Category Archives: Emergency Management

Unified Command and Cross-Agency Conflicts

Each and every day I am faced with incidents that involve a number of different agencies. A simple car crash, for example, can involve two police departments, two fire departments, three emergency medical basic life support services, and two emergency medical advanced life support services, yet we never use unified command, merely single command. Having been trained in ICS and incident management with a focus on unified command structures, it is disheartening to see my local responders attempt to manage incidents without this useful and effective facet. According to Walsh et al. (2012), responders frequently face incidents where multiple agencies and multiple jurisdictions are involved, and frequent use of unified command during incidents of smaller scale creates a familiarity which allows for seamless scalability when the need for a robust command structure presents itself.

A recent house fire brought this to the forefront of my mind. We had six fire departments, an emergency medical basic life support service, the state police, and two fire investigators onscene. We had one incident commander (the Chief of the jurisdictional department), no EMS command or law enforcement command, and no subordinate structure. The incident commander quickly found himself burdened with every detail of the incident and no one to help to alleviate the burden. Additionally, the incident commander (the only person who has detailed knowledge about the incident thus far) is finding himself walking in and around the fire building. If anything devastating happens, such as an explosion or toxic release, the entirety of command would be compromised and a whole command structure would have to be developed from scratch. More importantly, however, is the potential for conflict in determining who is ultimately in charge of each operational group (i.e. emergency medical services without an EMS command) or operational period, such as might occur in protracted incidents. Turf wars are notorious amongst public safety agencies, and planning the roles and responsibilities of each prior to responding to incidents can go a long way in preventing this conflict and confusion.

Compare the above with how we would approach almost every incident when I worked for the city of Austin, Texas. In Austin, we relied heavily on the unified command approach to incident management. For any motor vehicle accident, house fire, technical rescue, or any other multi-agency response, we would establish fire command, EMS command, and law enforcement command (depending on the involvement of each agency). At the least, law enforcement would plug in to the command structure as an operational branch. We would always establish a command, and if the incident warranted, we would build the command structure in top-down fashion starting with operations. Many incidents in Austin did, in fact, have pre-plans established that each agency was well versed in and trained on often. This allowed for rapid mitigation of any unforeseen circumstances that might occur. Additionally, the command post was always removed from the scene enough to prevent the command structure from succumbing to the effects (whether physical hazards or emotional) of the incident scene. In this paradigm, there is always a superior to represent the interests of each agency and guide their members safely and effectively through the incident.

There are many methods of effectively responding to and managing incidents, and many of these methods work most of the time; however, best practices, as described in Walsh et al. (2012), are designed to ensure effective and efficient incident management as well as maintain operational security and safety.

References

Walsh, D. W., Christen, H. T., Callsen, C. E., Miller, G. T., Maniscalco, P. M., Lord, G. C., & Dolan, N. J. (2012). National Incident Management System: principles and practice (2nd ed.). Sudbury, MA: Jones & Bartlett.

National Incident Management System

The National Incident Management System [NIMS] is a dynamic continuum of interrelated processes designed to allow for the systematic response to any incident, large or small, using standardized practices that transcend political and geographical boundaries and can be adopted easily without regard to specialty or professional focus (U.S. Department of Homeland Security, Federal Emergency Management Agency [FEMA], n.d.; Walsh et al., 2012). The five component philosophies of NIMS are:

  1. preparedness,
  2. communications and information management,
  3. resource management,
  4. command and management, and
  5. ongoing management and maintenance.

I have not included ‘supporting technologies’ as a component of NIMS merely because it is supportive in both description and function.

Supporting technologies are used to further enhance the efficiency and effectiveness of NIMS by providing tools that help to streamline processes (Walsh et al., 2012). Supporting technologies has to be the least important on the list as it can be used to facilitate each of the others, but the effectiveness of NIMS is not contingent on this component.

The strongest, or most important component, is arguably preparedness. Kirkwood (2008) outlines the importance of training when dealing with large and small events across multiple jurisdictions and demonstrates how preparing for the eventuality of an emergency allows for a greater degree of critical thinking without the burden of the emergency, itself. However, as NIMS is a continuum of systems and processes, each of the five components is strikingly important to the others and can be either complimentary or detrimental in the end.

