Longer Patient Delay Research Articles

Assessing heterogeneity of patient and health system delay among TB in a population with internal migrants in China.

The diagnostic delay of tuberculosis (TB) contributes to further transmission and impedes the implementation of the End TB Strategy. Therefore, we aimed to describe the characteristics of patient delay, health system delay, and total delay among TB patients in Shanghai, identify areas at high risk for delay, and explore the potential factors of long delay at individual and spatial levels. The study included TB patients among migrants and residents in Shanghai between January 2010 and December 2018. Patient and health system delays exceeding 14 days and total delays exceeding 28 days were defined as long delays. Time trends of long delays were evaluated by Joinpoint regression. Multivariable logistic regression analysis was employed to analyze influencing factors of long delays. Spatial analysis of delays was conducted using ArcGIS, and the hierarchical Bayesian spatial model was utilized to explore associated spatial factors. Overall, 61,050 TB patients were notified during the study period. Median patient, health system, and total delays were 12 days (IQR: 3-26), 9 days (IQR: 4-18), and 27 days (IQR: 15-43), respectively. Migrants, females, older adults, symptomatic visits to TB-designated facilities, and pathogen-positive were associated with longer patient delays, while pathogen-negative, active case findings and symptomatic visits to non-TB-designated facilities were associated with long health system delays (LHD). Spatial analysis revealed Chongming Island was a hotspot for patient delay, while western areas of Shanghai, with a high proportion of internal migrants and industrial parks, were at high risk for LHD. The application of rapid molecular diagnostic methods was associated with reduced health system delays. Despite a relatively shorter diagnostic delay of TB than in the other regions in China, there was vital social-demographic and spatial heterogeneity in the occurrence of long delays in Shanghai. While the active case finding and rapid molecular diagnosis reduced the delay, novel targeted interventions are still required to address the challenges of TB diagnosis among both migrants and residents in this urban setting.

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

BackgroundDiagnosis 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.MethodsA 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).ResultsThe 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.ConclusionsThese 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.

Measuring leprosy case detection delay and associated factors in Indonesia: a community-based study

BackgroundLeprosy is a public health burden in Indonesia with a high number of new cases every year and a high proportion of disability among new cases. Case detection delay (CDD) can contribute to ongoing transmission and increased disability chances among leprosy patients. This study aimed to establish the CDD of leprosy and the factors associated with detection delay in Indonesia.MethodCommunity-based study with a cross-sectional design. Data were collected through interviews about sociodemographic and behavioral factors, anticipated stigma, and duration of CDD. Leprosy classification and case detection methods were obtained from health service records. A random sample was taken of 126 leprosy patients registered between 1st October 2020 and 31st March 2022 in the Tegal regency in the Central Java Province. Data were analysed by descriptive and analytical statistics using multiple linear regression.ResultsThe mean CDD, patient delay, and health system delay were 13.0 months, 9.7 months, and 3.2 months, respectively. Factors associated with longer CDD are younger age (below 35 years), male, found through passive case detection, and not having a family member with leprosy. Factors associated with longer patient delay were being younger (below 35 years), being male, not having a family member with leprosy, and anticipated stigma of leprosy. It was not possible to reliably identify factors associated with health system delay.ConclusionCDD in leprosy should be reduced in Indonesia. The Indonesian National Leprosy Control Program (NLCP) is advised to adopt an integrated intervention programme combining active case detection with targeted health education to reduce CDD and thereby preventing disabilities in people affected by leprosy.

Patient and health care delays in large (class T3-T4) oral, oropharyngeal, and laryngeal carcinomas.

Head and neck cancers (HNCs) are often diagnosed at an advanced stage. We investigated the lengths and factors associated with patient, primary health care (PHC), and specialist care (SC) delays in T3-T4 oral, oropharyngeal, and laryngeal cancer. A nationwide prospective questionnaire-based study (n=203) with the 3-year long data collection period. The median patient, PHC and SC delays were 58, 13, and 43 days, respectively. Lower level of education, heavy alcohol use, hoarseness, difficulties breathing, and eventual palliative treatment associated with a longer patient delay. A lump on the neck or facial swelling associated with a shorter PHC delay. Conversely, if symptoms were treated as an infection, PHC delay was longer. The treatment modality and tumor site affected SC delay. Patient delay stands as the most notable factor contributing to delays before treatment. HNC symptom awareness thus remains especially important among HNC risk groups.

