Current Issue : April-June Volume : 2022 Issue Number : 2 Articles : 5 Articles
Objective: To understand the appetite and nutritional status of hospitalized patients in a tertiary A general hospital in Guangzhou, Guangdong Province. Methods: A cross-sectional survey of appetite and nutritional status assessment on inpatients in 44 wards of the hospital was conducted. Taking all “conscious patients hospitalized for more than 48 hours” in the hospital on November 25, 2020 as the survey subjects, the patients’ appetite, dietary intake, nutrition and nutritional support in the past week were investigated. Results: A total of 890 cases were investigated, among which 25 cases (2.81%) with missing data were excluded, and thus 865 investigated cases were considered effective. The incidence of nutritional risk was 28.67%, malnutrition 13.29%, external tube feeding nutrition 3.24%, parenteral nutrition 7.05%, and oral nutritional supplement 10.40%. The average score of appetite assessment was (6.99 ± 2.43) points. Among them, cases with appetite assessment scores < 5 points accounted for 15.84%, and 52 patient cases utilized appetite-improving drugs. Among the 137 patients with appetite scores < 5, only 7 patients utilized appetite-improving drugs. The patients’ dietary selfevaluation scores were averagely (4.08 ± 1.16) points, and the daily intake compliance rate of patients was 85.78%. Appetite assessment score was correlated with dietary intake score (r = 0.548) and daily intake compliance rate (r = 0.263) (p < 0.01). The differences in body weight, BMI, grip strength, albumin, and hemoglobin concentration of patients with different appetite states were statistically different (p < 0.01). Appetite was an influencing factor of................
Background: Internet medical care has been advancing steadily, especially during the coronavirus disease 2019 pandemic, the development momentum of Internet medical care in China is more vigorous. This study aimed to explore the factors associated with using the Internet for medical information, to examine the popularisation and implementation of Internet medical treatment and feasible strategies, and promote the further development of Internet medical treatment. Methods: A cross-sectional study was conducted on 408 medical patients who had used online medical services. The one-way analysis of variance or independent samples t-test was used to compare the differences in the influence of demographic characteristics on behavioural intentions of different people seeking medical care. Pearson’s correlation was used to evaluate the correlation between different measurement variables. A mediation regression analysis was used to explore the mediating role of trust in Internet medical care. Results: The difference in the influence of Internet medical use frequency on the behavioural intention of different participants was statistically significant (F = 3.311, P = 0.038). Among the influencing factors, personal trust propensity (r = 0.387, P < 0.01), website credibility (r = 0.662, P < 0.01), hospital credibility (r = 0.629, P < 0.01), doctor’s credibility (r = 0.746, P < 0.01), and online patient trust (r = 0.874, P < 0.01) were positively correlated with patients’ behavioural intentions. In the analysis of intermediary factors, the total effect of the credibility of the diagnosis and treatment website on the behavioural intention of patients was 0.344. The total effect of the credibility of the diagnosis and treatment hospital on the behavioural intention of patients was 0.312; the total effect of the service doctor’s credibility on the patient’s behavioural intention was 0.385; the total effect of the personal trust tendency on the patient’s behavioural intention was 0.296. Conclusions: This study found defects in various factors that produce distrust in Internet medical treatment. It also reveals the positive effect of trust factors on the development and implementation of Internet medical treatment and provides some ideas for improving the use of Internet medical treatment by the masses....
initiation and in the course of in- and outpatient specialist palliative care (I-SPC/O-SPC). Methods: Pts entering an urban SPC network consecutively completed questionnaires on psychosocial/spiritual problems and support needs within 72 h (T0) as well as within the first 6 weeks (T1) of SPC. Hierarchical linear regression analysis was used to investigate the impact of sociodemographic / disease-related variables, psychological / physical burden, social support, and SPC setting on the extent of support needs. Results: Four hundred twenty-five pts (70 years, 48% female, 91% cancer, 67% O-SPC) answered at T0, and 167 at T1. At T0, main problems related to transportation, usual activities, and dependency (83–89%). At T1, most prevalent problems also related to transportation and usual activities and additionally to light housework (82–86%). At T0, support needs were highest for transportation, light housework, and usual activities (35–41%). Cross-sectional comparisons of SPC settings revealed higher problem scores in O-SPC compared to I-SPC at T0 (p = .039), but not at T1. Support need scores were higher in O-SPC at T0 (p < .001), but lower at T1 (p = .039). Longitudinal analyses showed a decrease of support need scores over time, independent from the SPC setting. At T0, higher distress (p = .047), anxiety/depression (p < .001), physical symptom burden (p < .001) and I-SPC (p < .001) were associated with higher support need scores (at T1: only higher distress, p = .037). Conclusion: Need for additional professional psychosocial/spiritual support was identified in up to 40% of pts. with higher need at the beginning of O-SPC than of I-SPC. During SPC, this need decreased in both settings, but got lower in O-SPC than in I-SPC over time. Support need scores were not only associated with psychological, but also physical burden....
