Corrigendum to “Impact of initial medication non-adherence to SSRIs on medical visits and sick leaves” [J Affect Disord. 2018 Jan 15;226:282–286]

2020 ◽  
Vol 261 ◽  
pp. 110
Author(s):  
Ignacio Aznar-Lou ◽  
María Iglesias-González ◽  
Montserrat Gil-Girbau ◽  
Antoni Serrano-Blanco ◽  
Ana Fernández ◽  
...  
2018 ◽  
Vol 226 ◽  
pp. 282-286 ◽  
Author(s):  
Ignacio Aznar-Lou ◽  
María Iglesias-González ◽  
Montserrat Gil-Girbau ◽  
Antoni Serrano-Blanco ◽  
Ana Fernández ◽  
...  

2018 ◽  
Vol 14 (2) ◽  
pp. 97-107 ◽  
Author(s):  
Staci Defibaugh

Small talk in medical visits has received ample attention; however, small talk that occurs at the close of a medical visit has not been explored. Small talk, with its focus on relational work, is an important aspect of medical care, particularly so considering the current focus in the US on the patient-centered approach and the desire to construct positive provider– patient relationships, which have been shown to contribute to higher patient satisfaction and better health outcomes. Therefore, even small talk that is unrelated to the transactional aspect of the medical visit in fact serves an important function. In this article, I analyze small talk exchanges between nurse practitioners (NPs) and their patients which occur after the transactional work of the visit is completed. I focus on two exchanges which highlight different interactional goals. I argue that these examples illustrate a willingness on the part of all participants to extend the visit solely for the purpose of constructing positive provider–patient relationships. Furthermore, because exchanges occur after the ‘work’ of the visit has been completed, they have the potential to construct positive relationships that extend beyond the individual visit.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1425.1-1425
Author(s):  
P. Herrera-Sandate ◽  
G. Figueroa-Parra ◽  
D. Vega-Morales ◽  
J. A. Esquivel Valerio ◽  
B. R. Vázquez Fuentes ◽  
...  

Background:Early referral of patients with suspicion of progression to rheumatoid arthritis (RA) is of paramount importance in disease prognosis. We had previously described a time delay of 28 months between symptom onset and evaluation by a rheumatologist, and a mean wait time of 9.5 weeks for referral to a secondary-level public hospital (1). The availability of specialized interdisciplinary evaluation of patients in a third-level of care raises the possibility of shortening this time gap, as well as describing patient and physician decisions amidst the referral to a Rheumatology center.Objectives:Describe the diagnosis profile of patients with hand arthralgia and time of referral to Rheumatology in a Family Medicine clinic.Methods:A cohort study was conducted in 110 patients from October 2018 to December 2020 in a Family Medicine clinic within the tertiary-care University Hospital “Dr. Jose Eleuterio Gonzalez” in Monterrey, Mexico. Patients with hand arthralgia as their chief complaint were recruited. An observational, descriptive compilation of patient history was retrieved prospectively through medical records. Variables included time of inclusion, number of medical visits until referral and definitive diagnosis. Descriptive statistics, Kaplan-Meier curves and log-rank tests were used to test the association between time of diagnosis and clinical variables of interest.Results:Assessed variables are shown in Table 1. Out of 110 patients with hand arthralgia, a quarter received a final diagnosis within 3 medical visits. Less than half of patients were referred, and only a third attended the referral indication. It takes 39.3 days from the first medical visit to be referred, and 69 days and 2.89 consultations to receive a definitive diagnosis. Around half of patients will have a definitive diagnosis, osteoarthritis being the most common. The log-rank test for categoric variables including a positive squeeze test or ≥4 criteria of clinically suspect arthralgia did not show a significant association for time of referral and definitive diagnosis (data not shown).Table 1.Diagnostic and referral characteristics of patients with hand arthralgia attending a Family medicine clinicPatients recruited in a Family Medicine clinicn = 110Female, n (%)90 (81.8)Age in years, mean ± SD49.69 ± 14.90RF, ACPA, or hand radiography request, n (%)100 (90.9)Diagnosis in Family MedicineDiagnosed patients after 1 medical visit, cumulative n (%)5 (4.6)Diagnosed patients after 2 medical visits, cumulative n (%)22 (20.0)Diagnosed patients after 3 medical visits, cumulative n (%)26 (23.6)Referral to Rheumatology for diagnostic doubt or clinical follow-upPatients referred to a Rheumatology clinic, n (%)49 (44.5)Patients attending Rheumatology referral, n (%)34 (30.9)Time for referral, days ± SD39.37 ± 38.64Global definitive diagnosisPatients with a definitive diagnosis, n (%)51 (46.4)Osteoarthritis diagnosis, n (%)23 (20.9)Rheumatoid arthritis diagnosis, n (%)13 (11.8)Overlap syndrome diagnosis, n (%)5 (4.5)Time for definitive diagnosis, days ± SD68.96 ± 106.57Number of consultations for definitive diagnosis, mean ± SD2.86 ± 1.05RF, rheumatoid factor; ACPA, anticitrullinated protein antibodies; SD, standard deviation.Conclusion:Patients with hand arthralgia evaluated in a tertiary-care Rheumatology center receive a timely referral in one month and a definitive diagnosis after 3 medical visits in around two months.References:[1]Vega-Morales, D., Covarrubias-Castañeda, Y., Arana-Guajardo, A. C., & Esquivel-Valerio, J. A. (2016). Time Delay to Rheumatology Consultation: Rheumatoid Arthritis Diagnostic Concordance Between Primary Care Physician and Rheumatologist. American journal of medical quality: the official journal of the American College of Medical Quality, 31(6), 603.Graphs:Disclosure of Interests:None declared