Delay in presentation and reperfusion therapy in ST-segment elevation myocardial infarction: Gaps between practice and the guidelines

Developing an efficient regional ST-segment elevation myocardial infarction (STEMI) network in our country has become a challenging priority. In our study, we aimed to assess the factors associated with prolonged delays to reperfusion in STEMI patients treated with Primary PCI or rescue PCI. Patients with STEMI treated with PCI from 2018 until 2019 were prospectively enrolled. Subjects were classified according to the presence of diabetes and according to the origin of the referral. Delays from chest pain onset to the diagnosis of STEMI as well as delays from the diagnosis of STEMI to reperfusion therapy were analyzed. Our population consisted of 225 patients. Baseline characteristics were similar. Diabetes was not associated with longer delays to reperfusion while the source of referral was significantly associated with longer patient delays. In fact, patients out of Sousse had received lytic therapy 5,77 ± 4,12 hours after chest pain onset versus 3,76 ± 2,5 hours for patients in Sousse; P = 0,03. Also, it took 13,09 ± 6,44 hours for patients out of Sousse to diagnose STEMI and thus, decide to perform a primary PCI versus 5,36 ± 4,84 hours for patients in Sousse; P < 0,001. For the system delays, there was no significant difference in the delay from the failure of the lytic therapy to the rescue PCI for patients in Sousse compared to patients out of Sousse (4,5 ± 4,68 hours vs. 6,5 ± 4,34 hours; P = 0,069). However, the delay from the diagnosis of STEMI in the emergency department to the primary PCI was significantly longer for patients out of Sousse (0,76 ± 0,81 hours vs. 2,5 ± 0,64 hours; P < 0,001). Shortening the time from symptoms to reperfusion is a great challenge in STEMI care. To improve the overall care of patients with STEMI particularly in our country, improvements should be focusing on how to minimize the total ischemia time.

Total ischaemic time in STEMI: factors influencing systemic delay.

Total ischaemic time in ST-elevation myocardial infarction (STEMI) has been shown to be a predictor of mortality. The aim of this study was to assess the total ischaemic time of STEMIs in an Irish primary percutaneous coronary intervention (pPCI) centre. A single-centre prospective observational study was conducted of all STEMIs referred for pPCI from October 2017 until January 2019. There were 213 patients with a mean age 63.9 years (range 29-96 years). The mean ischaemic time was 387 ± 451.7 mins. The mean time before call for help (patient delay) was 207.02 ± 396.8 mins, comprising the majority of total ischaemic time. Following diagnostic electrocardiogram (ECG), 46.5% of patients had ECG-to-wire cross under 90 mins as per guidelines; 73.9% were within 120 mins and 93.4% were within 180 mins. Increasing age correlated with longer patient delay (Pearson's r=0.2181, p=0.0066). Women exhibited longer ischaemic time compared with men (508.96 vs. 363.33 mins, respectively, p=0.03515), driven by a longer time from first medical contact (FMC) to ECG (104 vs. 34 mins, p=0.0021). The majority of total ischaemic time is due to patient delay, and this increases as age increases. Women had longer ischaemic time compared with men and longer wait from FMC until diagnostic ECG. This study suggests that improved awareness for patients and healthcare staff will be paramount in reducing ischaemic time.

Delayed diagnosis of active pulmonary tuberculosis - potential risk factors for patient and healthcare delays in Portugal

