Keurig: From David to Goliath: The Challenge of Gaining and Maintaining Marketplace Leadership

Author(s):  
Eric T. Anderson ◽  
Elizabeth Anderson

From 2002 to 2011, coffee-machine manufacturer Keurig Incorporated had grown from a privately held company with just over $20 million in revenues and a plan to enter the single serve coffee arena for home consumers, to a wholly owned subsidiary of Green Mountain Coffee Roasters, Inc., a publicly traded company with net revenues of $1.36 billion and a market capitalization of between $8 and $9 billion. In 2003 Keurig had introduced its first At Home brewer. Now, approximately 25 percent of all coffee makers sold in the United States were Keurig-branded machines, and Keurig was recognized as among the leaders in the marketplace. The company had just concluded agreements with both Dunkin' Donuts and Starbucks that would make these retailers' coffee available for use with Keurig's specialized brewing system. The company faced far different challenges than when it was a small, unknown marketplace entrant. John Whoriskey, vice president and general manager of Keurig's At Home division, had to consider the impact that impending expiration of key technology patents and the perceived environmental impact of the K-Cup® portion packs would have on the company's growth. Whoriskey also wondered what Keurig's growth potential was, and how the new arrangements with Starbucks and Dunkin' Donuts could be leveraged to achieve it.

Author(s):  
Henil Y. Patel ◽  
Daniel J. West

ABSTRACT Hospital at Home (HaH) is a sustainable, innovative, and next-generation model of healthcare. From the healthcare management point of view, this model provides cost benefits and quality improvement, and from the physicians' point of view, it helps in providing patient-centered medical care and keeps patients away from hospital admission and its complications. The HaH model was first introduced at John Hopkins in the United States in 1995, which showed very promising results in context to the length of stay, readmission rates, patient satisfaction, and hospital-acquired infections. The HaH model of care provides acute critical care to patients at home and reduces unnecessary hospitalization and related complications. The identified patients for this model of care are elderly patients with chronic conditions and multiple comorbidities. The emergence of technology in today's world and the impact of coronavirus disease 2019 (COVID-19) have increased the demand for the HaH model of care. Although there are many benefits and advantages, the HaH model of care has significant barriers and limitations, such as reimbursement for payment, physician and patient resistance, patient safety, and lack of quantifying research data to support the use of this model. Specific training for the physician, nursing, and other members of the HaH multidisciplinary team is necessary for HaH treatment protocols, along with patient and family caregiver education for those who elect the HaH model of care. HaH is the future of comprehensive healthcare services and helps in achieving the triple aim of access to healthcare, improved quality of care, and reduced cost for healthcare.


2020 ◽  
Vol 16 (4) ◽  
pp. 935-942 ◽  
Author(s):  
Laine P. Shay

AbstractThe 2019–20 coronavirus pandemic has significantly altered lives across the globe. In the United States, several states attempted to manage the pandemic by issuing stay-at-home orders. In this research note, I examine whether the gender of state policy makers in the executive branch might impact a state's adoption of a stay-at-home order. Using event history analysis, I find that the governor's gender has no impact on the likelihood of a state adopting a stay-at-home order. However, I find that gender plays a significant role for agency heads. Specifically, my analysis shows that states with a female-headed health agency tend to adopt stay-at-home orders earlier than states with a male administrator. These findings shed light on how female leadership in the executive branch may impact public policy regarding COVID-19.


Author(s):  
Sunil Chopra ◽  
Ioana Andreas ◽  
Sigmund Gee ◽  
Ivi Kolasi ◽  
Stephane Lhoste ◽  
...  