References

Kirkwood, S. (2008). NIMS and ICS: from compliance to competence. EMS Magazine, 37(2), 51-2, 54-7. Retrieved from http://www.emsresponder.com/

U.S. Department of Homeland Security, Federal Emergency Management Agency. (n.d.). NIMS FAQ. Retrieved from http://www.fema.gov/emergency/nims/FAQ.shtm

Walsh, D. W., Christen, H. T., Callsen, C. E., Miller, G. T., Maniscalco, P. M., Lord, G. C., & Dolan, N. J. (2012). National Incident Management System: principles and practice (2nd ed.). Sudbury, MA: Jones & Bartlett.

The National Incident Management System

The National Response Framework (NRF) is an evolution of a series of national readiness plans that have been adapted to handle various emergencies at the national level (Walsh et al., 2012). According to Walsh et al. (2012), the federal government developed a response plan to guide the efforts and deployable assets in the event of any emergency that overwhelmed local and state capabilities. The first of these plans was developed in 1992, called the Federal Response Plan (FRP), and proved ineffective when implemented during a hurricane response in Miami, Florida, primarily due to a lack of familiarity and a focus on federal efforts instead of local scalability.

At the time the FRP was in effect, many fire departments across the country were adopting a modular system of incident management referred to as the incident command system (ICS). Early in its inception, ICS was not standard between the various departments, but as the federal government began to improve upon the FRP, developing the National Response Plan (NRP) with a focus towards incorporating and standardizing ICS, the various fire departments began to refer to the federal government implementation of ICS which promoted its standardization. The NRP was created in 2004 to answer concerns that were outlined in Presidential directives HSPD-5, HSPD-8, and discussions regarding the recent terror attacks on September 11, 2001, and the federal response to Hurricane Katrina. The NRP, in addition to standardizing ICS, addressed the roles of each level of government (local, state, and federal), non-governmental disaster aid organizations, and private business (U.S. Department of Homeland Security, 2004; Walsh et al., 2012). This growth, evolution, and adaptation of ICS within the NRP grew into a further adaptation of a comprehensive incident management system, now known as the national incident management system (NIMS) which allows for implementation at each level of government, within business, and with each private citizen (U.S. Department of Homeland Security, 2008a, 2008b; Walsh et al., 2012). This scalability also allows for increased modulation by either increasing the scope of a response or decreasing it as needed. In 2008, the U.S. Department of Homeland Security (2008a), understanding the shortcomings of the NRP and the promise of NIMS, further refined the response guidelines while using NIMS principles to develop the National Response Framework (NRF; U.S. Department of Homeland Security, 2008a, 2008b; Walsh et al., 2012). Both NIMS and the NRF share the foundation principle that most incidents start and end at the local level and are best managed by local interests (U.S. Department of Homeland Security, 2008a; Walsh et al., 2012).

This was evident during the 2008 hurricane season. As a contractor under Emergency Support Function #8 – Public Health and Medical Services Annex – I was part of the largest single mobilization of emergency medical services in history. Although we could have taken over jurisdiction from the clearly overwhelmed local government (as might have occurred under the FRP), we continually offered our assistance and only responded when requested. This allowed for a more focused response with rapid demobilization and remobilization when confronted with a second and third hurricane that threatened another region. This effort was appreciated by the local emergency managers who not only learned from the event but also adapted their local response plans to include variations of significant mobilizations of each of the emergency support functions.
The continued development of the response plans, incident management systems, and command structures and systems is a testament of the government’s ability and readiness to assist in the event of an emergency, but it is also a testament to the understanding of self-reliance.

References

U.S. Department of Homeland Security. (2004, December). National response plan. Washington, DC: Author.

U.S. Department of Homeland Security. (2008a, January). National response framework. Washington, DC: Author.

U.S. Department of Homeland Security. (2008b, December). National incident management system. Washington, DC: Author.

