scholarly journals Frequency and factors associated with foregone and delayed medical care due to COVID‐19 among nonelderly US adults from August to December 2020

2021 ◽  
Author(s):  
Theodoros V. Giannouchos ◽  
John M. Brooks ◽  
Elena Andreyeva ◽  
Benjamin Ukert
Keyword(s):  
Medical Care ◽  
Factors Associated

scholarly journals Use of Folk Therapy in Taiwan: A Nationwide Cross-Sectional Survey of Prevalence and Associated Factors

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Chun-Chuan Shih ◽  
Lu-Hsiang Huang ◽  
Hsin-Long Lane ◽  
Chin-Chuan Tsai ◽  
Jaung-Geng Lin ◽  
...  
Keyword(s):  
Health Behaviors ◽  
Medical Care ◽  
National Health ◽  
Associated Factors ◽  
Medical Utilization ◽  
Care Utilization ◽  
Research Database ◽  
Unhealthy Lifestyle ◽  
Cross Sectional Survey ◽  
Factors Associated

Background. This study investigates the prevalence of and factors associated with users of folk therapy in Taiwan.Methods. Using data from the 2005 National Health Interview Survey and the National Health Insurance Research Database, we identified 16,750 adults aged 20 years and older. Sociodemographic factors, lifestyle, medical utilization, and health behaviors were compared between people using and not using folk therapy. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of factors associated with folk therapy were analyzed.Results. The one-month prevalence of folk therapy use was 6.8%, which was significantly associated with ages of 30–59 years (OR = 1.98, 95% CI = 1.49–2.63), women (OR = 1.63, 95% CI = 1.40–1.90), nonindigenous population (OR = 1.90, 95% CI = 1.14–3.17), having two or more unhealthy lifestyle habits (OR = 1.51, 95% CI = 1.26–1.81), high density of traditional Chinese medicine (TCM) physicians (OR = 1.40, 95% CI = 1.20–1.62), and being ill without receiving medical care in past six months (OR = 2.11, 95% CI = 1.76–2.53). Medical care utilization of TCM and Western medicine were also associated factors for folk therapy.Conclusions. The use of folk therapy is correlated with sociodemographics, lifestyle and health behaviors.

scholarly journals Factors associated with using the internet for medical information based on the doctor-patient trust model: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yang Fu ◽  
Tianwei Tang ◽  
Junhao Long ◽  
Bohuai Lin ◽  
Jiayue Li ◽  
...  
Keyword(s):  
Medical Treatment ◽  
Medical Care ◽  
Medical Information ◽  
Cross Sectional Study ◽  
Behavioural Intention ◽  
Total Effect ◽  
Patient Trust ◽  
Cross Sectional ◽  
Factors Associated ◽  
Personal Trust

Abstract 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.

Factors associated with HIV-infected women's delay in seeking medical care

AIDS Care ◽  
1998 ◽  
Vol 10 (5) ◽  
pp. 549-562 ◽  
Author(s):  
V. H. RAVEIS ◽  
K. SIEGEL ◽  
E. GOREY
Keyword(s):  
Medical Care ◽  
Factors Associated

Factors Associated With Age of Presentation to Gender-Affirming Medical Care

PEDIATRICS ◽  
2021 ◽  
Vol 147 (4) ◽  
pp. e2020026674
Author(s):  
Julia C. Sorbara ◽  
Hazel L. Ngo ◽  
Mark R. Palmert
Keyword(s):  
Medical Care ◽  
Factors Associated

scholarly journals The burden of self-reported acute gastrointestinal illness in Italy: a retrospective survey, 2008–2009

2011 ◽  
Vol 140 (7) ◽  
pp. 1193-1206 ◽  
Author(s):  
G. SCAVIA ◽  
F. BALDINELLI ◽  
L. BUSANI ◽  
A. CAPRIOLI
Keyword(s):  
Medical Care ◽  
Incidence Rate ◽  
Telephone Survey ◽  
Case Definition ◽  
Gastrointestinal Illness ◽  
Care Seeking ◽  
Acute Gastrointestinal Illness ◽  
Factors Associated ◽  
Duration Of Illness ◽  
Children And Young Adults

