Psychosocial factors and patient and healthcare delays in large (class T3-T4) oral, oropharyngeal, and laryngeal carcinomas.

BACKGROUND: Psychosocial factors and socioeconomic status have been associated with incidence, survival, and quality of life among patients with head and neck cancer. We investigated the association between different psychosocial factors, socioeconomic status, and patient delays in T3-T4 oral, oropharyngeal, and laryngeal cancer. PATIENTS AND METHODS: We conducted a nationwide prospective questionnaire-based study (n = 203) over a 3-year period. RESULTS: We found no association between psychosocial factors (depression, social isolation, loneliness, and cynical hostility) and patient delay. Depression was three times more common among head and neck cancer patients compared with the general Finnish population. Head and neck cancer patients had lower educational levels and employment status, and were more often current smokers and heavy drinkers. CONCLUSIONS: Although we found no association between patient delay and psychosocial factors, patients diagnosed with a large head and neck cancer appeared to have a lower socioeconomic status and higher risk for developing depression, which should be considered in clinical practice.

Factors affecting delays in seeking treatment among malaria patients during the pre-certification phase in China.

BACKGROUND: Delays in malaria treatment can not only lead to severe and even life-threatening complications, but also foster transmission, putting more people at risk of infection. This study aimed to investigate the factors influencing treatment delays among malaria patients and their health-seeking behaviour. METHODS: The medical records of 494 patients diagnosed with malaria from 6 different malaria-endemic provinces in China were analysed. A bivariate and multivariable regression model was used to investigate the association between delays in seeking treatment and various factors. A Sankey diagram was used to visualize the trajectories of malaria patients seeking medical care. Total treatment delays were categorized as patient delays and doctor delays. RESULTS: The incidence of total delays in seeking malaria treatment was 81.6%, of which 28.4% were delayed by patients alone and 34.8% by doctors alone. The median time from the onset of symptoms to the initial healthcare consultation was 1 day. The median time from the initial healthcare consultation to the conclusive diagnosis was 2 day. After being subjected to multiple logistic regression analysis, living in central China was less likely to experience patient delays (OR = 0.43, 95% CI 0.24-0.78). The factors significantly associated with the lower likelihood of doctor delays included: age between 30 to 49 (OR = 0.43, 95% CI 0.23-0.81), being single/divorce/separated (OR = 0.48, 95% CI 0.24-0.95), first visiting a county-level health institution (OR = 0.25, 95% CI 0.14-0.45), first visiting a prefectural health institution (OR = 0.06, 95% CI 0.03-0.12) and first visiting a provincial health institution (OR = 0.05, 95%CI 0.02-0.12). Conversely, individuals with mixed infections (OR = 2.04, 95% CI 1.02-4.08) and those experiencing periodic symptoms (OR = 1.71, 95% CI 1.00-2.92) might face increased doctor delays. Furthermore, higher financial burden and complications were found to be associated with patient delays. Doctor delays, in addition to incurring these two consequences, were associated with longer hospital stays. CONCLUSION: There was a substantial delay in access to health care for malaria patients before China was certified malaria free. Region, marital status, periodic symptoms and the level of health institutions were factors contributing to delays in treatment-seeking among malaria patients.

Prevalence and influencing factors of patient delay in stroke patients: a systematic review and meta-analysis.

