Measure of Processes of Care for Adults

2010 ◽  
Author(s):  
Elena L. Bamm ◽  
Peter Rosenbaum ◽  
Paul Stratford
Keyword(s):  
Processes Of Care

Interpersonal Processes of Care Survey

2007 ◽  
Author(s):  
Anita L. Stewart ◽  
Anna M. Nápoles-Springer ◽  
Steven E. Gregorich ◽  
Jasmine Santoyo-Olsson
Keyword(s):  
Interpersonal Processes ◽  
Processes Of Care ◽  
Care Survey

Measure of Processes of Care for Adults--Finnish Version

2018 ◽  
Author(s):  
Ira Jeglinsky ◽  
Maarit Karhula ◽  
Anna-Liisa Salminen ◽  
Timo Törmäkangas
Keyword(s):  
Processes Of Care

scholarly journals A preliminary assessment of guideline adherence and clinical variation in oral cancer treatment: a MarketScan database study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Antoine Eskander ◽  
Axel Sahovaler ◽  
Jennifer Shin ◽  
Konrado Deutsch ◽  
Matthew Crowson ◽  
...  
Keyword(s):  
Oral Cavity ◽  
Radiation Treatment ◽  
Tube Placement ◽  
Adjuvant Chemoradiotherapy ◽  
Research Database ◽  
Chest Imaging ◽  
Geographical Differences ◽  
Processes Of Care ◽  
North East ◽  
Multidisciplinary Consultation

Abstract Background To assess variations in adherence to guideline-recommended processes of care for oral cavity cancer patients. Methods Retrospective study using a U.S. healthcare research database (MarketScan). Index diagnoses were considered from 2010 to 2012 with follow-up from 2013 to 2014. Diagnostic and procedure codes were utilized to identify oral cavity patients with a defined treatment modality. Compliance with guideline-recommended processes of care, which included pre-treatment imaging, thyroid-function testing (TFTs), multidisciplinary consultation and gastrostomy-tube insertion rates, were assessed. Results A total of 2752 patients were identified. Surgery alone was the most common treatment (60.8%), followed by surgery with adjuvant chemoradiotherapy (20.4%) and surgery with adjuvant radiotherapy (18.8%). Head/neck and chest imaging were obtained in 60% and 62.5% of patients respectively. Significant geographical differences in head and neck imaging were observed between North-central (64%), South (58.4%) and West (56.1%) regions (p = 0.026). Differences in chest imaging were also present between North-east (65%) and West (56.8%; p = 0.007). TFTs were obtained in 54.4% of the patients after radiation treatment, and 18.6% of patients had multidisciplinary consultation during the 6 months before and 3 months after initiation of treatment. During the year after treatment initiation, 21.2% of patients underwent G-tube placement, with significantly higher rates in patients receiving triple modality treatment (58%) when compared to surgery plus radiation (27%) and surgery alone (15%; p < 0.01). Conclusion Adherence to evidence-based practices was low based on the database coding. These data suggest a potential to improve adherence and increase the routine use of practices delineated in national clinical practice guidelines. Clinical relevance This study reflects a suboptimal adherence to guidelines based on the database employed. This study should be considered by healthcare providers and efforts should be maximized to follow the processes of care which have proven to impact on patient's outcomes.

scholarly journals The contribution of case mix, skill mix and care processes to the outcomes of community hospitals

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Lenzi ◽  
K Y C Adja ◽  
D Pianori ◽  
C Reno ◽  
M P Fantini
Keyword(s):  
Older People ◽  
Unmet Needs ◽  
Working Hours ◽  
Case Mix ◽  
Community Hospitals ◽  
Organizational Models ◽  
Skill Mix ◽  
Processes Of Care ◽  
Hospital Variation ◽  
Care Processes