1988 ◽  
Vol 53 (3) ◽  
pp. 245-251 ◽  
Author(s):  
Ina F. Wallace ◽  
Judith S. Gravel ◽  
Cecelia M. McCarton ◽  
Robert J. Ruben

The effect of otitis media on emerging language was examined in a group of 1-year-olds. Based on pneumatic otoscopy, 15 babies were considered to be free of otitis media in both ears at 80% or more of their first year medical visits (otitis free) and 12 infants had bilaterally positive otoscopy results at 30% or more of their visits (otitis positive). Outcome measures at 1 year included the Bayley Scales of Infant Development (Bayley, 1969) and the Sequenced Inventory of Communication Development (SICD; Hedrick, Prather, & Tobin, 1984) Receptive and Expressive scales. No significant differences were detected on either the Bayley or the SICD Receptive scale. However, the otitis positive group exhibited significantly lower expressive language scores than the otitis free group, suggesting that impairments in language expression may be evident as early as 1 year of age in children with otitis media.


2020 ◽  
Vol 4 (s1) ◽  
pp. 31-31
Author(s):  
Elizabeth Kobe ◽  
Cynthia J. Coffman ◽  
Amy S. Jeffreys ◽  
William S. Yancy ◽  
Jennifer Zervakis ◽  
...  

OBJECTIVES/GOALS: The impact of baseline BMI on glycemic response to group medical visits (GMV) and weight management (WM)-based interventions is unclear. Our objective is to determine how baseline BMI class impacts patient responses to GMV and interventions that combine WM/GMV. METHODS/STUDY POPULATION: We will perform a secondary analysis of Jump Start, a randomized, controlled trial that compared the effectiveness of a GMV-based low carbohydrate diet-focused WM program (WM/GMV) to traditional GMV-based medication management (GMV) on diabetes control. The primary and secondary outcomes will be change in hemoglobin A1c (HbA1c) and weight at 48 months, respectively. Study participants will be stratified into BMI categories defined by BMI 27-29.9kg/m2, 30.0-34.9kg/m2, 35.0-39.9kg/m2, and ≥40.0kg/m2. Hierarchical mixed models will be used to examine the differential impact of the WM/GMV intervention compared to GMV on changes in outcomes by BMI class category. RESULTS/ANTICIPATED RESULTS: Jump Start enrolled 263 overweight Veterans (BMI ≥ 27kg/m2) with type 2 diabetes. At baseline, mean BMI was 35.3 and mean HbA1c was 9.1. 14.5% were overweight (BMI 27–29.9) and 84.5% were obese (BMI ≥ 30). The proposed analyses are ongoing. We anticipate that patients in the higher BMI obesity classes will demonstrate greater reductions in HbA1c and weight with the WM/GMV intervention relative to traditional GMV. DISCUSSION/SIGNIFICANCE OF IMPACT: This work will advance the understanding of the relationship between BMI and glycemic response to targeted interventions, and may ultimately provide guidance for interventions for type 2 diabetes.


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