PURPOSE: Determine the prevalence and influencing factors of patient delay in stroke patients and explore variation in prevalence by country and delayed time. METHODS: PubMed, The Cochrane Library, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Database (CBM), Weipu database, and Wanfang database were comprehensively searched for observational studies from inception to April, 2023. The pooled prevalence, odds ratio (OR), and 95% confidence intervals (CI) were calculated with Stata 16.0 software. RESULTS: In total, 2721 articles were screened and data from 70 studies involving 85,468 subjects were used in meta-analysis. The pooled prevalence of patient delay in stroke patients was 59% (95% CI, 0.54-0.64). The estimates of pooled prevalence calculated for African, Asian, and European patient delay in stroke patients were 55% (0.29-0.81), 61% (0.56-0.66), and 49% (0.34-0.64).According to the patient delay time, the prevalence of 6 h, 5 h, 4.5 h, 3.5 h, 3 h and 2 h were 54% (0.47-0.61), 73% (0.61-0.86), 60% (0.49-0.71), 81% (0.68-0.93), 52% (0.42-0.62), 63% (0.19-1.07). Distance from the place of onset to the hospital > 10 km [OR=2.49, 95%CI (1.92, 3.24)], having medical insurance [OR = 0.45, 95%CI (0.26,0.80)], lack of stroke-related knowledge [OR = 1.56, 95%CI (1.08,2.26)], education level below junior high school [OR = 1.69, 95%CI (1.22,2.36)], non-emergency medical services (Non-EMS) [OR = 2.10, 95%CI (1.49,2.97)], living in rural areas [OR = 1.54, 95%CI (1.15,2.07)], disturbance of consciousness [OR = 0.60, 95%CI (0.39,0.93)], history of atrial fibrillation [OR = 0.53, 95%CI (0.47,0.59)], age ≥ 65 years [OR = 1.18, 95%CI (1.02,1.37)], National institutes of health stroke scale (NIHSS) ≤ 4 points [OR= 2.26, 95%CI (1.06,4.79)]were factors for patient delay in stroke patients. CONCLUSIONS: The prevalence of patient delay in stroke patients is high, we should pay attention to the influencing factors of patient delay in stroke patients and provide a theoretical basis for shortening the treatment time of stroke patients.

Pre-hospital management and patient-related factors affecting access to the surgical care of appendicitis - a survey study.

BACKGROUND AND AIMS: Long pre-hospital delay substantially increases the likelihood of perforated appendicitis. This study aimed to find patient-related factors affecting this delay. METHODS: A survey was conducted for patients with acute appendicitis after appendectomy. The participants were asked about their path to the surgical center and socioeconomic status. Variables affecting delays and the rate of complicated appendicitis were analyzed. RESULTS: The study included 510 patients; 157 (31%) had complicated appendicitis with a median prehospital delay of 42 h. In patients with uncomplicated appendicitis, the delay was 21 h, p < .001. Forty-six (29%) patients with complicated appendicitis were not referred to the hospital after the first doctor's visit. The multivariate analysis discovered factors associated with long pre-hospital delay: age 40-64 years (OR 1.63 (95% CI 1.06-2.52); compared to age 18-39), age more than 64 years (OR 2.84 (95% CI 1.18-6.80); compared to age 18-39), loss of appetite (OR 2.86 (95% CI 1.64-4.98)), fever (OR 1.66 (95% CI 1.08-2.57)), non-referral by helpline nurse (OR 2.02 (95% CI 1.15-3.53)) and non-referral at first doctors visit (OR 2.16 (95% CI 1.32-3.53)). Age 40-64 years (OR 2.41 (95% CI 1.50-3.88)), age more than 64 years (OR 8.79 (95% CI 2.19-35.36)), fever (OR 1.83 (95% CI 1.15-2.89)) and non-referral at first doctors visit (OR 1.90 (95% CI 1.14-3.14)) were also risk factors for complicated appendicitis. CONCLUSIONS: Advanced age, fever and failure to suspect acute appendicitis in primary care are associated with prolonged pre-hospital delay and complicated appendicitis.

Type of cancer and complementary and alternative medicine are determinant factors for the patient delay experienced by children with cancer: A study in West Java, Indonesia.

INTRODUCTION: Most pediatric cancer patients in developing countries present at an advanced stage due to delayed diagnosis, being an important barrier to effective care. The objective of this study was to evaluate the associated factor of patient delay and explore significant parental practice-associated risk factor to patient delay. METHODS: This was a sequential mixed methodology, utilizing data from the Indonesian Pediatric Cancer Registry for clinical variables and completed interviews with parents using structured questionnaires to obtain their sociodemographic data. A binary logistic regression analysis model was fitted to identify factors associated with patient delay. Additional semi-structured interviews related to parental practice of using complementary and alternative medicine (CAM) were administered to 30 parents. Thematic framework analysis was performed on qualitative data to explore determinant factors of parental practice of using CAM. RESULTS: We interviewed 356 parents with children with cancer. The median patient delay was 14 days (interquartile range [IQR]: 6-46.5 days). The most extended delay was in patients with malignant bone tumors (median 66, IQR: 14-126). In multivariable logistic regression analysis, solid cancer (odds ratio [OR] = 5.22, 95% confidence interval [CI]: 2.79-9.77, p < .001) and use of CAM (OR = 1.86, 95% CI: 1.13-3.08, p = .015) were associated with patient delay. Qualitative interviews highlighted key issues relative to determinant parental factors using CAM, including vague initial childhood cancer symptoms, parental health-seeking behavior, CAM availability and accessibility, also barriers of healthcare facilities. CONCLUSION: Type of cancer and use of CAM are essential factors that cause patient delay. It should be addressed in the future childhood cancer awareness and childhood cancer diagnosis pathway.