In September 2010 Suresh Krishna, vice president of operations and integration at Polaris Industries Inc., a manufacturer of all-terrain vehicles, Side-by-Sides, and snowmobiles, needed to recommend a location for a new plant to manufacture the company's Side-by-Side vehicles.The economic slowdown in the United States had put considerable pressure on Polaris's profits, so the company was considering whether it should follow the lead of other manufacturers and open a facility in a country with lower labor costs. China and Mexico were shortlisted as possible locations for the new factory, which would be the first Polaris manufacturing facility located outside the Midwestern United States. By the end of the year Krishna needed to recommend to the board whether Polaris should build a new plant abroad (near-shored in Mexico or off-shored in China) or continue to manufacture in its American facilities. Evaluate tradeoffs between different geographic locations when establishing a manufacturing facility (off-shoring, near-shoring, and on-shoring) Run a sensitivity analysis on total cost Assess the impact of transportation costs, exchange rates, labor cost rates, lead times, and other assumptions on total costs Identify qualitative factors to be considered when deciding between non-U.S. facility locations, transportation time variability, consumer perceptions, and cultural differences


Author(s):  
Simiao Chen ◽  
Qiushi Chen ◽  
Juntao Yang ◽  
Lin Lin ◽  
Linye Li ◽  
...  

Abstract Background In many countries, patients with mild coronavirus disease 2019 (COVID-19) are told to self-isolate at home, but imperfect compliance and shared living space with uninfected people limit the effectiveness of home-based isolation. We aim to examine the impact of facility-based isolation compared to self-isolation at home on the continuing epidemic in the United States. Methods We developed a compartment model to simulate the dynamic transmission of COVID-19 and calibrated it to key epidemic measures in the United States from March to September. We simulated facility-based isolation strategies with various capacities and starting times under different diagnosis rates. The primary model outcomes included the reduction of new infections and deaths over two months from October onwards. We further explored different effects of facility-based isolation under different epidemic burdens by major US Census Regions, and performed sensitivity analyses by varying key model assumptions and parameters. Results We projected that facility-based isolation with moderate capacity of 5 beds per 10 000 total population could avert 4.17 (95% Credible Interval 1.65–7.11) million new infections and 16 000 (8000-23 000) deaths in two months compared with home-based isolation, equivalent to relative reductions of 57% (44–61%) in new infections and 37% (27–40%) in deaths. Facility-based isolation with high capacity of 10 beds per 10 000 population would achieve greater reduction of 76% (62–84%) in new infections and 52% (37–64%) in deaths when supported by the expanded testing with a 20% daily diagnosis rate. Delays in implementation would substantially reduce the impact of facility-based isolation. The effective capacity and the impact of facility-based isolation varied by epidemic stage across regions. Conclusion Timely facility-based isolation for mild COVID-19 cases could substantially reduce the number of new infections and effectively curb the continuing epidemic compared to home-based isolation. The local epidemic burden should determine the effective scale of facility-based isolation strategies.


Author(s):  
Nicholas C Jacobson ◽  
Damien Lekkas ◽  
George Price ◽  
Michael V Heinz ◽  
Minkeun Song ◽  
...  

BACKGROUND The coronavirus disease (COVID-19) has led to dramatic changes worldwide in people’s everyday lives. To combat the pandemic, many governments have implemented social distancing, quarantine, and stay-at-home orders. There is limited research on the impact of such extreme measures on mental health. OBJECTIVE The goal of this study was to examine whether stay-at-home orders produced differential changes in mental health symptoms using internet search queries on a national scale. METHODS In the United States, individual states vary in their adoption of measures to reduce the spread of COVID-19; as of March 23, 2020, 11 of the 50 states had issued stay-at-home orders. The staggered rollout of stay-at-home measures across the United States allows us to investigate whether these measures impact mental health by exploring variations in mental health search queries across the states. This paper examines the changes in mental health search queries on Google between March 16-23, 2020, across each state and Washington, DC. Specifically, this paper examines differential changes in mental health searches based on patterns of search activity following issuance of stay-at-home orders in these states compared to all other states. The participants were all the people who searched mental health terms in Google between March 16-23. Between March 16-23, 11 states underwent stay-at-home orders to prevent the transmission of COVID-19. Outcomes included search terms measuring anxiety, depression, obsessive-compulsive, negative thoughts, irritability, fatigue, anhedonia, concentration, insomnia, and suicidal ideation. RESULTS Analyzing over 10 million search queries using generalized additive mixed models, the results suggested that the implementation of stay-at-home orders are associated with a significant flattening of the curve for searches for suicidal ideation, anxiety, negative thoughts, and sleep disturbances, with the most prominent flattening associated with suicidal ideation and anxiety. CONCLUSIONS These results suggest that, despite decreased social contact, mental health search queries increased rapidly prior to the issuance of stay-at-home orders, and these changes dissipated following the announcement and enactment of these orders. Although more research is needed to examine sustained effects, these results suggest mental health symptoms were associated with an immediate leveling off following the issuance of stay-at-home orders.