BackgroundEarly diagnosis and treatment of pulmonary tuberculosis (PTB) is essential for an effective control of the tuberculosis (TB) epidemic. Delayed diagnosis and treatment of TB increases the chance of complications and mortality for the patients, and enhances TB transmission in the population. Therefore, the aim of this study was to characterize patient, healthcare and total delay in diagnosing PTB and assess the effect of clinical and sociodemographic factors on the time until first contact with healthcare or reaching a PTB diagnosis.MethodsRetrospective cohort study that included active PTB patients notified in the National Tuberculosis Surveillance System (SVIG-TB), between 2008 and 2017. Descriptive statistics, Kaplan-Meier estimates, logrank test and Cox proportional hazards model were used to characterize patient, healthcare and total delay and estimate the effect of clinical and sociodemographic variables on these delays. Significance level was set at 0.05.ResultsMedian patient, healthcare and total delays was 37 days (Interquartile range (IQR): 19–71), 8 days (IQR: 1–32) and 62 days (IQR: 38–102), respectively.The median patient delay showed a constant increase, from 33 days in 2008 to 44 days in 2017. The median total delay presented a similar trend, increasing from 59 days in 2008 to 70 days in 2017. Healthcare delay remained constant during the study period. More than half of the PTB cases (82.9%) had a delay > 1 month between symptom onset and diagnosis.In the final Cox model, alcohol abuse, unemployment and being from a high TB incidence country were factors significantly associated with longer patient delay, while being female, having more than 45 years, oncologic and respiratory diseases were associated with longer healthcare delay. Being female, having more than 45 years and being from a high TB incidence country were associated with longer total delay.ConclusionsPatient delay and total delay have increased in recent years. Older patients, patients with alcohol problems, other comorbidities, unemployed or from countries with high TB incidence would benefit from the development of specific public health strategies that could help reduce the delay in TB diagnosis observed in our study.This study emphasizes the need to promote awareness of TB in the general population and among the healthcare community, especially at ambulatory care level, in order to reduce the gap between beginning of symptoms and TB diagnosis.

Patient and healthcare delays in critical and non-critical pulmonary tuberculosis incidence areas in Portugal: are there differences?

ObjectivesTo characterize patient, healthcare, and total delay in diagnosing pulmonary tuberculosis (PTB) in critical (higher PTB incidence) and non-critical (lower PTB incidence) areas and their determinants considering clinical and sociodemographic factors. Study designRetrospective cohort study. MethodsData was retrieved from the Portuguese National Tuberculosis Surveillance System (SVIG-TB). Were included in the study all active PTB patients (n = 11,762) notified between 2008 and 2017. Spatial analysis was used to define critical and non-critical areas. Kaplan–Meier estimator, logrank test, and Cox regression were conducted, stratified by area. ResultsPTB cases in critical areas (n = 6594, 56.1%) presented longer patient median delay (41 vs 31days), shorter healthcare median delay (7 vs 10 days), and longer total median delay (63 vs 61days) t.han non-critical areas. Patient and total delay increased in both areas over time, while healthcare delay only increased in non-critical areas. Icn both areas, being from a high TB incidence country and alcohol abuse were associated with longer patient delays. Being female, older age, and oncologic diseases were associated with longer healthcare delays. Respiratory diseases were only associated with a longer healthcare delay in non-critical areas. Being female, older, and from a high TB incidence country were associated with a longer total delay in both areas. ConclusionsPatient delay was significantly longer in critical areas, and healthcare delay was significantly longer in non-critical areas. Several factors associated with longer delays have been identified, most of which are shared by critical and non-critical areas. Differences in patient and healthcare delay, for example, by sex, age, or country of birth, highlight the need for targeted public health interventions to help reduce these differences.

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

BackgroundThirty 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.MethodsWe 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.ResultsThis 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.ConclusionsThis 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.

Low socioeconomic position is a risk factor for delay to treatment and mortality of testicular cancer patients in Hungary, a prospective study

BackgroundIn Hungary, the mortality rate for testicular germ cell cancer (TGCC) is 0,9/100000 which is significantly higher than the EU average. We prospectively evaluated the effect of socioeconomic position on patient delay and therapy outcomes.MethodsQuestionnaires on subjective social status (MacArthur Subjective Status Scale), objective socioeconomic position (wealth, education, and housing data), and on patient’s delay were completed by newly diagnosed TGCC patients.ResultsPatients belonged to a relatively high socioeconomic class, a university degree was double the Hungarian average, Cancer-specific mortality in the highest social quartile was 1.56% while in the lowest social quartile 13.09% (p = 0.02). In terms of patient delay, 57.2% of deceased patients waited more than a year before seeking help, while this number for the surviving patients was 8.0% (p = 0.0000). Longer patient delay was associated with a more advanced stage in non-seminoma but not in seminoma, the correlation coefficient for non-seminoma was 0.321 (p < 0.001). For patient delay, the most important variables were the mother’s and patient’s education levels (r = − 0.21, p = 0.0003, and r = − 0.20, p = 0.0005), respectively. Since the patient delay was correlated with the social quartile and resulted in a more advanced stage in non-seminoma, the lower social quartile resulted in higher mortality in non-seminoma patients (p = 0.005) but not in seminoma patients (p = 0.36) where the patient delay was not associated with a more advanced stage.ConclusionsBased on our result, we conclude that to improve survival, we should promote testicular cancer awareness, especially among the most deprived populations, and their health care providers.

