scholarly journals Potential Overtreatment and Undertreatment of Diabetes in Different Patient Age Groups in Primary Care After the Introduction of Performance Measures

Diabetes Care ◽  
2014 ◽  
Vol 37 (5) ◽  
pp. 1312-1320 ◽  
Author(s):  
Sieta T. de Vries ◽  
Jaco Voorham ◽  
Flora M. Haaijer-Ruskamp ◽  
Petra Denig
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Lindsay Hedden ◽  
Megan A. Ahuja ◽  
M. Ruth Lavergne ◽  
Kimberlyn M. McGrail ◽  
Michael R. Law ◽  
...  

Abstract Background The retirement of a family physician can represent a challenge in accessibility and continuity of care for patients. In this population-based, longitudinal cohort study, we assess whether and how long it takes for patients to find a new majority source of primary care (MSOC) when theirs retires, and we investigate the effect of demographic and clinical characteristics on this process. Methods We used provincial health insurance records to identify the complete cohort of patients whose majority source of care left clinical practice in either 2007/2008 or 2008/2009 and then calculated the number of days between their last visit with their original MSOC and their first visit with their new one. We compared the clinical and sociodemographic characteristics of patients who did and did not find a new MSOC in the three years following their original physician’s retirement using Chi-square and Fisher’s exact test. We also used Cox proportional hazards models to determine the adjusted association between patient age, sex, socioeconomic status, location and morbidity level (measured using Johns Hopkins’ Aggregated Diagnostic Groupings), and time to finding a new primary care physician. We produce survival curves stratified by patient age, sex, income and morbidity. Results Fifty-four percent of patients found a new MSOC within the first 12 months following their physician’s retirement. Six percent of patients still had not found a new physician after 36 months. Patients who were older and had higher levels of morbidity were more likely to find a new MSOC and found one faster than younger, healthier patients. Patients located in more urban regional health authorities also took longer to find a new MSOC compared to those in rural areas. Conclusions Primary care physician retirements represent a potential threat to accessibility; patients followed in this study took more than a year on average to find a new MSOC after their physician retired. Providing programmatic support to retiring physicians and their patients, as well as addressing shortages of longitudinal primary care more broadly could help to ensure smoother retirement transitions.


2021 ◽  
Vol 10 (12) ◽  
pp. 2685
Author(s):  
Andre J. Burnham ◽  
Phillip A. Burnham ◽  
Edwin M. Horwitz

Olfactory neuroblastoma (ONB) is a rare neuroepithelial-derived malignancy that usually presents in the nasal cavity. The rarity of ONB has led to conflicting reports regarding associations of patient age and ONB survival and outcome. Moreover, long-term outcomes of chemotherapy and other treatment modalities are speculated. Here, we aimed to compare survival outcomes across age groups through time and determine associations between treatment modality and survival. In this retrospective population-based study, we analyzed the SEER 2000–2016 Database for patients with ONB tumors. Using Kaplan–Meier survival analysis, a significant effect of age and cancer-specific survival (CSS) was observed; geriatric ONB patients had the lowest CSS overall. Generalized linear models and survival analyses demonstrated that CSS of the pediatric patient population was similar to the geriatric group through 100 months but plateaued thereafter and was the highest of all age groups. Radiation and surgery were associated with increased CSS, while chemotherapy was associated with decreased CSS. GLM results showed that tumor grade, stage and lymph node involvement had no CSS associations with age or treatment modality. Our results provide insight for future investigations of long-term outcomes associated with ONB patient age and treatment modality, and we conclude that survival statistics of ONB patients should be analyzed in terms of trends through time rather than fixed in time.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Anthony Fryer ◽  
Sarah Hancock ◽  
Cherian George ◽  
Basil George Issa ◽  
Simon Lea ◽  
...  

