Policy Implications of Outcomes Research

1990 ◽  
Vol 6 (2) ◽  
pp. 295-296
Author(s):  
Charles N. Kahn

The discussion of the effectiveness of the use of large bases for technology and quality assessments in health care is important to policy makers because of their increasing concern about the value of the dollars spent on health care. The focus on value is particularly acute for those policy makers having responsibility for the Medicare program. Recognizing that knowledge regarding medical outcomes will be imperfact, nevertheless, they have put the wheels in motion to empand research in this area beyond clinical trials.

Author(s):  
David Cork ◽  
Emilie Kottenmeier ◽  
Sarah Mollenkopf ◽  
Candace Gunnarsson ◽  
Patrick Verta ◽  
...  

Background: Mitral Regurgitation (MR) is associated with significant health care costs. This study aims to quantify the financial healthcare burden of Medicare Advantage (MA) patients across all MR patients from the Medical Outcomes Research for Effectiveness and Economics (MORE2) Registry. Methods: MA patients with a minimum of 1 inpatient or 2 outpatient claims for MR from 2008-2014 were reviewed. The index date was defined as a first inpatient claim or second outpatient claim. A 6-month pre-period (baseline) and 6-month post (washout) after index was used to define baseline etiology and severity. Three MR cohorts were defined: (1) Functional MR (FMR) was defined by the presence of heart failure during washout; (2) Degenerative MR (DMR) was defined by presence of chordal rupture or the absence of both heart failure and ischemia; and (3) Uncharacterized MR (UMR) was defined by patients otherwise not meeting the criteria for FMR or DMR. sMR was defined by a history of MR surgery, a diagnosis of atrial fibrillation or pulmonary hypertension, chordal rupture (DMR only), or record of two or more echocardiograms (per clinical guidelines) during washout. Demographics, comorbidities, healthcare utilization, and all-cause expenditures were summarized. Results: Of the 164,682 MA patients with MR who met inclusion criteria, 70,452 (43%) had FMR, 51,399 (31%) had DMR, and 42,831 (26%) had UMR. Average age (SD) was similar across cohorts: 74 (7.95), 72 (8.46), and 74 (7.45) years for FMR, DMR, and UMR, respectively. Proportion of severe patients and Charlson Comorbidity Index (CCI) indicates that the FMR cohort was “sicker” as compared to the others: FMR (41,325 [59% of 70,452]; CCI 4.56), DMR (16,169 [32% of 51,399]; CCI 1.67), and UMR (16,131 [38% of 42,831]; CCI 2.80). 2,079 patients (1.26% of total 164,682) received mitral valve surgery at index or washout with the highest occurrence in FMR patients (1,663), followed by UMR (327) and DMR (89). When comparing across the MR cohorts, the FMR cohort had higher rates of hospital admission, but length of stay was similar between cohorts (FMR [19.9%, 4-days], DMR [9.4%, 4-days], and UMR [13.6%, 3-days]). FMR had the highest annual all-cause healthcare costs (SD) ($22,569, [$59,876]), followed by UMR ($14,735 [$32,070]) and DMR ($10,485 [$23,934]). Conclusions: MR in the Medicare Advantage population is associated with a substantial health care burden, with FMR patients having the highest cost and utilization patterns. This population should, therefore, have access to innovative treatment options that relieve symptoms and reduce economic burden.


2020 ◽  
Vol 46 (1) ◽  
pp. 55-75
Author(s):  
Ying Long ◽  
Jianting Zhao

This paper examines how mass ridership data can help describe cities from the bikers' perspective. We explore the possibility of using the data to reveal general bikeability patterns in 202 major Chinese cities. This process is conducted by constructing a bikeability rating system, the Mobike Riding Index (MRI), to measure bikeability in terms of usage frequency and the built environment. We first investigated mass ridership data and relevant supporting data; we then established the MRI framework and calculated MRI scores accordingly. This study finds that people tend to ride shared bikes at speeds close to 10 km/h for an average distance of 2 km roughly three times a day. The MRI results show that at the street level, the weekday and weekend MRI distributions are analogous, with an average score of 49.8 (range 0–100). At the township level, high-scoring townships are those close to the city centre; at the city level, the MRI is unevenly distributed, with high-MRI cities along the southern coastline or in the middle inland area. These patterns have policy implications for urban planners and policy-makers. This is the first and largest-scale study to incorporate mobile bike-share data into bikeability measurements, thus laying the groundwork for further research.


2020 ◽  
Vol 4 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Lynn Rochester ◽  
Claudia Mazzà ◽  
Arne Mueller ◽  
Brian Caulfield ◽  
Marie McCarthy ◽  
...  