Desquamative gingivitis: a challenging diagnosis for clinicians.

Introduction Diagnosis of underlying causes for desquamative gingivitis (DG) is often delayed in clinical settings, but little is known about factors influencing its delayed diagnosis. We investigated the diagnostic patterns and associated factors in a cohort of patients presenting primarily with DG.Materials and methods A total of 41 patients presenting primarily with DG were interviewed to evaluate professional and patient diagnostic delays. Severity of DG was evaluated using the desquamative gingivitis clinical score (DGCS) proposed by Arduino <i>et al.</i> (2017).Results The study sample was composed of 29 females and 12 males. On average, patients waited 10.8 ± 10 months (range 4-20 months) before seeking their first professional consultation (that is, patient delay). Less severe disease and female gender were significantly associated with longer patient delay. Patients consulted an average of 4.1 ± 2 healthcare professionals (range two to six) before a definitive diagnosis was reached, with an average professional delay of 7.3 ± 5 months (range 2-11 months). Professional delay was positively correlated with the number of professional consultations (r = 0.69) and absence of other oral mucosal lesions or extraoral involvement.Conclusions Considerable diagnostic delay is a feature of the natural history of DG. Increased patient knowledge and professional awareness regarding DG symptoms and diagnostic measures is needed to reduce diagnostic delay and improve patients' experience with this disease.

Factors influencing patient and health care delays in Oropharyngeal Cancer

BackgroundThe incidence of human papillomavirus (HPV)–associated oropharyngeal squamous cell carcinoma (OPSCC) is increasing. Patients with HPV-associated and HPV-unassociated OPSCC differ in many aspects, which may also impact their diagnostic and management timelines. This study aims at studying the patient, primary health care (PHC) and specialist-care (SC) delays and possible differences between these two patient groups in seeking medical care.MethodsWe reviewed all new patients with OPSCC treated between 2016 and 2018 at our institute, which covers a referral area of 1.6 million people. We collected data on patients’ symptoms and factors influencing why they sought medical care using a patient-reported questionnaire and hospital records. We compared delays based on patient and tumor characteristics.ResultsIn our study population of 83 patients, the median patient delay was 30 days (range, 0–366), with a median PHC delay of 15 days (range, 0 days–2.5 years), and a median SC delay of 54 days (range, 12–231). The SC delay was further divided into diagnostic hospital delay and treatment delay, each with a median length of 16 days (range, 0–237) and 29 days (range, 0–73), respectively. Furthermore, we found that p16 status did not associate with delays. A longer patient delay associated with specific tumor factors, such as a larger primary tumor and a lower UICC 7th edition stage. Patients that had multiple visits or did not have a follow-up visit scheduled at the initial appointment had longer PHC delays. Treatment delay was significantly longer for patients scheduled for (chemo-)radiotherapy than for those undergoing surgery with or without (chemo-)radiotherapy.ConclusionsAlthough delays remained short for the majority of OPSCC patients, long delays require further evaluation and improvement of management. Awareness of presenting symptoms among cancer risk patients and prompt referral practice or a follow-up visit at PHC represent key factors to shortening these delays. Ultimately, the causes for delays in SC appear multifactorial and require institutional quality control.