Factors associated with diagnostic delay of pulmonary tuberculosis among children and adolescents in Quzhou, China: results from the surveillance data 2011-2021.

PURPOSE: Tuberculosis is a high-burden disease and a major health concern in China, especially among children and adolescents. The purpose of this study was to assess risk factors for diagnostic delay in students with pulmonary tuberculosis in Quzhou City in eastern China. PATIENTS AND METHODS: Cases of PTB in students and relevant information in Quzhou from 2011 to 2021 were collected using the TB Management Information System. The outcome of interest was diagnostic delay (i.e. ≥ 28 days between symptom onset and treatment initiation). Risk factors for diagnostic delay were identified using multivariable logistic regression. RESULTS: A total of 629 students in Quzhou were diagnosed with PTB during the study period, of whom 55.5% were male. The median diagnostic delay was 18 days (Inter Quartile Range, [IQR]: 8-38) and 38.0% of the students had a diagnostic delay. Living in a rural area (adjusted odds ratio, [AOR]: 1.56, 95% confidence interval [CI:] 1.11-2.19), developing PTB symptoms in the first quarter of the year (AOR: 2.18, 95% CI: 1.40-3.40), and no sputum smear result (AOR: 8.73, 95% CI: 1.68-45.30) were significantly associated with a diagnostic delay. Discovery through health examinations (AOR: 0.33, 95% CI: 0.17-0.63) was associated with reduced risk of diagnostic delay. CONCLUSION: Schools in rural areas should pay special attention to increasing student awareness of the symptoms of tuberculosis and provide health education on tuberculosis prevention and control to students and staff.

Diagnostic delay in autoimmune oral diseases.

Autoimmune diseases (ADs) affect about 5% of the general population, causing various systemic and/or topical clinical manifestations. The oral mucosa is often affected, sometimes as the only involved site. The misdiagnosis of oral ADs is an underreported issue. This narrative review focuses on diagnostic delay (DD) in oral ADs (oral lichen planus [OLP], oral Pemphigus Vulgaris, mucous membrane pemphigoid, oral lupus erythematosus, orofacial granulomatosis, oral erythema multiforme [EM], and Sjogren syndrome). Extensive literature research was conducted via MEDLINE, Embase and Google Scholar databases for articles reporting the time spent to achieve the correct diagnosis of oral ADs. Only 16 studies reported DD in oral ADs. Oral autoimmune vesiculobullous diseases are usually diagnosed after 8 months from the initial signs/symptoms, the Sjogren Syndrome diagnosis usually requires about 73 months. No data exist about the DD in OLP, oral lupus erythematosus, orofacial granulomatosis, and oral EM. The diagnosis of oral ADs can be difficult due to the non-specificity of their manifestations and the unawareness of dentists, physicians, and dental and medical specialists about these diseases. This can lead to a professional DD and a consequential treatment delay. The delay can be attributed to the physicians or/and the healthcare system (Professional Delay) or the patient (Patient's Delay).

Analysis of factors influencing patient delay by patients with pulmonary tuberculosis in Lishui City, Zhejiang Province.

