Delay and completion of treatment in head and neck cancer patients employing a multidisciplinary team approach: A single institution experience

Objective@#To explore possible associations of a multidisciplinary team approach compared to a non-multidisciplinary team approach on delay and completion of treatment of head and neck cancer patients.@*Methods@#Design: Historical Cohort Study Setting: Tertiary Private Training Hospital Participants: A total of 240 records of head and neck cancer patients from January 2016 and December 2018 were included in the study; 117 underwent a multidisciplinary team approach and 123 underwent a non- multidisciplinary team approach.@*Results@#Only 24.79% of head and neck cancer patients under the multidisciplinary team approach had treatment delays compared to 37.40% under the non-multidisciplinary team approach. The proportion of treatment delays was significantly higher (χ2 = 4.44, p = .035) with the non-multidisciplinary team approach. Comparative treatment completion of 77.78% and 69.11% under the multidisciplinary and non-multidisciplinary team approaches, respectively, were not significantly different (χ2 = 2.31, p = .129). @*Conclusion@#The multidisciplinary approach might be associated with decreased delay in treatment among patients with head and neck cancer compared to the non-multidisciplinary team approach. A possible trend toward better treatment completion rate was also observed, but it did not reach statistical significance.

The Effect of Regular Family Appointments on Hope of Hospitalized Depressed Patients: a Randomized Clinical Trial.

Introduction: Depression is one of the most common psychological disorders in the world. Many depressed patients are being hospitalized in psychiatric centers every year, which can lead to hopelessness and indifference. Considering the role of family as a support system in caring for depressed patients, the goal of the present study is to assess the effects of regular family appointments on the hope of hospitalized depressed patients. Methods: This was a randomized clinical trial on 70 hospitalized depressed patients in the Baharan psychiatric hospital of Zahedan. Block Randomization was used to categorize the participants continuously into two groups intervention (n=35) and control groups (n=35). The data collection tools were demographic characteristics questionnaire and Schneider hope scale. The patients in the interventions group received 6 sessions of regular family appointments with first- degree relatives. The control group received freely and without any planning appointments. Hope level was measured and compared before and after the intervention for two groups. The data were analyzed by SPSS using the chi-square test, the independent t-test and the paired t-test. Results: The results showed that both groups were homogeneous in terms of socio- demographic differences. The hope scores of patients in the intervention group significantly increased compared to those of the control group. Conclusion: Encouraging family cooperation and using patient's choice in selecting visitors is recommended.

Does an increase in visits to general practice indicate a malignancy?

BACKGROUND: An increase in a patient's visits to doctors usually raises concerns and may be a 'red flag' for a patient's deterioration of health. The aim of this study was to analyze whether an increase of patient-physician contacts is a first sign of a malignancy in a patient's near future. METHODS: This is a retrospective case-control study. From 153 German general practices' electronic patient records (EPR), cases with at least one new malignancy diagnosis and no-malignancy controls were matched for gender and age. We calculated (1) the number of contacts in the first quarter up to the sixth quarter before a malignancy diagnosis was made and (2) the inter-contact interval (ICI), i.e. the time lag between two consecutive patient-physician contacts measured in days. Differences between cases and controls were investigated in several analyses of variance, with group and time as main factors. RESULTS: A total of 3,310 cases and 3,310 controls could be included. The number of contacts for cases in the six quarters before a malignancy diagnosis increased from 4.8 contacts (SD 4.3) to 5.5 contacts (SD 4.8). The number of contacts for controls increased only marginally from 4.3 contacts (SD 3.6) to 4.5 (SD 4.2). The factor 'group' (cases vs. controls) was highly significant in the analyses of variance, also 'time' and the interaction 'group * time'. The effect size, however, was very small (R(2) being less than 0.02), which is the equivalent for about one additional contact per quarter in cases directly before a newly made malignancy diagnosis. CONCLUSION: An increase in contact frequency is a call for GPs to become more attentive towards these patients. It may raise the suspicion of an impending serious disease but the increase is not so dramatic and unique that it can be interpreted a reliable sign of a malignant diagnosis.

Waiting time at a fast-track diagnostic clinic.