SUMMARYA retrospective telephone survey (n=3490) was conducted in Italy between 2008 and 2009 to estimate the occurrence of self-reported acute gastrointestinal illness (AGI) and to describe subjects' recourse to healthcare, using a symptom-based case definition. Three hundred and ten AGI cases were identified. The annual incidence rate was 1·08 episodes/person-year (95% confidence interval 0·90–1·14). The proportion of subjects consulting physicians was 39·5% while only 0·3% submitted a specimen for laboratory investigation. Risk factors for AGI and medical care-seeking were identified using logistic regression analysis. Females, children and young adults had a significantly higher incidence rate of AGI. Factors associated with medical care-seeking were age <10 years, presence of fever, diarrhoea, and duration of illness >3 days. Our results provide a relevant contribution towards estimating the global burden of AGI using standard methods that ensure a good level of comparability with other studies.

scholarly journals Frequency and Factors Associated with Foregone and Delayed Medical Care due to COVID-19 Among Non-Elderly US Adults from August to December 2020

2021 ◽  
Author(s):  
Theodoros Giannouchos ◽  
John M. Brooks ◽  
Elena Andreyeva ◽  
Benjamin Ukert
Keyword(s):  
Mental Health ◽  
Medical Care ◽  
Mental Health Problems ◽  
Age Groups ◽  
Healthcare Provision ◽  
Income Levels ◽  
Factors Associated ◽  
Final Sample ◽  
The Us ◽  
Self Reported Health Status

Objectives: To estimate the frequency and factors associated with foregone and delayed medical care attributed to the COVID-19 pandemic among non-elderly adults from August to December 2020 in the US. Methods: We used three survey waves from the Urban Institute’s Household Pulse Survey (HPS) collected between August 19 to 31, October 14 to 26, and December 9 to 21. The final sample included 155,825 non-elderly (18 to 64) respondents representing 135,835,598 million individuals in the US. We used two multivariable logistic regressions to estimate the association between respondents’ characteristics and foregone and delayed care. Results: The frequency of foregone and delayed medical care were 26.9% and 35.9%, respectively. Across all income levels, around 60% of respondents reported difficulties in paying for usual household expenses in the last 7 days. More than half reported several days of mental health issues. The regression results indicated that foregone or delayed care were significantly associated with difficulties in paying usual household expenses (across all income levels) (P<.001), worse self-reported health status (P<.001), increased mental health problems (P<.001), Veterans Affairs (P<.001) or Medicaid (P=.002) coverage compared to private healthcare coverage, and older age groups. Individuals who participated in the latter two waves of the survey (October, December) were less likely to report foregone and delayed care compared to those who participated in wave 1 (August). Conclusion: Overall, the frequency of foregone and delayed medical care remained high from August to December 2020 among non-elderly US adults. Our findings highlight that pandemic-induced access barriers are major drivers of reduced healthcare provision during the second half of the pandemic and highlight the need for policies to support patients in seeking timely care.

scholarly journals Factors Associated with Delayed Initiation of HIV Medical Care Among Infected Persons Attending a Southern HIV/AIDS Clinic

2006 ◽  
Vol 99 (5) ◽  
pp. 472-481 ◽  
Author(s):  
Christopher S. Krawczyk ◽  
Ellen Funkhouser ◽  
J Michael Kilby ◽  
Richard A. Kaslow ◽  
Amita K. Bey ◽  
...  
Keyword(s):  
Medical Care ◽  
Factors Associated ◽  
Delayed Initiation ◽  
Hiv Aids

scholarly journals Factors Associated with Timeliness of Surgical Repair among Infants with Myelomeningocele: California Perinatal Quality Care Collaborative, 2006 to 2011

2019 ◽  
Vol 37 (12) ◽  
pp. 1234-1242
Author(s):  
Vijaya Kancherla ◽  
Chen Ma ◽  
Gerald Grant ◽  
Henry C. Lee ◽  
Gary M. Shaw ◽  
...  
Keyword(s):  
Medical Care ◽  
Surgical Repair ◽  
Quality Care ◽  
Private Insurance ◽  
Multidisciplinary Teams ◽  
Clinical Practices ◽  
Adjusted Risk ◽  
Factors Associated ◽  
Delayed Repair ◽  
Myelomeningocele Repair