OBJECTIVE: The purpose of this study was to collect data on the current state of patient delay by patients with tuberculosis (TB) in Lishui City, Zhejiang Province who were under the care of a TB-designated hospital from 2011 to 2021 and to analyze the factors that contribute to this problem in order to provide a scientific basis for the prevention and control of TB. METHODS: In this observational study, we collected data on patients with pulmonary TB that were reported to the Chinese government's disease prevention and control information system by the Traditional Chinese Medicine Hospital in Lishui City between 2011 and 2021. The data included demographics like age, gender, occupation, household registration, current address, date of symptoms, date of first visit, and etiology results. Multivariate logistic regression analysis was used to analyze the factors influencing patient delay by patients with pulmonary TB. RESULTS: There were 3,190 cases of pulmonary TB treated in a TB-designated hospital in Lishui City, Zhejiang Province, between 2011 and 2021. Of these, 2,268 involved patient delay, with the delay rate of 71.10% and the median (Q25, Q75) days of patient delay being 36 (25, 72) days. Results of multivariate logistic regression analysis indicated the presence of risk factors-age > 60 years old (OR = 1.367, 95% CI: 1.144 ~ 1.632), pathogen positive (OR = 1.211, 95% CI: 1.033 ~ 1.419), and employed as peasants (OR = 1.353, 95% CI:1.144 ~ 1.601) for patient delay in patients with pulmonary TB. Patients with diabetes mellitus made up 64.94% of the pulmonary TB population, which was lower than the 71.58% of patients without diabetes mellitus (χ2 = 4.602, P = 0.032). Additionally, the presence of diabetes mellitus may be a protective factor in patient delay in patients with pulmonary TB (OR = 0.641, 95% CI: 0.481 ~ 0.856). CONCLUSION: High rates of patient delay, age > 60 years old, a positive etiology, and being employed as peasants are all possible risk factors for pulmonary TB in Lishui City, Zhejiang Province.

Trends of a decade in risk factors of patient delay among pulmonary tuberculosis patients during fast aging and urbanization - analysis of surveillance data from 2008 to 2017 in Wuhan, China.

BACKGROUND: Tuberculosis (TB) is a leading infectious cause of morbidity and mortality worldwide. However, delay in health care seeking has remained unacceptably high. The aim of this study was to clarify the trend of patient delay and its associated risk factors during rapid aging and urbanization in Wuhan, China from 2008 to 2017. METHODS: A total of 63,720 TB patients registered at Wuhan TB Information Management System from January 2008 to December 2017 were included. Long patient delay (LPD) was defined as patient delay longer than 14 days. Independent associations of area and household identity with LPD, as well their interaction effect, were tested by logistic regression models. RESULTS: Among 63,720 pulmonary TB patients, 71.3% were males, the mean age was 45.5 ± 18.8 years. The median patient delay was 10 days (IQR, 3-28). A total of 26,360 (41.3%) patients delayed for more than 14 days. The proportion of LPD decreased from 44.8% in 2008 to 38.3% in 2017. Similar trends were observed in all the subgroups by gender, age and household, except for living area. The proportion of LPD decreased from 46.3 to 32.8% in patients living near downtown and increased from 43.2 to 45.2% in patients living far from downtown. Further interaction effect analysis showed that among patients living far from downtown, the risk of LPD for local patients increased with age, while decreased with age for migrant patients. CONCLUSION: Although the overall LPD among pulmonary TB patients declined in the past decade, the extent of reduction varied in different subgroups. The elderly local and young migrant patients living far from downtown are the most vulnerable groups to LPD in Wuhan, China.

Investigating the role of symptom valorisation in tuberculosis patient delay in urban areas in Portugal.

BACKGROUND: Diagnosis delay contributes to increased tuberculosis (TB) transmission and morbimortality. TB incidence has been decreasing in Portugal, but median patient delay (PD) has risen. Symptom valorisation may determine PD by influencing help-seeking behaviour. We aimed to analyse the association between symptom valorisation and PD, while characterising individuals who disregarded their symptoms. METHODS: A cross-sectional study was conducted among TB patients in Lisbon and Oporto in 2019 - 2021. Subjects who delayed seeking care because they did not value their symptoms or thought these would go away on their own were considered to have disregarded their symptoms. PD was categorised using a 21-day cut-off, and a 30-day cut-off for sensitivity analysis. We estimated the effect of symptom valorisation on PD through a directed acyclic graph. Then, a multivariable regression analysis characterised patients that disregarded their symptoms, adjusting for relevant variables. We fitted Poisson regression models to estimate crude and adjusted prevalence ratios (PR). RESULTS: The study included 75 patients. Median PD was 25 days (IQR 11.5-63.5), and 56.0% of participants had PD exceeding 21 days. Symptom disregard was reported by 38.7% of patients. Patients who did not value their symptoms had higher prevalence of PD exceeding 21 days compared to those who valued their symptoms [PR 1.59 (95% CI 1.05-2.42)]. The sensitivity analysis showed consistent point estimates but wider confidence intervals [PR 1.39 (95% CI 0.77-2.55)]. Being a smoker was a risk factor for symptom disregard [PR 2.35 (95% CI 1.14-4.82)], while living in Oporto [PR 0.35 (95% CI 0.16-0.75)] and having higher household incomes [PR 0.39 (95% CI 0.17-0.94)] were protective factors. CONCLUSIONS: These findings emphasise the importance of symptom valorisation in timely TB diagnosis. Patients who did not value their symptoms had longer PD, indicating a need for interventions to improve symptom recognition. Our findings also corroborate the importance of the socioeconomic determinants of health, highlighting tobacco as a risk factor both for TB and for PD.