Health care has had to adapt rapidly to COVID-19, and this in turn has highlighted a pressing need for tools to facilitate remote visits and monitoring. Digital health technology, including body-worn devices, offers a solution using digital outcomes to measure and monitor disease status and provide outcomes meaningful to both patients and health care professionals. Remote monitoring of physical mobility is a prime example, because mobility is among the most advanced modalities that can be assessed digitally and remotely. Loss of mobility is also an important feature of many health conditions, providing a read-out of health as well as a target for intervention. Real-world, continuous digital measures of mobility (digital mobility outcomes or DMOs) provide an opportunity for novel insights into health care conditions complementing existing mobility measures. Accepted and approved DMOs are not yet widely available. The need for large collaborative efforts to tackle the critical steps to adoption is widely recognised. Mobilise-D is an example. It is a multidisciplinary consortium of 34 institutions from academia and industry funded through the European Innovative Medicines Initiative 2 Joint Undertaking. Members of Mobilise-D are collaborating to address the critical steps for DMOs to be adopted in clinical trials and ultimately health care. To achieve this, the consortium has developed a roadmap to inform the development, validation and approval of DMOs in Parkinson’s disease, multiple sclerosis, chronic obstructive pulmonary disease and recovery from proximal femoral fracture. Here we aim to describe the proposed approach and provide a high-level view of the ongoing and planned work of the Mobilise-D consortium. Ultimately, Mobilise-D aims to stimulate widespread adoption of DMOs through the provision of device agnostic software, standards and robust validation in order to bring digital outcomes from concept to use in clinical trials and health care.


2021 ◽  
pp. 074391562199903
Author(s):  
Praveen K. Kopalle ◽  
Donald R. Lehmann

This paper highlights some benefits to and issues with the application of big data and analytics, with emphasis on its role in health care. It considers both its effectiveness/value (i.e., how it can be used) and concerns about its use related to privacy and acceptance by individuals (i.e., how it should be used)


2021 ◽  
pp. 008124632199217
Author(s):  
Yogan Pillay

We are committed to an AIDS free generation by 2030 – nine short years away. This article reflects on the global and South African data on new infections, total number of children and adolescents living with HIV as well as data on vertical transmission. The article includes the voices of key stakeholders in the quest to end HIV in children so that lessons from their experiences can be used by policy makers in strengthening services.


Author(s):  
Giuliano Sansone ◽  
Elisa Ughetto ◽  
Paolo Landoni

AbstractAlthough a great deal of attention has been paid to entrepreneurship education, only a few studies have analysed the impact of extra-curricular entrepreneurial activities on students’ entrepreneurial intention. The aim of this study is to fill this gap by exploring the role played by Student-Led Entrepreneurial Organizations (SLEOs) in shaping the entrepreneurial intention of their members. The analysis is based on a survey that was conducted in 2016 by one of the largest SLEOs in the world: the Junior Enterprises Europe (JEE). The main result of the empirical analysis is that the more time students spent on JEE and the higher the number of events students attended, the greater their entrepreneurial intention was. It has been found that other important drivers also increase students’ entrepreneurial intention, that is, the Science and Technology field of study and the knowledge of more than two foreign languages. These results confirm that SLEOs are able to foster students’ entrepreneurial intention. The findings provide several theoretical, practical and public policy implications. SLEOs are encouraged to enhance their visibility and lobbying potential in order to be recognized more as drivers of student entrepreneurship. In addition, it is advisable for universities and policy makers to support SLEOs by fostering their interactions with other actors operating in the entrepreneurial ecosystem, who promote entrepreneurship and technology transfer activities. Lastly, this paper advises policy makers to assist SLEOs’ activities inside and outside the university context.


2019 ◽  
Vol 59 (2) ◽  
pp. 247-266
Author(s):  
Tien Duc Pham

Tourism productivity measures are quite diverse, not always compatible and usually based partly on labor productivity for hotels and restaurants. This article develops a holistic approach that integrates the principles of the growth accounting framework and tourism satellite account to measure multifactor productivity, labor productivity and capital productivity for the Australian tourism industry. This study shows that tourism has been identified as a reservoir for other industries through the ebbs and flows of labor demands. Compared with the rest of the economy, the average growth of labor productivity—that is, income per unit of labor—for tourism is stagnant, and has reached an unprecedented low, six times below the market sector average, mainly because of low multifactor productivity. The results are valuable for policy makers and the lobbying groups wanting to identify areas of need for policy changes to ensure the healthy long-term growth of tourism.


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