P951The factors influencing total ischaemic time in patients presenting with STEMI in an Irish tertiary referral centre

Abstract Background Despite highly functioning primary percutaneous coronary intervention (PPCI) programmes, STEMI is still associated with significant morbidity and mortality. The European Society of Cardiology STEMI guidelines in 2017 introduced a novel metric relating to STEMI patients: “total ischaemic time”. This time-period starts at the onset of chest pain and ends at wire cross, and it is thought to accurately reflect burden of myocardial destruction. Aims To assess the total ischaemic time of patients presenting with STEMI in an Irish tertiary referral centre and the factors influencing delays in presentation and treatment. Methods Prospective cohort analysis was conducted on all patients presenting with STEMI from October 2017 to January 2019. Patients were included if they had a culprit lesion that was successfully revascularized. All information was recorded at time of presentation. Bayesian statistics were employed to conduct the analysis. Results 158 patients were recruited. Mean age was 61 (range29–96). Male:female ratio 5:1 in this cohort. Average total ischaemic time was 409.4mins ±501.4. The average time from chest pain to “call for help” (i.e. patient delay) was 208.3mins ±397.8, which represented 50.89% of the total ischaemic time (see Figure 1). The average time from “call for help” to first medical contact (FMC) was 18.4mins ±30.07. Average time from FMC to ECG was 44.9mins ±151.16, and was dependent upon type of FMC (Primary care 127mins vs paramedic 25mins p=0.030932). After FMC, 48.7% of patients had an ECG performed in under 10mins as per guidelines. After ECG was performed, 46.4% of patients had ECG to “wire cross” time under 90mins as per guidelines; 65.8% were within 120 mins and 91.4% were within 180mins. Those presenting to their general practitioner as FMC were significantly less likely to have both an ECG &lt;10mins (NNH 2.84 95% CI 1.79–6.91) and ECG to wire time of &lt;90mins (NNH 6.13 95% CI 2.88–48.70). As age increased, so too did total ischaemic time (Pearson R=0.164, p=0.043), which was dependent on increasing patient delay with age (Pearson R=0.2181, p=0.0066). Women had a higher total ischaemic time than men (546 vs 382mins p=0.0233). This was determined to be as a result of: a numerically higher patient delay (220 vs 206 mins, p=0.214) and women having a longer time from FMC to ECG (104mins vs 34mins, p=0.0021). Conclusion Over 50% of the total ischaemic time was due to patient delay, suggesting a role for cardiovascular awareness programmes. Increasing age was associated with longer patient delay, indicating a need for directed awareness in this demographic. Women had a higher total ischaemic time, and waited a significantly longer time for ECG following FMC; highlighting the need for awareness amongst healthcare professionals of atypical clinical features associated with STEMI in women. Patients who attended their GP waited longer for an ECG and, once performed, were less likely to be revascularised within 90mins.

Causes for delay before specialist consultation in head and neck cancer

Background: Head and neck cancers are often diagnosed at a late stage, thus resulting in a generally poor prognosis. This is partly attributable to patients’ hesitancy in seeking treatment. However, the length and causes of these patient delays remain relatively unknown.Material and methods: We included all new head and neck cancer patients treated at our tertiary care center between 2016 and 2017. Using a patient questionnaire, we collected data on patients’ symptoms and other factors related to seeking medical care, and recorded both patient- and primary health care-related delays. We then compared the data collected from these patients to patient and tumor characteristics collected from hospital records, and analyzed various causes for delay before a specialist consultation to the Department of Otorhinolaryngology – Head and Neck Surgery.Results: Among the patients (n = 142) in our study, the median patient delay was 35 d with 73% of patients seeking medical care within 3 months. In comparison, the median primary health-care delay was 20 d. Certain symptoms influenced patient delay. Hoarseness and breathing difficulties correlated with longer patient delay while patients with a lump on the neck had a shorter delay. Patient delay was associated with certain tumor-related factors such as the tumor site and the presence of regional metastases, which resulted in shorter patient delay. None of the patient-related factors appeared to impact delay. Important factors influencing primary health-care delay included the initial location visited and whether any follow-up visit was scheduled or not.Conclusions: Although most patients sought medical advice without a major delay and were adequately referred, we found that long delays existed. Raising awareness of the symptoms of head and neck cancer among general population and health-care providers is probably the best way to get patients to curative treatment without delay.

Determinants of patient and health system delay among Italian and foreign-born patients with pulmonary tuberculosis: a multicentre cross-sectional study

ObjectivesThe aim of this cross-sectional study was to identify key factors associated with patient delay (PD), health system delay (HSD) and total delay (TOTD) in patients with tuberculosis (TB) to...