Association Between Online Health Information-Seeking Behaviors by Caregivers and Delays in Pediatric Cancer: Mixed Methods Study in China.

BACKGROUND: Pediatric cancer patients in China often present at an advanced stage of disease resulting in lower survival and poorer health outcomes. One factor hypothesized to contribute to delays in pediatric cancer has been the online health information-seeking (OHIS) behaviors by caregivers. OBJECTIVE: This study aims to examine the association between OHIS behaviors by caregivers and delays for Chinese pediatric cancer patients using a mixed methods approach. METHODS: This study used a mixed methods approach, specifically a sequential explanatory design. OHIS behavior by the caregiver was defined as the way caregivers access information relevant to their children's health via the Internet. Delays in pediatric cancer were defined as any one of the following 3 types of delay: patient delay, diagnosis delay, or treatment delay. The quantitative analysis methods included descriptive analyses, Student t tests, Pearson chi-square test, and binary logistic regression analysis, all performed using Stata. The qualitative analysis methods included conceptual content analysis and the Colaizzi method. RESULTS: A total of 303 pediatric cancer patient-caregiver dyads was included in the quantitative survey, and 29 caregivers completed the qualitative interview. Quantitative analysis results revealed that nearly one-half (151/303, 49.8%) of patients experienced delays in pediatric cancer, and the primary type of delay was diagnosis delay (113/303, 37.3%), followed by patient delay (50/303, 16.5%) and treatment delay (24/303, 7.9%). In this study, 232 of the 303 (76.6%) caregiver participants demonstrated OHIS behaviors. When those engaged in OHIS behaviors were compared with their counterparts, the likelihood of patient delay more than doubled (odds ratio=2.21; 95% CI 1.03-4.75). Qualitative analysis results showed that caregivers' OHIS behaviors impacted the cancer care pathway by influencing caregivers' symptom appraisal before the first medical contact and caregivers' acceptance of health care providers' diagnostic and treatment decisions. CONCLUSIONS: Our findings suggest that OHIS among Chinese pediatric caregivers may be a risk factor for increasing the likelihood of patient delay. Our government and society should make a concerted effort to regulate online health information and improve its quality. Specialized freemium consultations provided by health care providers via online health informatic platforms are needed to shorten the time for caregivers' cancer symptom appraisal before the first medical contact.

Breast Cancer Treatment Delay in SafetyNet Health Systems, Houston Versus Southeast Brazil.

BACKGROUND: Breast cancer outcomes among patients who use safety-net hospitals in the highly populated Harris County, Texas and Southeast Brazil are poor. It is unknown whether treatment delay contributes to these outcomes. METHODS: We conducted a retrospective cohort analysis of patients with non-metastatic breast cancer diagnosed between January 1, 2009 and December 31, 2011 at Harris Health Texas and Unicamp's Women's Hospital, Barretos Hospital, and Brazilian National Institute of Cancer, Brazil. We used Cox proportional hazards regression to evaluate association of time to treatment and risk of recurrence (ROR) or death. RESULTS: One thousand one hundred ninety-one patients were included. Women in Brazil were more frequently diagnosed with stage III disease (32.3% vs. 21.1% Texas; P = .002). Majority of patients in both populations had symptom-detected disease (63% in Brazil vs. 59% in Texas). Recurrence within 5 years from diagnosis was similar 21% versus 23%. Median time from diagnosis to first treatment defined as either systemic therapy (chemotherapy or endocrine therapy) or surgery, were comparable, 9.9 weeks versus 9.4 weeks. Treatment delay was not associated with increased ROR or death. Higher stage at diagnosis was associated with both increased ROR and death. CONCLUSION: Time from symptoms to treatment was considerably long in both populations. Treatment delay did not affect outcomes. IMPACT: Access to timely screening and diagnosis of breast cancer are priorities in these populations.