Walsh, D. W., Christen, H. T., Callsen, C. E., Miller, G. T., Maniscalco, P. M., Lord, G. C., & Dolan, N. J. (2012). National Incident Management System: principles and practice (2nd ed.). Sudbury, MA: Jones & Bartlett.

Public Health Risks in the 21st Century

Within the next 30 years, I foresee a significant public health risk of viral pandemic, a concern outlined in the recently published CISIS commission report (Fallon & Gayle, 2010). According to many, the next significant pandemic to be a global threat will occur anytime between now and 70 years (Gostin, 2004; Monto, Comanor, Shay, & Thompson, 2006; Ravilious, 2005; Smil, 2008; Tapper, 2006; Taubenberger, Morens, & Fauci, 2007). Although many scientists have their focus on influenza as the most probable for pandemic exposure, other novel virii, such as SARS, HIV, et al., have the facets to make them just as potentially significant (Gostin, 2004; Smil, 2008; Tapper, 2006). Regardless of the particular pathogen, history has shown pandemics to create and environment of negative net effects to humanity. According to Billings (1997) and Ravilious (2005), the Spanish influenza pandemic of 1918, caused by a mutated avian flu strain, claimed between 20-million and 40-million lives in a single year (Monto et al., 2006; Taubenberger et al., 2007). Spreading quickly along major international trade routes, the Spanish flu infected many servicemen returning from duty at the end of World War I. As these infected servicemen returned and celebrated the armistice in crowds of people, a severe strain on the public health system in the United States was unknowingly developing. Considering the hypervirilence and increased mortality (2.5%, compared to the typical 0.1%) caused by the 1918 Spaish flu, the world’s economy was in turmoil (Billings, 1997). As most of the American workforce was recently embroiled in overseas combat duty, upon their return they must now face the possibility of infection, an inability to work, and possible death.

Monto et al. (2006) outline a useful model of surveillance techniques that would not only be useful in detecting and improving response to influenza outbreaks, but it would certainly help to detect any new significant diseases that could be a public health risk and threaten a population or society. Additionally, Taubenberger et al. (2007) focuses on learning the biology of the influenza virus to predict the possibility of outbreak and, thus, pandemic potential. Coupling these two approaches makes sense to both identify potential pathogens and use surveillance techniques to track and direct responses to mitigate actual outbreaks as they occur. These efforts, however, should be directed by an organization that values independant operation, impartiality, neutrality, and universality, just a few of the principles of the Red Cross and Red Crescent movements (International Federation of Red Cross and Red Crescent Societies, 2010). Adoption of these principles will allow valuable health information to flow freely to other entities positioned to respond appropriately without regard to local politics, ensuring a just and equitable solution to help to mitigate the potential for great harm.

References

Billings, M. (1997/2005). The influenza pandemic of 1918. Retrieved from http://virus.stanford.edu/uda/

Fallon, W. J. & Gayle, H. D. (2010). Report of the CISIS commission on smart global health policy: A healthier, safer and more prosperous world. Washington, DC: Center for Strategic & International Studies.

Gostin, L. O. (2004). Pandemic influenza: Public health preparedness for the next global health emergency. The Journal of Law, Medicine & Ethics, 32(4), 565-573. doi:10.1111/j.1748-720X.2004.tb01962.x

International Federation of Red Cross and Red Crescent Societies. (2010, July). Haiti: From sustaining lives to sustainable solutions – the challenge of sanitation. Geneva, Switzerland: Author.

Monto, A. S., Comanor, L., Shay, D. K., & Thompson, W. W. (2006). Epidemiology of pandemic influenza: use of surveillance and modeling for pandemic preparedness. Journal of Infectious Diseases, 194(Suppl. 2), S92-S97. doi:10.1086/507559

Ravilious, K. (2005, April 14). What a way to go. The Guardian. Retrieved from http://www.guardian.co.uk/science/2005/apr/14/research.science2

Smil, V. (2008). Global catastrophes and trends: the next fifty years. Cambridge, MA: The MIT Press.