Factors associated with the length of delay with tuberculosis diagnosis and treatment among adult tuberculosis patients attending at public health facilities in Gondar town, Northwest, Ethiopia

BackgroundEarly diagnosis and prompt treatment is essential for an effective tuberculosis (TB) control program. However, significant proportion of cases remains undiagnosed and untreated. Delay in diagnosis and treatment increases transmission. Hence, the study assessed the length of delay and associated factors with tuberculosis diagnosis and treatment among adults attending public health facilities in Gondar town, Northwest Ethiopia.MethodAn institution based cross-sectional study was conducted from February to May, 2016. A total of 296 adults who came to health facilities for treatment for pulmonary TB from February to May, 2016, were included in the study. Data were collected using a structured questionnaire through interviewing and record review, cleaned, coded, and entered into Epi-info version 3.5.3, and transferred into SPSS version 20.0 for further statistical analysis. A p-value of less than 0.05 at multiple linear regression analysis was considered statistically significant.ResultThe mean duration of the total delay (in days) for tuberculosis diagnosis and initiation of treatment was 41.6 days (SD = 16.6). In this study, the mean duration of patient delay and the median health system delay were 33.9 days (SD = 14) and 5 days (IQR = 4–7), respectively. Total delay for TB diagnosis and treatment was shorter among HIV positive people (β:-12.62, 95% CI: −20.72,-4.53). Longer patient delay was noted among rural dwellers (β: 8.0, 95% CI: 5.26, 10.75); increased household income (β:-0.006, 95% CI: −0.008,-0.004) was associated with a shorter delay. Health system delay was positively associated with seeking care from more than one health care providers (β: 0.28, 95% CI: 0.23, 0.34) and seeking initial care from primary level health care facilities (β: 0.10, 95% CI: 0.07, 0.13).ConclusionIn this study, the majority of patients faced delayed in seeking health care and continued as sources of infection. Longer days of delay for TB diagnosis and treatment were noted among rural residents, who seek health care from informal care providers, and receive initial care from primary level health care facilities. In contrast, the length of delay for TB diagnosis and treatment was shorter among HIV positive people and individuals with increased household income. Therefore, public awareness on the symptoms of tuberculosis and seeking health care early is essential. Moreover, early diagnosis and treatment, especially among the rural dwellers and the poor should be focused.

Accessibility to health care of diabetic patients with acute coronary syndrome ST-segment elevation

ObjectivesTo measure accessibility to health care among diabetic patients and analyze whether differences in delay explain differences in hospital mortality. MethodsA retrospective cohort study was conducted in diabetic patients with acute coronary syndrome with ST-segment elevation included in the ARIAM-SEMICYUC registry (2010–2013). Crude and adjusted analyses were performed using unconditional logistic regression. ResultsA total of 4817 patients were analyzed, of whom 1070 (22.2%) were diabetics.No differences were found in access to health care between diabetic and non-diabetic patients. Diabetic patients presented with longer patient delay (90min vs. 75min; p=.004) and prehospital delay (150min vs. 130min; p=.002). Once the health system was contacted, diabetic patients had a lower reperfusion rate (50% vs. 57.7%; p<.001), but no longer delay in treatment was observed compared with the non-diabetic individuals. Diabetic patients have greater in-hospital mortality (12.5 vs. 6%; p<.001), though neither patient delay nor prehospital delay was identified as independent predictors of in-hospital mortality. ConclusionsDiabetic patients had a longer delay in access to health care, though such delay was not independently related to increased mortality.

Accessibility to Reperfusion Therapy Among Women with Acute Myocardial Infarction: Impact on Hospital Mortality.