Abstract It is estimated that the prevalence of adrenal incidentaloma increases with age: ~3% of those aged 50 years, rising to 10% in those >70 years (1). Given the aging population together with increased utilisation of cross-sectional imaging in the UK (eg CT urogram, MR angiogram), we explored the proportion of patients with adrenal incidentaloma by age based on current imaging trends. Furthermore, there is no information currently available on the relationship between age and pattern of endocrine referrals. We extracted data for all CT and MRI scans from Jan 2018-Oct 2019 and used key phrases in radiology reports (eg adrenal adenoma/lesion/mass/nodule/incidentaloma, incidental adrenal, indeterminate adrenal) to identify potential lesions. We also extracted data on patient age and referral patterns as identified by a logged referral or an attendance (new or follow-up) to endocrine clinic 3 months post index scan, stratified by 10 year age groups. Where possible, we excluded false hits (eg no adrenal lesion). Preliminary data showed that, of the 2604 potential lesions identified by CT and MRI scans, 78.7% were on patients aged over 60 years. The numbers of identified lesions gradually increased with age to a peak in the 71-80 year age group after which these declined. Whilst patients younger that 60 years had fewer potential lesions identified, they were more likely to be referred to endocrine services (73 out of 55 patients; 13.2%) than those in the older age group (168 out of 2049; 8.2%; p<0.001). Indeed there was a statistically significant trend towards decreasing referral with age group (Chi-squared test for trend; p<0.001). In conclusion, patients over 60 years have a higher number of potential adrenal incidentalomas. However, this group is less likely to be referred for endocrine evaluation. This is particularly concerning given the large number of scans requested and the higher prevalence of incidentalomas in this age group. This study represents preparatory work on innovations to enhance case detection, particularly in the older age groups (2). 1. Fassnacht M, Arlt W, Bancos I, et al. Management of adrenal incidentalomas: European Society of Endocrinology Clinical Practice Guideline. Eur J Endocrinol. 2016;175:G1-G34 2. Hanna FWF, Issa BG, Lea SC, George C, Golash A, Firn M, Ogunmekan S, Maddock E, Sim J, Xydopoulos G, Fordham R, Fryer AA. Adrenal lesions found incidentally: how to improve clinical and cost-effectiveness. BMJ Open Quality. 2019;In press.


Author(s):  
Babak Alikhani ◽  
Bennet Hensen ◽  
Arne Grosser ◽  
Maria Inés Cartes Febrero ◽  
Markus von Bestenbostel ◽  
...  

Purpose To assess digital patient briefing as an alternative to conventional paper documentation. Materials and Methods 502 patients with a planned computed tomography (CT) examination were selected for digital patient briefing using the E-ConsentPro software from Thieme Compliance on an iPad by Apple (Cupertino, California, USA). For the analysis, three age groups were formed. The time required for the patient briefing, the number of open questions as well as the time needed for discussion with physicians were determined. Student’s t-test was performed to assess statistical significance. Results There was no significant difference between patient age and briefing time which was about 20 minutes on average. The number of open or unclear questions increased with patient age. While patients younger than 30 years of age had about 2 open questions, patients over 30 and 60 years had about 4 and 5 questions, respectively. The total time needed for discussion with physicians was less than 2 minutes on average. A significant difference in the time required for discussion with physicians could not be observed between the individual age groups. Conclusion Tablet-based digital briefing allows the storage of patient documents with reasonable time and effort. Furthermore, it minimizes the risk of data loss. Key Points  Citation Format


2004 ◽  
Vol 54 (6) ◽  
pp. 1116-1121 ◽  
Author(s):  
Annemiek E. Akkerman ◽  
Johannes C. van der Wouden ◽  
Marijke M. Kuyvenhoven ◽  
Jeanne P. Dieleman ◽  
Theo J. M. Verheij

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 2531-2531 ◽  
Author(s):  
Friederike Schneider ◽  
Eva Hoster ◽  
Michael Unterhalt ◽  
Stephanie Schneider ◽  
Annika Dufour ◽  
...  