Tapper, M. L. (2006). Emerging viral diseases and infectious disease risks. Haemophilia, 12(Suppl. 1), 3–7. doi:10.1111/j.1365-2516.2006.01194.x

Taubenberger, J. K., Morens, D. M., & Fauci, A. S. (2007). The next influenza pandemic: Can it be predicted? Journal of the American Medical Association, 297(18), 2025–2027. doi:10.1001/jama.297.18.2025.

A Novel Approach to Combat Heart Disease

According to Hansson (2005), cardiovascular disease is fast becoming the number one killer in the world among in developing countries and the Western world, due mainly to the correlation of increased rates of obesity and diabetes (Haffner, Lehto, Rönnemaa, Pyörälä, & Laakso, 1998; Miller, 2011; Willer et al., 2008). The goal of eradicating heart disease by the end of the twentieth century has been missed as cardiovascular disease is still responsible for 38% of deaths in North America. There has been much research over the last three decades regarding correlations between cardiovascular disease, obesity, and diabetes. Miller et al. (2011) identifies, based on the current literature, a number of metabolic syndromes in which elevated triglyceride levels are responsible for significantly increasing the risk of cardiovascular disease and the risk of death from a cardiac event.

Risk factors for cardiovascular disease, including smoking, hypercholesterolemia, and diabetes, which have positive predictive value for CVD, include a positive family history, hypertension, male gender, and age (Haffner, Lehto, Rönnemaa, Pyörälä, & Laakso, 1998; Hansson, 2005; Koliaki, 2011).

Demographically, according to NHANES 1999-2008 (as cited in Miller, 2011), Mexican American men (50 to 59 years old, 58.8%) are at the greatest risk with the highest prevalence of elevated triglyceride levels ( 150 mg/dL) followed by (in order of decreasing prevalence) Mexican American women ( 70 years old, 50.5%), non-Hispanic White men (60 to 69 years old, 43.6%), non-Hispanic White women (60 to 69 years old, 42.2%), non-Hispanic Black men (40 to 49 years old, 30.4%), and non-Hispanic Black women (60 to 69 years old, 25.3%).

Haffner et al. (1998) describe the importance of lowering cholesterol levels in those with diabetes mellitus type II as they both contribute to increases in mortality and morbidity from cardiovascular disease; therefore, efforts should be focused on identifying risks to heart health starting at age 30 with concomitant risk factors of diabetes or dyslipidemia, or any combination of two or more identified risk factors. More specific screening should begin at age 40 with Mexican American males and all other demographics suffering from any one of the secondary risk-factors, and at age 50 with all other ethnic demographics, regardless of the presence of risk-factors.

Specific screening for the at-risk population should include diagnostic percutaneous transthoracic coronary angiography (PTCA) and angioplasty, if needed. PTCA is a method of introducing a catheter through an artery to the coronary arteries of the heart, guided by radiology, to diagnose specific narrowing of these vessels, at which time a repair (angioplasty) can proceed immediately. PTCA, according to Koliaki et al. (2011), is the gold standard of diagnosing the presence and degree of atherosclerotic CVD. Currently, the standard for initiating PTCA requires a more acute presentation, typically complaints of chest pain or some other cardiac related illness. However, the proven safety and efficacy of PTCA may allow it to be used more as a screening tool as well as a primary coronary intervention in acute cases.

Utilizing the diffusions of innovations model of behavior change, public health entities can provide specific information to encourage interventional cardiologists to employ this technique as a focused CVD screening tool for at-risk populations (“Culture and health,” 2012). Adoption, however, is conditional on remuneration; therefore, a public health task force at the national level should investigate the potential for spending versus savings, and if significant, should disseminate the information to third-party payors (heath insurance providers, etc.) to ensure coverage when required. Additionally, grassroots efforts should be two-pronged, focusing on both the affected communities and the physicians most likely to contact the at-risk community. For the at-risk community, using mass-media, the message should simply be to discuss your risk with your physician, stop smoking, eat healthy, and exercise. The message, itself, needs to be conveyed in an effective manner, however. For the physicians, using mass-mailing and professional development campaigns, the message needs to more complex outlining risk versus reward, cost-effectiveness, and the potential for impacting a growing trend of heart-related death and disability. The American Heart Association has a proven track record of effective mass-media campaigns as well as professional development programs. So long as PTCA can be considered as an effective and cost-saving screening tool, the American Heart Association should certainly be involved in sending the message out.