The available evidence about the effect of gender and/or sex on mortality differences is contradictory. Our aim is to assess the impact of gender on the access to reperfusion therapy in patients with acute coronary syndrome with ST-segment elevation (STEMI), and secondly, to analyze the effect of delay on the differences with regard to hospital mortality. A retrospective cohort study was conducted among consecutive patients with STEMI included in the ARIAM-SEMICYUC registry (2010-2013). A total of 4816 patients were included (22.09% women). Women were older, presented with longer patient delay (90 vs. 75 minutes, p=0.0066), higher risk profile (GRACE>140: 75.1% vs. 56.05%, p<0.0001), and received less reperfusion therapy (68.8% vs. 74.7%, p<0.0001) with longer total reperfusion time (307 vs. 240 minutes, p<0.0001). Women received less thrombolysis (24.53% vs. 29.98%, p<0.0001) and longer door-to-needle time (85 vs. 70 minutes, p 0.0023). We found no differences regarding primary percutaneous coronary intervention or door-to-balloon time. Women also had higher hospital mortality (crude odds ratio 2.54, 95% confidence interval 1.99-3.26, p<0.0001), which persisted after controlling the effect of patient delay, age, risk (GRACE), and reperfusion (adjusted odds ratio 1.43, 95% confidence interval 1.0-2.06, p=0.0492). Using TIMI or Killip risk scores as risk estimates yielded nonsignificant results. Compared with men, women with STEMI have worse access to reperfusion and higher hospital mortality. The impact of the differences in accessibility on mortality gap remains uncertain.

Delays in Breast Cancer Presentation and Diagnosis at Two Rural Cancer Referral Centers in Rwanda.

Breast cancer incidence is increasing in low- and middle-income countries (LMICs). Mortality/incidence ratios in LMICs are higher than in high-income countries, likely at least in part because of delayed diagnoses leading to advanced-stage presentations. In the present study, we investigated the magnitude, impact of, and risk factors for, patient and system delays in breast cancer diagnosis in Rwanda. We interviewed patients with breast complaints at two rural Rwandan hospitals providing cancer care and reviewed their medical records to determine the diagnosis, diagnosis date, and breast cancer stage. A total of 144 patients were included in our analysis. Median total delay was 15 months, and median patient and system delays were both 5 months. In multivariate analyses, patient and system delays of ≥6 months were significantly associated with more advanced-stage disease. Adjusting for other social, demographic, and clinical characteristics, a low level of education and seeing a traditional healer first were significantly associated with a longer patient delay. Having made ≥5 health facility visits before the diagnosis was significantly associated with a longer system delay. However, being from the same district as one of the two hospitals was associated with a decreased likelihood of system delay. Patients with breast cancer in Rwanda experience long patient and system delays before diagnosis; these delays increase the likelihood of more advanced-stage presentations. Educating communities and healthcare providers about breast cancer and facilitating expedited referrals could potentially reduce delays and hence mortality from breast cancer in Rwanda and similar settings. Breast cancer rates are increasing in low- and middle-income countries, and case fatality rates are high, in part because of delayed diagnosis and treatment. This study examined the delays experienced by patients with breast cancer at two rural Rwandan cancer facilities. Both patient delays (the interval between symptom development and the patient's first presentation to a healthcare provider) and system delays (the interval between the first presentation and diagnosis) were long. The total delays were the longest reported in published studies. Longer delays were associated with more advanced-stage disease. These findings suggest that an opportunity exists to reduce breast cancer mortality in Rwanda by addressing barriers in the community and healthcare system to promote earlier detection.

Accesibilidad al sistema sanitario de los pacientes diabéticos con síndrome coronario agudo con elevación del segmento ST

ObjectivesTo measure accessibility to health care among diabetic patients and analyze whether differences in delay explain differences in hospital mortality. MethodsA retrospective cohort study was conducted in diabetic patients with acute coronary syndrome with ST-segment elevation included in the ARIAM-SEMICYUC registry (2010-2013). Crude and adjusted analyses were performed using unconditional logistic regression. ResultsA total of 4817 patients were analyzed, of whom 1070 (22.2%) were diabetics.No differences were found in access to health care between diabetic and non-diabetic patients. Diabetic patients presented with longer patient delay (90min vs. 75min; p=.004) and prehospital delay (150min vs. 130min; p=.002). Once the health system was contacted, diabetic patients had a lower reperfusion rate (50% vs. 57.7%; p<.001), but no longer delay in treatment was observed compared with the non-diabetic individuals. Diabetic patients have greater in-hospital mortality (12.5 vs. 6%; p <.001), though neither patient delay nor prehospital delay were identified as independent predictors of in-hospital mortality. ConclusionsDiabetic patients had a longer delay in access to health care, though such delay was not independently related to increased mortality.