edad
4.
BMJ Open Diabetes Res Care ; 5(1): e000322, 2017.
Artículo en Inglés | MEDLINE | ID: mdl-28243450

RESUMEN

OBJECTIVES: To examine the prevalence of the willingness of patients with diabetes to use a self-management tool based on information and communication technology (ICT) such as personal computers, smartphones, and mobile phones; and to examine the patient characteristics associated with that willingness. RESEARCH DESIGN AND METHODS: We conducted a cross-sectional interview survey of 312 adults with diabetes at a university hospital in an urban area in Japan. Participants were classified into 2 groups: those who were willing to use an ICT-based self-management tool and those who were unwilling. Multiple logistic regression analysis was used to identify factors associated with the willingness, including clinical and social factors, current use of ICT, self-management practices, self-efficacy, and diabetes-related emotional distress. RESULTS: The mean age of the 312 participants was 66.3 years (SD=11.5) and 198 (63%) were male. Most of the participants (93%) had type 2 diabetes. Although only 51 (16%) currently used ICT-based self-management tools, a total of 157 (50%) expressed the willingness to use such a tool. Factors associated with the willingness included: not having nephropathy (OR=2.02, 95% CI 1.14 to 3.58); outpatient visits once a month or more (vs less than once a month, OR=2.13, 95% CI 1.13 to 3.99); current use of personal computers and/or smartphones (OR=4.91, 95% CI 2.69 to 8.98); and having greater diabetes-related emotional distress (OR=1.10, 95% CI 1.01 to 1.20). CONCLUSIONS: Approximately half of the patients showed interest in using an ICT-based self-management tool. Willing patients may expect ICT-based self-management tools to complement outpatient visits and to make self-management easier. Starting with patients who display the willingness factors might optimize programs based on such tools.

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