Users and non-users of web-based health advice service among Finnish university students – chronic conditions and self-reported health status (a cross-sectional study)

Abstract Purpose Prolactinomas are the most prevalent functioning pituitary adenomas. They affect gonadal function as well as health-related quality of life (HRQoL). This study aimed to report healthcare utilization and costs, including their determinants, for prolactinoma patients. Methods Cross-sectional study of 116 adult prolactinoma patients in chronic care in a Dutch tertiary referral center. Patients completed four validated questionnaires, assessing healthcare utilization and costs over the previous 12 months (Medical Consumption Questionnaire), disease bother and needs (Leiden Bother and Needs Questionnaire Pituitary), HRQoL (Short Form-36), and self-reported health status (EuroQol 5D). Regression analyses were used to assess associations between disease-related characteristics and healthcare utilization and costs. Results Mean age was 52.0 years (SD 13.7) and median follow-up was 15.0 years (IQR 7.6–26.1). Patients visited the endocrinologist (86.2%), general practitioner (37.9%), and ophthalmologist (25.0%) most frequently. Psychological care was used by 12.9% of patients and 5% were admitted to hospital. Mean annual healthcare costs were €1928 (SD 3319), mainly for pituitary-specific medication (37.6% of total costs), hospitalization (19.4%) and specialist care (16.1%). Determinants for higher healthcare utilization and costs were greater disease bother and needs for support, lower HRQoL, elevated prolactin, and longer disease duration, while tumor size, hypopituitarism and adrenal insufficiency were not significantly associated with healthcare utilization and costs. Conclusion Healthcare utilization and costs of prolactinoma patients are related to patient-reported HRQoL, bother by disease and needs for support. Therefore, addressing patients’ HRQoL and needs is a way forward to improve efficiency of care and patients’ health status.

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Is there an association between deprivation and pre-operative disease severity? A cross-sectional study of patient-reported health status

International Journal for Quality in Health Care ◽

10.1093/intqhc/mzp033 ◽

2009 ◽

Vol 21 (5) ◽

pp. 311-315 ◽

Cited By ~ 7

Author(s):

M. Soljak ◽

J. Browne ◽

J. Lewsey ◽

N. Black

Keyword(s):

Health Status ◽

Disease Severity ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Patient Reported ◽

Reported Health

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Sleep status and the associated factors, a large cross-sectional study in Shaanxi province of China

10.21203/rs.3.rs-55325/v1 ◽

2020 ◽

Author(s):

Yaxuan Zhang ◽

Jiwei Wang ◽

Xinyuan Lu ◽

Beibei Che ◽

Rui Wang ◽

...

Keyword(s):

Sleep Quality ◽

Associated Factors ◽

Musculoskeletal Diseases ◽

Cross Sectional Study ◽

Shaanxi Province ◽

Sectional Study ◽

Monthly Income ◽

Cross Sectional ◽

Reported Health ◽

Self Reported Health Status

Abstract Background This study aimed at investigating the sleep status and its associated factors in Shaanxi province of China. Methods This cross-sectional study was conducted among 11399 subjects in Shaanxi Province, China. Data was collected via spot field questionnaire survey. The contents included demographic characteristics, sleep status, lifestyles, disease history and other associated factors. Logistic regression analysis was used to estimate the effect of associated factors for sleep quality. Crude odds ratio (cOR) and adjusted odds ratio (aOR) and their 95% confident intervals (CI) were calculated. Results A total of 11036 subjects were included in the final analysis. There were 12.8% participants having a bad or very bad sleep. In the last month, 8.4% participants had difficulty in initiating sleep, 7.6% participants had difficulty in maintaining sleep, 8.8% participants suffered from awakening earlier and 10.3% participants had the problem of feeling sleepy during the day ≥ 3 times per week. There were 16.5% participants having one of the above sleep problems (difficulty in initiating sleep, difficulty in maintaining sleep, awakening early) > 3 months. Poorer sleep quality was associated with female (aOR = 1.792, p < 0.001), unmarried or without cohabiting with boyfriend/girlfriend (aOR = 1.319, 95% CI = 1.022–1.704), divorced or widowed (aOR = 1.436, 95% CI = 1.052–1.960), heart diseases (aOR = 1.478, p = 0.002), musculoskeletal diseases (aOR = 1.460, p = 0.018), concerning about their own health (aOR = 1.113, p = 0.016), alcohol drinking (aOR = 1.201, p < 0.001), taking hypnotics (aOR = 1.643, p < 0.001), a longer daily screen time (aOR = 1.055, p < 0.001). Better sleep quality was associated with medium education level (aOR = 0.748, p = 0.003), high family monthly income (aOR = 0.939, p = 0.004), good self-reported health status (aOR = 0.490, p < 0.001), having breakfast regularly (aOR = 0.935, p = 0.016). Conclusions The self-reported sleep quality was generally good in Shaanxi, China. Sleep quality was associated with gender, marital status, educational level, family monthly income, heart disease, musculoskeletal diseases, degree of concerning about their own health, self-reported health status, alcohol drinking, having breakfast, take hypnotics and daily screen time.

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