Appropriate Health Management Considering the Vulnerability of Women during Disasters.

In situations of a disaster, it has been observed that the damage suffered by women and men is not equal. The vulnerability of women during disasters has been the focus of several studies and disaster management guidelines. Records show that there were more women victims than men victims in both the Great Hanshin-Awaji Earthquake in 1995 and the Great East Japan Earthquake (GEJE) in 2011. Biologically speaking, women are physically less fit than men are; hence, they are more susceptible to physical disabilities induced by disasters and may be disadvantaged in evacuation situations. However, vulnerability of women during disasters is a complex problem that involves physical fitness, as well as other various factors. In the Sendai Framework for Disaster Risk Reduction 2015-2030 (SFDRR) adopted in 2015, prioritized actions such as "Build Back Better" were defined based on the GEJE experiences. In the SFDRR, in addition to vulnerability of women during disasters, medical services including maternal, newborn, and child health and sexual and reproductive health are considered the key factors for disaster risk reduction. This has been discussed in all phases of disaster risk reduction planning and post-disaster response. These findings suggest that the role of obstetrics and gynecology is comprehensive and important as a part of disaster medicine at the local and national levels, as recommended in the SFDRR. In this review, we summarized the management of women's health and gynecological responses during disasters and considered the importance of women as stakeholders in disaster risk reduction.

Patient delay in a coronavirus disease 2019 (COVID-19) outbreak in Tianjin, China from January to February 2020.

BACKGROUND: Patient delay of COVID-19 patients occurs frequently, which poses a challenge to the overall epidemic situation. In this study, we aimed to evaluate the extent of patient delay, explore its factors, and investigate the effects of patient interval on epidemic situation. METHODS: A retrospective cohort study was conducted with 136 COVID-19 patients in Tianjin, China. Factors associated with patient delay were explored using logistic regression models. The relationship was investigated by spearman correlation analysis and mean absolute error between patient interval of lagging days and epidemic situation. RESULTS: The factors associated with patient delay of COVID-19 patients were mainly the imported cases, the first presentation to a tertiary hospital, close contacts and spatial accessibility to fever clinic. The longer the patient intervals of lagging days, the greater the number of new-onset and confirmed cases in 3-4 and 5-7 days after the first day symptoms, respectively. CONCLUSION: Identification and quarantine of close contacts, promoting the spatial accessibility to fever clinics and creating public awareness are crucial to shortening patient delays to flat the curve for COVID-19.

From neglect to earlier diagnosis: a qualitative meta-synthesis of psycho-social factors associated with consultation delay in advanced basal cell carcinoma.

Local malignant potential of basal cell carcinoma (BCC) can lead at advanced stages to the destruction of underlying tissues and significant morbidity. The primary risk factor for progression of advanced basal cell carcinoma (aBCC) is the long duration of the tumour, which results from delay in seeking medical care. To assess the implication of psycho-social factors in the delay before the first medical consultation among patients with aBCC, in order to identify potentially targetable factors enabling earlier diagnosis. Three-step qualitative meta-synthesis: (1) systematic review of the literature; (2) structured qualitative analysis of these documents; (3) construction of a logical model. After screening, 81 articles were included. Self-neglect and denial in patients are roundly put forward as the main obstacles to consultation. We found that avoidance behaviour, mistaken interpretation and banalisation of symptoms, and fear of treatment all played a role. The strongest motivation to seek help comes from the realisation that new symptoms may be dangerous; the role of interpersonal surroundings is highlighted as helpful. Patient delay has multifactorial origins in aBCC, especially self-neglect ranging from denial of tumours to conscious refusal of treatment.

Factors associated with patient delay for older adults with benign prostatic hyperplasia: A descriptive qualitative study.

