scholarly journals PAA8 THE EFFECT OF HAVING A PRIMARY CARE PROVIDER ON ASTHMA HEALTH CARE EXPENDITURE AND HEALTH CARE UTILIZATION

2004 ◽  
Vol 7 (3) ◽  
pp. 311
Author(s):  
T Nurmagambetov ◽  
A Atherly ◽  
S Williams ◽  
S Redd
PEDIATRICS ◽  
1991 ◽  
Vol 88 (3) ◽  
pp. 444-449
Author(s):  
Janet R. Serwint ◽  
Modena H. Wilson ◽  
Anne K. Duggan ◽  
E. David Mellits ◽  
Rosemary A. Baumgardner ◽  
...  

A prospective, randomized, clinical trial was conducted to investigate whether a postpartum visit between a mother and her neonate's future primary care provider combined with telephone access would improve health care utilization, enhance identification of the provider as a source of advice, increase maternal knowledge of infant care, and decrease maternal anxiety and depression. Of 251 mother-neonate pairs, 122 were randomized to the control group and 129 to the intervention group. Outcome variables included health care utilization and results of maternal interviews. More mothers in the intervention group made a scheduled clinic visit in the first 30 days (P = .003), were more likely to seek some form of care at the clinic (P = .006), and tried to reach their physician by phone more often than the control group (P <.001). There were no differences between the groups' emergency room utilization, the percent who received immunizations by 90 days of age, maternal knowledge of infant care, maternal anxiety, or postpartum depression. The intervention succeeded in improving some measures of health care utilization and results suggest that the relationship between the mother and clinician was strengthened.


2012 ◽  
Vol 2012 ◽  
pp. 1-4 ◽  
Author(s):  
Travis Austin ◽  
Daniel E. Brooks ◽  
Sharyn Welch ◽  
Frank LoVecchio

Poison control centers hold great potential for saving health care resources particularly by preventing unnecessary medical utilization. We developed a four-question survey with three poisoning-related scenarios, based on common calls to our poison center, and one question regarding after-hours calls. We identified primary care provider offices in our poison center's region from an internet search. We contacted these offices via telephone and asked to speak to an office manager or someone responsible for triaging patient phone queries. Using a scripted form, trained investigators questioned 100 consecutive primary care provider offices on how they would handle these poisoning-related calls if there was no poison center to refer their patients to. Results of our survey suggest that 82.5% of poisoning-related calls to primary care offices would be referred to 911 or an emergency department if there was no poison center. These results further support the role that poison centers play in patient care and health care utilization.


2021 ◽  
Vol 12 ◽  
pp. 215013272110002
Author(s):  
Tarika Srinivasan ◽  
Erica J. Sutton ◽  
Annika T. Beck ◽  
Idali Cuellar ◽  
Valentina Hernandez ◽  
...  

Introduction: Minority communities have had limited access to advances in genomic medicine. Mayo Clinic and Mountain Park Health Center, a Federally Qualified Health Center in Phoenix, Arizona, partnered to assess the feasibility of offering genomic screening to Latino patients receiving care at a community-based health center. We examined primary care provider (PCP) experiences reporting genomic screening results and integrating those results into patient care. Methods: We conducted open-ended, semi-structured interviews with PCPs and other members of the health care team charged with supporting patients who received positive genomic screening results. Interviews were recorded, transcribed, and analyzed thematically. Results: Of the 500 patients who pursued genomic screening, 10 received results indicating a genetic variant that warranted clinical management. PCPs felt genomic screening was valuable to patients and their families, and that genomic research should strive to include underrepresented minorities. Providers identified multiple challenges integrating genomic sequencing into patient care, including difficulties maintaining patient contact over time; arranging follow-up medical care; and managing results in an environment with limited genetics expertise. Providers also reflected on the ethics of offering genomic sequencing to patients who may not be able to pursue diagnostic testing or follow-up care due to financial constraints. Conclusions: Our results highlight the potential benefits and challenges of bringing advances in precision medicine to community-based health centers serving under-resourced populations. By proactively considering patient support needs, and identifying financial assistance programs and patient-referral mechanisms to support patients who may need specialized medical care, PCPs and other health care providers can help to ensure that precision medicine lives up to its full potential as a tool for improving patient care.


2008 ◽  
Vol 21 (1) ◽  
pp. 75-82 ◽  
Author(s):  
Melissa A. Polusny ◽  
Barry J. Ries ◽  
Jessica R. Schultz ◽  
Patrick Calhoun ◽  
Lisa Clemensen ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
E. Rydwik ◽  
R. Lindqvist ◽  
C. Willers ◽  
L. Carlsson ◽  
G. H. Nilsson ◽  
...  

Abstract Background This study is the first part of a register-based research program with the overall aim to increase the knowledge of the health status among geriatric patients and to identify risk factors for readmission in this population. The aim of this study was two-fold: 1) to evaluate the validity of the study cohorts in terms of health care utilization in relation to regional cohorts; 2) to describe the study cohorts in terms of health status and health care utilization after discharge. Methods The project consist of two cohorts with data from patient records of geriatric in-hospital stays, health care utilization data from Stockholm Regional Healthcare Data Warehouse 6 months after discharge, socioeconomic data from Statistics Sweden. The 2012 cohort include 6710 patients and the 2016 cohort, 8091 patients; 64% are women, mean age is 84 (SD 8). Results Mean days to first visit in primary care was 12 (23) and 10 (19) in the 2012 and 2016 cohort, respectively. Readmissions to hospital was 38% in 2012 and 39% in 2016. The validity of the study cohorts was evaluated by comparing them with regional cohorts. The study cohorts were comparable in most cases but there were some significant differences between the study cohorts and the regional cohorts, especially regarding amount and type of primary care. Conclusion The study cohorts seem valid in terms of health care utilization compared to the regional cohorts regarding hospital care, but less so regarding primary care. This will be considered in the analyses and when interpreting data in future studies based on these study cohorts. Future studies will explore factors associated with health status and re-admissions in a population with multi-morbidity and disability.