Abstract Objective This study aimed to examine factors associated with timely (0–2 days after birth) myelomeningocele surgical repair. Study Design We examined 2006 to 2011 births from the California Perinatal Quality Care Collaborative, linking to hospital discharge and vital records. Selected maternal, infant, and delivery hospital characteristics were evaluated to understand disparities in timely repair. Poisson regression was used to estimate adjusted risk ratios (aRRs) and 95% confidence intervals (CIs). Results Overall, 399 of the 450 (89%) infants had a timely repair and approximately 80% of them were delivered in level III/IV hospitals. Infants with hydrocephalus were significantly less likely to have a delayed myelomeningocele repair compared with those without (aRR = 0.22; 95% CI = 0.13, 0.39); infants whose medical care was paid by Medi-Cal or other nonprivate insurance were 2.2 times more likely to have a delayed repair compared with those covered by a private insurance (aRR = 2.23; 95% CI = 1.17, 4.27). Low birth weight was a significant predictor for delayed repair (aRR = 2.06; 95% CI = 1.10, 3.83). Conclusion There was a significant disparity in myelomenigocele repair based on medical care payer. Families and hospitals should work together for timely repair in hospitals having specialized multidisciplinary teams. Findings from the study can be used to follow best clinical practices for myelomeningocele repair.

Factors impacting time to diagnosis in pediatric, adolescent and young adult (AYA) patients with solid tumors.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e21515-e21515
Author(s):  
Elysia Marie Alvarez ◽  
Lena Winestone ◽  
Jeffrey McPheeters ◽  
Diane Puccetti ◽  
Jennifer Jill Wilkes ◽  
...  
Keyword(s):  
Medical Care ◽  
Germ Cell Tumors ◽  
Young Patients ◽  
Soft Tissue Sarcomas ◽  
Cancer Type ◽  
Factors Associated ◽  
Significant Difference ◽  
Patient Reported ◽  
Time To Diagnosis ◽  
Delays In Diagnosis

e21515 Background: While cancer is the leading cause of non-accidental death in children and AYAs, factors associated with delays in diagnosis in young patients with cancer are poorly understood; we sought to fill this knowledge gap. Methods: Using the OptumLabs Data Warehouse’s claims data for commercially insured enrollees in a large US health plan—we identified pediatric [0-14 years (y)] and AYA (15–39 y) patients diagnosed with soft tissue sarcomas (STS), bone tumors (BT) and germ cell tumors (GCT) during 2001–17 and continuously enrolled 6 months prior to diagnosis. Time to diagnosis was calculated as days between first medical encounter associated with a possible cancer symptom and diagnosis date. Median times from first symptom to diagnosis were compared using Wilcoxon Rank Sum test. Multivariable logistic regression identified sociodemographic and clinical factors associated with longer time ( > 3 months) from symptom to diagnosis. Results: Of the 11,395 patients, 86% presented to medical care with symptoms prior to diagnosis [STS: 2,228 (89%); BT: 1,565 (87%); GCT: 5,904 (84%)]. The most common symptoms were pain and swelling. STS had the longest median days to diagnosis (92), followed by BT (91) and GCT (49). There was a significant difference (p < 0.001) in median days to diagnosis by age for BT (0–14y: 69; 15–21y: 77; 22–39y: 105) and GCT (0–14y: 96; 15–21y: 34; 22–39y: 49), but not for STS. Patients in households with ≥ a college degree (OR 1.96, 95% CI 1.06–3.64, vs < high school) and seeing a specialist (excluding oncologists) (OR 2.54, CI 2.03–3.19, vs primary care) at first symptom presentation was associated with a longer delay, while older age (22–39y: OR 0.77, CI 0.63–0.94, vs 0-14y) and male sex (OR 0.58, CI 0.51–0.66) were associated with a shorter delay in diagnosis. Conclusions: This study demonstrates that, in a commercially insured population, time to diagnosis varies by cancer type and is impacted by clinical and sociodemographic factors. Shorter time to diagnosis may represent delays in presenting to medical care or more acute presentations of symptoms, therefore patient-reported symptoms and barriers to care data should be collected to better define strategies to reduce delays in diagnosis.

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