Circulation ◽  
2020 ◽  
Vol 142 (4) ◽  
Author(s):  
Daichi Shimbo ◽  
Nancy T. Artinian ◽  
Jan N. Basile ◽  
Lawrence R. Krakoff ◽  
Karen L. Margolis ◽  
...  

The diagnosis and management of hypertension, a common cardiovascular risk factor among the general population, have been based primarily on the measurement of blood pressure (BP) in the office. BP may differ considerably when measured in the office and when measured outside of the office setting, and higher out-of-office BP is associated with increased cardiovascular risk independent of office BP. Self-measured BP monitoring, the measurement of BP by an individual outside of the office at home, is a validated approach for out-of-office BP measurement. Several national and international hypertension guidelines endorse self-measured BP monitoring. Indications include the diagnosis of white-coat hypertension and masked hypertension and the identification of white-coat effect and masked uncontrolled hypertension. Other indications include confirming the diagnosis of resistant hypertension and detecting morning hypertension. Validated self-measured BP monitoring devices that use the oscillometric method are preferred, and a standardized BP measurement and monitoring protocol should be followed. Evidence from meta-analyses of randomized trials indicates that self-measured BP monitoring is associated with a reduction in BP and improved BP control, and the benefits of self-measured BP monitoring are greatest when done along with cointerventions. The addition of self-measured BP monitoring to office BP monitoring is cost-effective compared with office BP monitoring alone or usual care among individuals with high office BP. The use of self-measured BP monitoring is commonly reported by both individuals and providers. Therefore, self-measured BP monitoring has high potential for improving the diagnosis and management of hypertension in the United States. Randomized controlled trials examining the impact of self-measured BP monitoring on cardiovascular outcomes are needed. To adequately address barriers to the implementation of self-measured BP monitoring, financial investment is needed in the following areas: improving education and training of individuals and providers, building health information technology capacity, incorporating self-measured BP readings into clinical performance measures, supporting cointerventions, and enhancing reimbursement.


Urban Climate ◽  
2021 ◽  
pp. 100946
Author(s):  
Samain Sabrin ◽  
Maryam Karimi ◽  
Rouzbeh Nazari ◽  
Md Golam Rabbani Fahad ◽  
Robert W. Peters ◽  
...  

10.2196/19347 ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. e19347 ◽  
Author(s):  
Nicholas C Jacobson ◽  
Damien Lekkas ◽  
George Price ◽  
Michael V Heinz ◽  
Minkeun Song ◽  
...  