2022 ◽  
Vol 2 (1) ◽  
pp. es0358
Author(s):  
Daphne Hui ◽  
Bert Dolcine ◽  
Hannah Loshak

A literature search informed this Environmental Scan and identified 11 evaluations of virtual care in primary care health settings and 7 publications alluding to methods, standards, and guidelines (referred to as evaluation guidance documents in this report) being used in various countries to evaluate virtual care in primary care health settings. The majority of included literature was from Australia, the US, and the UK, with 2 evaluation guidance documents published by the Heart and Stroke Foundation of Canada. Evaluation guidance documents recommended using measurements that assess the effectiveness and quality of clinical care including safety outcomes, time and travel, financial and operational impact, participation, health care utilization, technology experience including feasibility, user satisfaction, and barriers and facilitators or measures of health equity. Evaluation guidance documents specified that the following key decisions and considerations should be integrated into the planning of a virtual care evaluation: refining the scope of virtual care services; selecting an appropriate meaningful comparator; and identifying opportune timing and duration for the evaluation to ensure the evaluation is reflective of real-world practice, allows for adequate measurement of outcomes, and is comprehensive, timely, feasible, non-complex, and non–resource-intensive. Evaluation guidance documents highlighted that evaluations should be systematic, performed regularly, and reflect the stage of virtual care implementation to encompass the specific considerations associated with each stage. Additionally, evaluations should assess individual virtual care sessions and the virtual care program as a whole. Regarding economic components of virtual care evaluations, the evaluation guidance documents noted that costs or savings are not limited to monetary or financial measures but can also be represented with time. Cost analyses such as cost-benefit and cost-utility estimates should be performed with a specific emphasis on selecting an appropriate perspective (e.g., patient or provider), as that influences the benefits, effects, and how the outcome is interpreted. Two identified evaluations assessed economic outcomes through cost analyses in the perspective of the patient and provider. Evidence suggests that, in some circumstances, virtual care may be more cost-effective and reduces the cost per episode and patient expenses (e.g., travel and parking costs) compared to in-person care. However, virtual care may increase the number of individuals treated, which would increase overall health care spending. Four identified evaluations assessed health care utilization. The evidence suggests that virtual care reduces the duration of appointments and may be more time-efficient compared to in-person care. However, it is unclear if virtual care reduces the use of medical resources and the need for follow-up appointments, hospital admissions, and emergency department visits compared to in-person care. Five identified evaluations assessed participation outcomes. Evidence was variable, with some evidence reporting that virtual care reduced attendance (e.g., reduced attendance rates) and other evidence noting improved attendance (e.g., increased completion rate and decreased cancellations and no-show rates) compared to in-person care. Three identified evaluations assessed clinical outcomes in various health contexts. Some evidence suggested that virtual care improves clinical outcomes (e.g., in primary care with integrated mental health services, symptom severity decreased) or has a similar effect on clinical outcomes compared to in-person care (e.g., use of virtual care in depression elicited similar results with in-person care). Three identified evaluations assessed the appropriateness of prescribing. Some studies suggested that virtual care improves appropriateness by increasing guideline-based or guideline-concordant antibiotic management, or elicits no difference with in-person care.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Fortune N. Nyamande ◽  
Paola A. Mosquera ◽  
Miguel San Sebastián ◽  
Per E. Gustafsson

Abstract Background Knowledge remains scarce about inequities in health care utilization between groups defined, not only by single, but by multiple and intersecting social categories. This study aims to estimate intersectional horizontal inequities in health care utilization by gender and educational level in Northern Sweden, applying a novel methodological approach. Methods Data on participants (N = 22,997) aged 16–84 years from Northern Sweden came from the 2014 Health on Equal Terms cross sectional survey. Primary (general practitioner) and secondary (specialist doctor) health care utilization and health care needs indicators were self-reported, and sociodemographic information came from registers. Four intersectional categories representing high and low educated men, and high and low educated women, were created, to estimate intersectional (joint, referent, and excess) inequalities, and needs-adjusted horizontal inequities in utilization. Results Joint inequalities in primary care were large; 8.20 percentage points difference (95%CI: 6.40–9.99) higher utilization among low-educated women than high-educated men. Only the gender referent inequity remained after needs adjustment, with high- (but not low-) educated women utilizing care more frequently than high-educated men (3.66 percentage points difference (95%CI: 2.67–5.25)). In contrast, inequalities in specialist visits were dominated by referent educational inequalities, (5.69 percentage points difference (95%CI: 2.56–6.19), but with no significant horizontal inequity – by gender, education, or their combination – remaining after needs adjustment. Conclusion This study suggests a complex interaction of gender and educational inequities in access to care in Northern Sweden, with horizontal equity observable for secondary but not primary care. The study thereby illustrates the unique knowledge gained from an intersectional perspective to equity in health care.


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