Abstract Background: Long-term survival in NK-AML is influenced by different clinical and molecular markers. Whereas the presence of a NPM-1 mutation is associated with a positive prognostic effect on long-term outcome, the presence of a FLT3-ITD mutation has a negative impact on survival. Interestingly, a significant interaction between NPM-1 and FLT3-ITD mutations has been shown. The positive prognostic impact on clinical outcome was evident predominantly in patients with NK-AML carrying NPM1 gene mutations when FLT3-internal tandem duplications (ITD) were absent. In contrast, the survival in all other groups of NPM-1 and FLT3-ITD combinations was not different so far. A clinical parameter with negative impact on all outcome parameters (OS, EFS, RFS, CR) is patient age at diagnosis. Certainly the worse prognosis in elderly patients is due to adverse patient characteristics and comorbidities. Nevertheless also disease-associated parameters reveal differences between older and younger patients with AML. Therefore we investigated the frequencies of NPM-1/FLT3-ITD mutations in different age groups. Patients and methods: Analyses were based on 803 patients with NK-AML included in the AMLCG (German AML Cooperative Group) 2000 trial until 01/2006. Patient age ranged from 17 to 85 years (median: 60 yrs). Information about the mutation status of NPM-1 and FLT3-ITD mutations at diagnosis was available in 689 patients. Patients were divided into six age groups (1: 17–30yrs; 2: 31–40yrs; 3: 41–50yrs; 4: 51–60yrs; 5: 61–70yrs; 6: 71–85yrs). The incidence of the molecular markers NPM-1 and FLT3-ITD as well as the four NPM-1 and FLT3-ITD combinations were calculated in cross tables (Pearson’s Chi Square test) in the different age groups. Results: In 689 patients with available mutations status we found a significant decrease in the frequency of the two molecular markers with higher age. Whereas the incidence of NPM-1 mutation decreased abruptly in patients >60 yrs [Group 1: 18/28 (64.3%), 2: 35/59 (59.3%), 3: 70/114 (61.4%), 4: 84/143 (58.7%), 5: 98/234 (41.9%), 6: 46/111 (41.4%); p<0.0001], the incidence of a FLT3-ITD decreased continuously with increasing age [Group 1: 14/28 (50.0%), 2: 21/59 (35.6%), 3: 36/114 (31.6%), 4: 47/143 (32.9%), 5: 60/234 (25.6%), 6: 22/111 (19.8%); p=0.013)]. Combining both markers we found a significant relative increase of NPM-1−/FLT3-ITD− patients (p<0.0001) with a sharp cut at 60 years whereas the NPM-1+/FLT3-ITD+ group diminished continuously (p=0.020). The proportion of the positive prognostic group of NPM-1+/FLT3-ITD− patients showed an increase between 40–60 years and a decrease afterwards (p=0.024) (see table 1 and figure 1). Conclusions: Our data show in a large cohort of 689 patients with NK-AML that the presence of mutations of the molecular markers NPM-1 and FLT3-ITD significantly decreases with age. Consequently the proportion of NPM-1−/FLT3-ITD− patients increases over time. This observation sheds light on the disease biology in older patients with AML. Table 1: Distribution of the NPM-1, FLT3-ITD and the 4 NPM-1/FLT3-ITD subgroups in different age groups age groups NPM-1 + % FLT3-ITD+ (%) NPM-1−/FLT3-ITD−(%) NPM-1+/FLT3-ITD+ (%) NPM-1−/FLT3-ITD+ (%) NPM-1+/FLT3-ITD− (%) 17–30 64.3 50.0 25.0 39.3 10.7 25.0 31–40 59.3 35.6 30.5 25.4 10.2 33.9 41–50 61.4 31.6 28.9 21.9 9.6 39.5 51–60 58.7 32.9 31.5 23.1 9.8 35.7 61–70 41.9 25.6 51.3 18.8 6.8 23.1 71–85 41 4 19.8 50.5 11.7 8.1 29.7 all age groups (%) 50.9 29.0 40.5 20.5 8.5 30.5 p-value < 0.0001*** 0.013* < 0.0001*** 0.020* 0.886 0.024* Figure 1: Proportions of the four NPM-1/FLT3-ITD subgroups in different age groups Figure 1:. Proportions of the four NPM-1/FLT3-ITD subgroups in different age groups


1990 ◽  
Vol 2 (2) ◽  
pp. 261-281 ◽  
Author(s):  
William Finlay ◽  
Elizabeth J. Mutran ◽  
Rodney R. Zeitler ◽  
Christina S. Randall

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