Based on the theory of planned behavior, the aim of this study was to describe the influencing factors of patient delay intentions and behaviors in benign prostatic hyperplasia (BPH) patients and to provide a reference for the development of a patient delay intention scale. This study was carried out over 4 months in 2021 in Daqing, Heilongjiang, China. The participants were 20 patients with BPH who were aged 60 to 82 years and experienced patient delay; participants were selected through a purposive sampling method. The data were collected via face-to-face semistructured interviews. Five main themes emerged from the interviews, including an insufficient understanding of symptoms, experiences of coping instead of seeking health care, negative attitudes toward care-seeking, the influence of others on decision-making for care-seeking, and obstacles to seeking health care. In conclusion, the patient delay intentions and behaviors of BPH patients are the result of a combination of many factors.

Diagnostic and treatment delay among new pulmonary tuberculosis patients in Southern India: A cross-sectional study.

Background: Delay in diagnosis and treatment enhances tuberculosis (TB) transmission and mortality. Understanding causes for delay can help in TB elimination by 2025, the stated goal of India. Objectives: Estimate diagnostic and treatment delay in Ernakulam district of Kerala, identify associated factors, and determine health-seeking behavior and knowledge regarding TB among new pulmonary TB patients. Materials and Methods: Community-based cross-sectional study among the new pulmonary TB patients registered under Revised National TB Control Program. Patients interviewed in-person and data collected using pretested semi-structured questionnaire. Descriptive statistics expressed as frequency, percent, interquartile range, median, and mean. The Chi-square test was used to assess statistical significance (P < 0.05) of association. Backward conditional method logistic regression done using variables with P < 0.2 in univariate analysis and adjusting for possible confounders. Results: Two hundred and twenty-nine patients interviewed and the median patient, health-care system, and treatment delay were 25 days, 22 days, and 1 day, respectively. While the patient delay (>30 days) and treatment delay (>2 days) were seen in 47.6% and 41% of patients, respectively, health-care system delay was seen in 79.9% of the patients. Choosing pharmacy for initial treatment (adjusted odds ratio [aOR] = 5.217), unskilled occupation (aOR = 3.717), female gender (aOR = 3.467), previously not heard about TB (aOR = 3.410), and lower education level (aOR = 2.774) were the independent predictors of the patient delay. Visiting two or more doctors (aOR = 5.855) and initially visiting a doctor of undergraduate qualification (aOR = 3.650) were the independent predictors of health-care system delay. The diagnosis in private sector (aOR = 8.989), not being admitted (aOR = 3.441), and age above 60 years (aOR = 0.394) was the independent predictors of treatment delay. Conclusion: Initial treatment from pharmacy, consulting multiple physicians, and diagnosis by private sector cause significant delay in diagnosis and treatment of pulmonary TB.

Duration and determinants of delayed tuberculosis diagnosis and treatment in high-burden countries: a mixed-methods systematic review and meta-analysis.

BACKGROUND: Thirty countries with the highest tuberculosis (TB) burden bear 87% of the world's TB cases. Delayed diagnosis and treatment are detrimental to TB prognosis and sustain TB transmission in the community, making TB elimination a great challenge, especially in these countries. Our objective was to elucidate the duration and determinants of delayed diagnosis and treatment of pulmonary TB in high TB-burden countries. METHODS: We conducted a systematic review and meta-analysis of quantitative and qualitative studies by searching four databases for literature published between 2008 and 2018 following PRISMA guidelines. We performed a narrative synthesis of the covariates significantly associated with patient, health system, treatment, and total delays. The pooled median duration of delay and effect sizes of covariates were estimated using random-effects meta-analyses. We identified key qualitative themes using thematic analysis. RESULTS: This review included 124 articles from 14 low- and lower-middle-income countries (LIC and LMIC) and five upper-middle-income countries (UMIC). The pooled median duration of delays (in days) were-patient delay (LIC/LMIC: 28 (95% CI 20-30); UMIC: 10 (95% CI 10-20), health system delay (LIC/LMIC: 14 (95% CI 2-28); UMIC: 4 (95% CI 2-4), and treatment delay (LIC/LMIC: 14 (95% CI 3-84); UMIC: 0 (95% CI 0-1). There was consistent evidence that being female and rural residence was associated with longer patient delay. Patient delay was also associated with other individual, interpersonal, and community risk factors such as poor TB knowledge, long chains of care-seeking through private/multiple providers, perceived stigma, financial insecurities, and poor access to healthcare. Organizational and policy factors mediated health system and treatment delays. These factors included the lack of resources and complex administrative procedures and systems at the health facilities. We identified data gaps in 11 high-burden countries. CONCLUSIONS: This review presented the duration of delays and detailed the determinants of delayed TB diagnosis and treatment in high-burden countries. The gaps identified could be addressed through tailored approaches, education, and at a higher level, through health system strengthening and provision of universal health coverage to reduce delays and improve access to TB diagnosis and care. PROSPERO registration: CRD42018107237.