Background: Specialist palliative care teams (SPCTs) in hospitals improve quality of life and satisfaction with care for patients with advanced disease. However, referrals to SPCTs are often limited. To identify areas for improvement of SPCTs’ service penetration, we explored the characteristics and level of integration of palliative care programmes and SPCTs in Dutch hospitals and we assessed the relation between these characteristics and specialist palliative care referral rates. Methods: We performed a secondary analysis of a national cross-sectional survey conducted among hospitals in the Netherlands from March through May 2018. For this survey, a previously developed online questionnaire, containing 6 consensus-based integration indicators, was sent to palliative care programme leaders in all 78 hospitals. For referral rate we calculated the number of annual inpatient referrals to the SPCT as a percentage of the number of total annual hospital admissions. Referral rate was dichotomized into high (≥ third quartile) and low (< third quartile). Characteristics of SPCTs with high and low referral rate were compared using univariate analyses. P-values < 0.05 were considered significant. Results: In total, 63 hospitals (81%) participated in the survey, of which 62 had an operational SPCT. The palliative care programmes of these hospitals consisted of inpatient consultation services (94%), interdisciplinary staffing (61%), outpatient clinics (45%), dedicated acute care beds (21%) and community-based palliative care (27%). The median referral rate was 0.56% (IQR 0.23–1.0%), ranging from 0 to 3.7%. Comparing SPCTs with high referral rate (≥1%, n = 17) and low referral rate (< 1%, n = 45) showed significant differences for SPCTs’ years of existence, staffing, their level of education, participation in other departments’ team meetings, provision of education and conducting research. With regard to integration, significant differences were found for the presence of outpatient clinics and timing of referrals. Conclusion: In the Netherlands, palliative care programmes and specialist palliative care teams in hospitals vary in their level of integration and development, with more mature teams showing higher referral rates. Appropriate staffing, dedicated outpatient clinics, education and research appear means to improve service penetration and timing of referral for patients with advanced diseases....
Backgrounds: Early integration of palliative care for terminally ill non-cancer patients improves quality of life. However, there are scanty data on Palliative Care Consultation Service (PCCS) among non-cancer patients. Methods: In this 9-year observational study Data were collected from the Hospice-Palliative Clinical Database (HPCD) of Taichung Veterans General Hospital (TCVGH). Terminally ill non-cancer patients with 9 categories of diagnoses who received PCCS during 2011 to 2019 were enrolled. Trend analysis was performed to evaluate differences in categories of diagnosis throughout study period, duration of PCCS, patient outcomes, DNR declaration, awareness of disease by patients and families before and after PCCS. Results: In total, 536 non-cancer patients received PCCS from 2011 to 2019 with an average age of 70.7 years. The average duration of PCCS was 18.4 days. The distributions of age, gender, patient outcomes, family’s awareness of disease before PCCS, and patient’s awareness of disease after PCCS were significantly different among the diagnoses. Organic brain disease and Chronic kidney disease (CKD) were the most prevalent diagnoses in patients receiving PCCS in 2019. For DNR declaration, the percentage of patients signing DNR before PCCS remained high throughout the study period (92.8% in 2019). Patient outcomes varied according to the disease diagnoses. Conclusion: This 9-year observational study showed that the trend of PCCS among non-cancer patients had changed over the duration of the study. An increasing number of terminally ill non-cancer patients received PCCS during late life, thereby increasing the awareness of disease for both patients and families, which would tend to better prepare terminally ill patients for end-of-life as they may consider DNR consent. Early integration of PCCS into ordinary care for terminally non-cancer patients is essential for better quality of life....
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