Background The coronavirus disease (COVID-19) has led to dramatic changes worldwide in people’s everyday lives. To combat the pandemic, many governments have implemented social distancing, quarantine, and stay-at-home orders. There is limited research on the impact of such extreme measures on mental health. Objective The goal of this study was to examine whether stay-at-home orders produced differential changes in mental health symptoms using internet search queries on a national scale. Methods In the United States, individual states vary in their adoption of measures to reduce the spread of COVID-19; as of March 23, 2020, 11 of the 50 states had issued stay-at-home orders. The staggered rollout of stay-at-home measures across the United States allows us to investigate whether these measures impact mental health by exploring variations in mental health search queries across the states. This paper examines the changes in mental health search queries on Google between March 16-23, 2020, across each state and Washington, DC. Specifically, this paper examines differential changes in mental health searches based on patterns of search activity following issuance of stay-at-home orders in these states compared to all other states. The participants were all the people who searched mental health terms in Google between March 16-23. Between March 16-23, 11 states underwent stay-at-home orders to prevent the transmission of COVID-19. Outcomes included search terms measuring anxiety, depression, obsessive-compulsive, negative thoughts, irritability, fatigue, anhedonia, concentration, insomnia, and suicidal ideation. Results Analyzing over 10 million search queries using generalized additive mixed models, the results suggested that the implementation of stay-at-home orders are associated with a significant flattening of the curve for searches for suicidal ideation, anxiety, negative thoughts, and sleep disturbances, with the most prominent flattening associated with suicidal ideation and anxiety. Conclusions These results suggest that, despite decreased social contact, mental health search queries increased rapidly prior to the issuance of stay-at-home orders, and these changes dissipated following the announcement and enactment of these orders. Although more research is needed to examine sustained effects, these results suggest mental health symptoms were associated with an immediate leveling off following the issuance of stay-at-home orders.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 2-2
Author(s):  
David Dingli ◽  
Joana E. Matos ◽  
Kerri Lehrhaupt ◽  
Sangeeta Krishnan ◽  
Sujata P. Sarda ◽  
...  

INTRODUCTION Paroxysmal nocturnal hemoglobinuria (PNH) is a rare, acquired, hematologic disease characterized by chronic complement-mediated hemolysis. Treatment with the C5 inhibitor eculizumab has resulted in a reduction in intravascular hemolysis (IVH) and improvements in morbidity and mortality. However, in a single-center cohort of patients with PNH receiving treatment with eculizumab, 72% remained anemic and 36% continued to require transfusions due to ongoing IVH and extravascular hemolysis (McKinley CE, et al.Blood. 2017;130(Suppl 1):3471; Risitano AM, et al.Front Immunol. 2019;10:1157). This study aims to describe the burden of illness in patients with PNH currently being treated with C5 inhibitors (eculizumab and ravulizumab). Overall, the study aims to understand the clinical and hematological outcomes associated with burden of illness in about 150 patients with PNH globally. In these preliminary analyses, the impact of PNH on hematologic and clinical measures is assessed from patients in the United States. METHODS A cross-sectional survey was administered to adult patients ≥18 years of age in the United States with a self-reported diagnosis of PNH, recruited through a patient advocacy group. Inclusion criteria to complete the secure online survey included current treatment with either eculizumab or ravulizumab, informed consent, and agreement to adverse event reporting. This study was initiated in July 2020 and is ongoing. Results presented herein are preliminary. Impact of PNH on hematologic and clinical measures will be assessed using the following variables: diagnosis levels; and any patient history of blood transfusions, thrombotic events, renal impairment, fatigue, and other PNH-associated symptoms as well as dosing frequency and treatment patterns. For these preliminary analyses, descriptive statistics will be reported for patients who have completed the survey. RESULTS As of August 6, 2020, 58 adult patients with a median age of 52 years (range, 21-88) completed the survey, among which 78% were female. Current medications included eculizumab (n = 20 [34.5%]) or ravulizumab (n = 38 [65.5%]), as well as concurrent anticoagulants (n = 9 [15.5%]) and/or anti-thrombotics (n = 2 [3%]). Most patients initiated treatment with eculizumab (n = 20 [100%]) or with ravulizumab (n = 34 [90%]) ≥3 months before. Median (interquartile range) last known hemoglobin level for patients on eculizumab and ravulizumab was 9.3 g/dL (8.0-11.1) and 10.1 g/dL (8.9-11.5), respectively. Overall, 45 (82%) patients reported hemoglobin values <12 g/dL (eculizumab: 90%; ravulizumab: 78%). Forty (69%) patients reported having ≥1 red blood cell transfusion at any point during their disease. Within the previous 12 months, 53% and 26% of eculizumab- and ravulizumab-treated patients, respectively, had ≥1 transfusion, and 12% and 17% were unsure. Among those patients who had ever received ≥1 transfusion, 6% and 13% had >4 transfusions in the previous 12 months for eculizumab and ravulizumab, respectively. Seventeen patients (29%) reported ≥1 thrombotic event at any point during their disease. Seven patients reported thrombotic events over the previous 12 months; six were receiving ravulizumab. The majority (77%) of patients reported fatigue. Fatigue was reported by nearly 95% of eculizumab-treated patients and 68% of ravulizumab-treated patients. CONCLUSIONS Preliminary results from this burden of illness survey demonstrate that a majority of patients with PNH report remaining anemic, despite treatment with C5 inhibitors eculizumab and ravulizumab for a period of ≥3 months. Disclosures Dingli: Sanofi-Genzyme:Consultancy;Karyopharm Therapeutics:Research Funding;Bristol Myers Squibb:Research Funding;Millenium:Consultancy;Alexion:Consultancy;Apellis:Consultancy;Rigel:Consultancy;Janssen:Consultancy.Matos:Kantar:Current Employment.Lehrhaupt:Kantar:Current Employment.Krishnan:Apellis:Current Employment, Current equity holder in publicly-traded company.Sarda:Apellis:Current Employment, Current equity holder in publicly-traded company.Baver:Apellis:Current Employment, Current equity holder in publicly-traded company.