Impact of delay in diagnosis and treatment-initiation on disease stage and survival in oral cavity cancer: a systematic review.

AIM/OBJECTIVES: This study aimed to systematically review the literature on the impact of delay in diagnosis and treatment of oral cavity cancer. METHODS: PubMed and Embase were systematically searched for articles reporting impact of delay in diagnosis and treatment on cancer-stage and survival of oral cavity cancer. Studies comprising at least ten patients, and published since the year 2000, were included. RESULTS: Sixteen studies (n = 45,001, range: 62-18,677 per study, 83% men), from Australia, Asia, Europe, North America and South America, met the inclusion criteria. Eleven studies (n = 1,460) examined delay in diagnosis, while five studies (n = 43,541) reported delay in treatment. Eight of the eleven studies, examining delay in diagnosis (n = 1,220), analyzed the correlation between delay in diagnosis and tumor stage at diagnosis. Three studies found a significant correlation between patient delay and advanced stage at diagnosis (p < 0.05), whereas three other studies did not. The studies reporting a significant correlation were from Asian countries, whereas the three studies that did not find a correlation were from other continents. Studies reporting on professional delay and total diagnostic delay, generally, did not find a significant correlation with advanced cancer at diagnosis. Time to treatment (TTI), defined as time from diagnosis to treatment, was found significantly correlated with survival in three studies (p < 0.01, p < 0.001, p < 0.05), and nonsignificant in two studies. CONCLUSION: A significant correlation between patient delay and advanced stage cancer was reported in Asian studies only, while professional delay and total diagnostic delay were generally found to be non-correlated with advanced stage cancer at diagnosis. TTI was in some studies reported to be correlated with poorer outcome, while other studies did not report a correlation. One study presented that there was no clear advantage in overall survival (OS) for patients treated within 30 days, compared to patients treated between 30 and 44 days.

Stroke patient's alarm choice: General practitioner or emergency medical services.

OBJECTIVES: Stroke patients should be treated as soon as possible since the benefit of reperfusion therapies is highly time-dependent. The proportion of patients eligible for reperfusion therapy is still limited, as many patients do not immediately alarm healthcare providers. The choice of healthcare system entrance influences the time of arrival in the hospital. Therefore, we assessed differences in these choices to obtain insight for strategies to reduce time delays in acute stroke patients. MATERIALS AND METHODS: Patients with suspected acute stroke admitted to the participating hospitals received a questionnaire. We assessed differences between patients who initially alarmed the general practitioner (GP) and patients who directly alarmed the emergency medical services (EMS). Additionally, we assessed regional differences and patient trajectories after medical help was sought. RESULTS: We included 163 patients. Most patients alarmed the GP as primary healthcare provider (n = 104; 64%), and median onset-to-door times were longer in these patients (466 minutes [IQR 149-1586]) compared to patients directly alarming the EMS (n = 59; 36%) (90 minutes [IQR 45-286]). This was even more pronounced in less densely populated areas. Patients who alarmed the GP first, more often had patient delay >15 minutes, hesitated to burden healthcare providers and underestimated symptomatology. CONCLUSIONS: Our results showed that patients who alarmed the GP first instead of the EMS differed in several factors that are potentially modifiable. Strategies to achieve reduction of vital prehospital time delays and to improve patient outcome are optimizing public awareness campaigns and GP triage along with adjusting current guidelines by enabling and focusing on immediate involvement of the EMS once acute stroke is suspected.