Abstract Background The rapid increase in the proportion of older people underscores the need for new organizational models to face the unmet needs of frail patients with multiple conditions. Community hospitals (CHs) could be a solution to tackle these needs and foster integration between acute and primary care. The aim of this study was to investigate which patients' characteristics and which care processes affect clinical outcomes, in order to identify who could benefit the most from CH care and the best skill mix to deliver in this setting of care. Methods This study included all patients aged ≥65 and discharged in 2017 from the 16 CHs of Emilia-Romagna, northern Italy. Data sources were the regional CH informative system and hospital discharge records. CH skill mix and processes of care were collected with a survey; 3 non-respondent CHs were excluded. The study outcome was in-hospital variation of the Barthel index (BI) (≥10 vs. &lt;10). We performed a 2-level random-intercept logistic regression analysis, and used the variance partition coefficient (VPC) to quantify the proportion of BI improvement that lay at CH level. Results Of the 13 CHs, 7 admitted ≥150 patients, 8 had a general practitioner medical support model, and 6 had &gt;12 nurses' working hours/week/bed. Overall, 53% of the patients had a BI improvement ≥10 (4% to 71% across CHs). The patient case mix (i.e. baseline BI, female, older age, transfer from acute care) explained a portion of variability across CHs, as shown by the VPC that decreased from 0.32 to 0.26. Skill mix and processes of care were not associated with BI change, and the VPC resulting from controlling for these variables was virtually unchanged (0.28). Conclusions Patients' characteristics explained part of between-CH variation in BI improvement. Professional skill mix and processes of care, albeit fundamental to achieve appropriate care and respond to the unmet needs of the frail elderly, did not account for differences in CH-specific outcomes. Key messages A combination of quantitative and qualitative methods might better explain the outcome variability across intermediate care services. Multidisciplinary CH teams and services can be helpful to address the unmet needs of older people, but further studies are necessary.

Feasibility and psychometric properties of the Finnish version of the measure of processes of care for adults

2018 ◽  
pp. 026921551878433
Author(s):  
Ira Jeglinsky ◽  
Maarit Karhula ◽  
Anna-Liisa Salminen ◽  
Timo Törmäkangas
Keyword(s):  
Psychometric Properties ◽  
Processes Of Care

scholarly journals Relationship between housing insecurity, diabetes processes of care, and self-care behaviors

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Elise Mosley-Johnson ◽  
Rebekah J. Walker ◽  
Madhuli Thakkar ◽  
Jennifer A. Campbell ◽  
Laura Hawks ◽  
...  
Keyword(s):  
Employment Status ◽  
Self Care ◽  
Logistic Models ◽  
Cross Sectional Study ◽  
Behavioral Risk ◽  
Cross Sectional ◽  
Processes Of Care ◽  
Flu Vaccine ◽  
Race Ethnicity ◽  
The Impact

Abstract Background The aim of this analysis was to examine the influence of housing insecurity on diabetes processes of care and self-care behaviors and determine if that relationship varied by employment status or race/ethnicity. Methods Using nationally representative data from the Behavioral Risk Factor Surveillance System (2014-2015), 16,091 individuals were analyzed for the cross-sectional study. Housing insecurity was defined as how often respondents reported being worried or stressed about having enough money to pay rent/mortgage. Following unadjusted logistic models testing interactions between housing insecurity and either employment or race/ethnicity on diabetes processes of care and self-care behaviors, stratified models were adjusted for demographics, socioeconomic status, health insurance status, and comorbidity count. Results 38.1% of adults with diabetes reported housing insecurity. Those reporting housing insecurity who were employed were less likely to have a physicians visit (0.58, 95%CI 0.37,0.92), A1c check (0.45, 95%CI 0.26,0.78), and eye exam (0.61, 95%CI 0.44,0.83), while unemployed individuals were less likely to have a flu vaccine (0.84, 95%CI 0.70,0.99). Housing insecure White adults were less likely to receive an eye exam (0.67, 95%CI 0.54,0.83), flu vaccine (0.84, 95%CI 0.71,0.99) or engage in physical activity (0.82, 95%CI 0.69,0.96), while housing insecure Non-Hispanic Black adults were less likely to have a physicians visit (0.56, 95%CI 0.32,0.99). Conclusions Housing insecurity had an influence on diabetes processes of care and self-care behaviors, and this relationship varied by employment status and race/ethnicity. Diabetes interventions should incorporate discussion surrounding housing insecurity and consider differences in the impact by demographic factors on diabetes care.

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