Author(s):  
Catherine Buck ◽  
Rita Kobb ◽  
Ron Sandreth ◽  
Lisa Alexander ◽  
Sherron Olliff ◽  
...  

Abstract  Objective: The Veterans Health Administration has one of the largest remote patient monitoring programs in the United States and is supported by an enterprise-wide infrastructure for providers, clinicians, staff, Veterans, and caregivers. The COVID-19 pandemic, however, presented new challenges: a sudden need to provide large-scale remote monitoring for a new disease that did not yet have a disease management protocol. VHA needed to be ready within weeks to provide this daily monitoring for hundreds — even thousands — of Veterans.  Methods: The U.S. Department of Veterans Affairs Office of Connected Care already had a comprehensive infrastructure in place for its Remote Patient Monitoring – Home Telehealth (RPM – HT) program. Connected Care activated and built on this infrastructure to support providers, clinicians, and staff in their efforts to rapidly bring RPM – HT to Veterans across the nation when they had COVID-19 symptoms or exposure. To do this, Connected Care activated an emergency management plan, rapidly developed a new COVID-19-specific disease management protocol, added weekend monitoring, and procured critically needed monitoring supplies, such as thermometers and pulse oximeters. Connected Care’s strong foundation allowed for innovation and flexibility, such as the training of non-RPM – HT staff in RPM – HT processes, RPM – HT enrollment within acute care settings, and new strategic partnerships. Outcomes: More than 23,500 Veterans were enrolled for COVID-19-related monitoring from March 2020 to May 2021. At points in December 2020 and January 2021, the number of Veterans being monitored in a single day topped 2,000. Even with this rapid buildup, patient satisfaction levels remained at about 90% in numerous categories. In addition, the percentage of Veterans admitted to VA facilities while on COVID-19-related home monitoring has been extremely low, at 4%, a potential indicator that the monitoring system has been helpful in enabling Veterans who did have the virus to convalesce at home. Further study is needed to determine the impact RPM – HT enrollment for COVID-19 care had on the need for inpatient care. Conclusion: The Office of Connected Care’s established, enterprise-wide RPM – HT business, clinical, and technical infrastructure enabled VHA to enter the COVID-19 public health emergency well-positioned for the rapid deployment and growth of at-home and mobile monitoring. As the COVID-19 emergency made at-home management of Veterans increasingly important, the national RPM – HT program successfully adapted its practices to meet Veteran, caregiver, and staff needs.


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