Like with the proliferation of television advertisement of pharmaceuticals, using diffusions of innovations, we can get the heart-healthy message to the communities that would most benefit and the providers who can facilitate appropriate and novel screening and treatment techniques. We have already failed to eradicate CVD by the turn of the century, but if we think outside the box and develop novel approaches to consider, we may still have a chance at effectively lowering the incidence and prevalence of CVD in the years to come.

References

Culture and health. (2012). Public health and global essentials (Custom ed.; pp. 213-226). Sudbury, MA: Jones & Bartlett.

Haffner, S. M., Lehto, S., Rönnemaa, T., Pyörälä, K., & Laakso, M. (1998). Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction. New England Journal of Medicine, 339(4), 229-234. doi:10.1056/NEJM199807233390404

Hansson, G. K. (2005). Inflammation, atherosclerosis, and coronary artery disease. New England Journal of Medicine, 352(16), 1685-1695. doi:10.1056/NEJMra043430

Koliaki, C., Sanidas, E., Dalianis, N., Panagiotakos, D., Papadopoulos, D., Votteas, V., & Katsilambros, N. (2011). Relationship between established cardiovascular risk factors and specific coronary angiographic findings in a large cohort of Greek catheterized patients. Angiology, 62(1), 74-80. doi:10.1177/0003319710370960

Miller, M., Stone, N. J., Ballantyne, C., Bittner, V., Criqui, M. H., Henry N. Ginsberg, H. N., … Council on the Kidney in Cardiovascular Disease (2011). Triglycerides and cardiovascular disease: A scientific statement from the American Heart Association. Circulation, 123(20), 2292-2333. doi:10.1161/CIR.0b013e3182160726

Willer, C. J., Sanna, S., Jackson, A. U., Scuteri, A., Bonnycastle, L. L., Clarke, R., … Abecasis, G. R. (2008). Newly identified loci that influence lipid concentrations and risk of coronary artery disease. Nature, 40(2), 161-169. doi:10.1038/ng.76

Appendix

P.E.R.I. Problem Identification

The health problem I have identified is cardiovascular disease (CVD). According to Hansson (2005), CVD was expected to be significantly reduced or eliminated by the turn of the century; however, cardiovascular disease remains one of the leading cause of death globally with a rise in obesity and diabetes incidence (Willer et al., 2008). The two primary factors contributing to CVD are thought to be hypercholesterolemia, or high cholesterol levels in the blood, and hypertension, or high blood pressure, and although Koliaki et al. (2011) shows no predictive value between obesity and CVD, there remains a strong correlation between obesity and diabetes (Haffner, Lehto, Rönnemaa, Pyörälä, & Laakso, 1998; Hansson, 2005). A better look at the emerging literature might provide insight as to why attempts to control cholesterol and blood pressure have largely failed to eradicate CVD.

Koliaki et al. (2011) contend that smoking, hypercholesterolemia, and diabetes have positive predictive value for CVD while a positive family history, hypertension, male gender, and age, though predictive, are significantly less specific. Considering the causative risk factors and admitting the difficulty in changing age, family history, and gender, altering smoking status, cholesterol levels, and severity of diabetes and blood pressure have all been shown to decrease the risk of CVD. However, like genetic factors such as family history and gender, researchers are finding difficulty in controlling cholesterol levels effectively in many patients, especially those with concommitant diabetes mellitus (Haffner et al., 1998; Willer, 2008). However, statin-type cholesterol-lowering medications appear to have other protective effects than merely lowering cholesterol (Hansson, 2005).

In order to combat the growing concern of cardiovascular disease and, ultimately, the increasing mortality from the same, the American Heart Association (AHA) has published a scientific statement paper regarding the latest literature and research (Miller et al., 2011). AHA has taken the lead in cardiovascular health and strives to promote best practices based on the available evidence. By promoting AHA’s position using mass-mailing campaigns to physicians practicing in primary care, emergency, cardiology, and endocrinology, we can be assured that the right message is being disseminated rapidly to those most inclined to intervene. As more physicans in the identified roles adopt the latest evidence-based practice, more at-risk patients can be screened for CVD and the contributing factors. As screening paradigms become more focused, more of the at-risk population will be identified sooner which will allow for earlier intervention decreasing overall mortality and morbidity from CVD.