Purpose - Guidelines stating maximum waiting times fail to take cancer patients' expectations into account. Therefore, the purpose of this paper is to assess patients' expectations and experiences with their waiting time at a fast-track clinic. Design/methodology/approach - Patients were selected using a purposeful sampling strategy and were interviewed four times: before the visit; one day after; two weeks after the visit; and one week after starting treatment. Interviews were audiotaped and independently coded by two researchers. Findings - All patients (n=9) preferred a short waiting time before the first visit; they feared that their disease would spread and believed that cancer warrants priority treatment. Six patients experienced the waiting time as short, one had no expectations and two felt they waited longer than expected; three patients changed this evaluation during the study. Six patients received treatment - four preferred to wait before treatment and two wanted to start treatment immediately. Reasons to wait included putting one's affairs in order, or needing to adjust to the diagnosis. Practical implications - Cancer patients prefer a short waiting time before the first visit but have different expectations and needs regarding waiting time before treatment. Ideally, their expectations are managed by their treating physician to match waiting time reality. Originality/value - This is the first study to assess cancer patients' waiting time experiences and how these experiences change over time. This study paves the way for establishing a framework to better assess patient satisfaction with oncology care waiting time. An important aspect, is managing patients' expectations.

[Can a mobile phone short message increase participation in breast cancer screening programmes?]. / ¿Puede un mensaje de teléfono móvil incrementar la participación en programas de cribado poblacional de cáncer de mama?

OBJECTIVE: To evaluate the impact of a mobile phone short message on women's uptake in a breast cancer screening programme. METHODS: A total of 703 women from a Basic Health Area of Barcelona, and with a mobile phone number registered, were invited to participate in a breast cancer screening programme between 25 January 2011 and 22 March 2011. The control group (n=470) followed the usual appointment track, and the intervention group (n=233) received, after the first letter of invitation, a mobile phone short message reminder. The differences between the two groups were analysed, comparing the uptake rates according to age, educational level, and participation in previous round, as well as the number of re-invitation calls to non-attenders according to uptake, age and level of education;and the percentages of exclusions of both groups. RESULTS: The intervention group had a greater uptake than the control group (78.1% vs. 72.3%), with a significant trend observed in the 55-59 years age group (P=.036) and the low secondary educational level (P=.014).The intervention group mean of re-invitation calls of non-attenders lower than the control group (.41 vs. .65, P<.05), a pattern observed in all the categories of the independent variables, and among younger age groups, lower and middle educational levels, and previously participating women (.09 vs. .19, P=.012). CONCLUSIONS: The inclusion of a mobile phone short message in a breast cancer screening programme may increase uptake rates and lead to a management improvement.

Analysis of patient factors impacting duration of periodontal maintenance appointments: an exploratory study.

PURPOSE: The periodontal maintenance (PM) appointment requires varying amounts of time and is absolutely essential for long-term successful periodontal therapy. This study assessed time requirements for PM and relative contribution of patient-level factors such as oral health status, complex medical history, maintenance compliance and demographics. METHODS: One hundred patients receiving PM in a graduate periodontal program at a dental school participated in this cross sectional, observational study and components of their PM were timed in minutes/seconds. Descriptive data were obtained for average total-time required for PM and relative time for each treatment component. Hierarchical multiple linear regression determined what patient-level factors demonstrated the greatest impact on total-time to complete PM. RESULTS: The average PM appointment interval, with radiographs, was 1 hour, 16 minutes, 23 seconds (SD 19:25 minutes). When cubicle preparation and disinfection was included, the total-time was 1 hour, 24 minutes, 31 seconds (±19:32 minutes). Multiple regression showed that BOP, dentist examinations, number of carious lesions and/or restorative defects, number of teeth/implants, taking radiographs, female gender and deposit aggregate (supragingival and subgingival calculus and stain) were significant predictors of total PM duration and explained 57% variance (p<0.05, R2=0.569). CONCLUSION: Based on the average comprehensive PM appointment time of 1:16 minutes, the typical appointment of 60 minutes is insufficient to achieve the goals of a comprehensive PM in this academic clinic setting. These findings suggest the need to utilize more customized models for scheduling PM in order to achieve time allocations that are individualized to address specific patients' needs.