P cardiovascular disease
E Causes: DM, type II; dyslipidemia (hypercholesterolemia); smoking; diet; exercise; gender; age
Burden: increasing mortality and morbidity globally
R Diabetes mellitus screening and control, HTN screening and control, statin-type medication prescription, PTCA screening recommendations, smoking cessation
I AHA position, public health mailing campaign, cadre of physician groups

Leadership & Character

Juxtaposing Two Renowned Leaders of Health

When considering leadership in health care, I think first of how that leadership has affected health care in particular. Being a leader in health care does not guarantee great impact; however, an effective leader can have great impact over a large scope. This is how I framed my search to find two leaders in health care to highlight in this paper.

The first leader of health care that I will discuss is Clara Barton. According to Chambers (2002), Barton, independent to a fault, has been described as having a persuasive power about her. A fairly timid girl, Barton had self-image problems growing up that were at times debilitating; however, it seemed that as long as her interest was in helping others Barton performed selflessly, with heroism and bravado usually reserved for men during the time. Barton, a school teacher, found herself in the middle of the Civil War caring and tending to the soldiers on the battlefield. Dubbed the angel of the battlefield, Barton would not cease in caring for the soldiers even under enemy fire.

Barton, according to Chambers (2002) was not a very effective manager, but she could convince anyone to do anything that she needed to get done, it was said. Barton presents with a leadership style that is transformational (Robbins & Judge, 2010). She sees a need and immediately works to fill the void, inspiring others to do the same. Barton was ultimately responsible for founding the American Red Cross, a neutral organization that today responds to over 67, 000 disasters per year providing medical supplies, food, and housing in order to promote health equity even during wartime. Barton was a socialized charismatic leader, and her accomplishments are truly inspirational (Robbins & Judge, 2010).

The second leader of health care, more so in death than in life, that I chose to discuss is Johns Hopkins. Most people are familiar with Johns Hopkins Hospital and Johns Hopkins University, but it might be surprising to know that these namesakes were only made possible by the posthumous gift of $7-million from Hopkins’s estate (Herringshaw, 1901; “Johns Hopkins,” 1891). Hopkins started life from an affluent family, but a choice to free the family’s slaves forced Hopkins out of his formal education to help on the family tobacco farm. Since leaving the family farm, it seemed, by all accounts, that Hopkins had an innate ability for business (“Johns Hopkins,” 1891). Hopkins became very successful in business early in his lifetime, and he always tried to return his good fortune to the community. This innate ability for business, along with his unwavering business ethics, would seem to make Hopkins a likable and well-respected leader, possibly invoking a sense that he was born with these traits (Borgatta, Bales, & Couch, 1954; Cawthon, 1996; Robbins & Judge, 2010). It was in the spirit of community leader that Hopkins fulfilled his final philanthropy by funding an orphanage, a university, colleges, and a hospital that to this day is world-renowned. Johns Hopkins was an authentic leader (Robbins & Judge, 2010).

Whether a leader is naturally born with certain traits or learns behaviors from their environment, what matters most is that they be prepared to lead when the time comes. Without the onus of personal responsibility, no true leaders can exist.

References

Borgatta, E. F., Bales, R. F., & Couch, A. S. (1954). Some findings relevent to the great man theory of leadership. American Sociological Review, 19(6), 755-759. doi:10.2307/2087923

Cawthon, D. L. (1996). Leadership: the great man theory revisited. Business Horizons, 39(3), 1-4. doi:10.1016/S0007-6813(96)90001-4

Chambers, L. (2002). Fearless under fire. Biography, 6(4), 64-67, 96-97.

Herringshaw, T. W. (Ed.). (1901). Johns Hopkins. Herringshaw’s encyclopedia of American biography of the nineteenth century. Retrieved from http://books.google.com/

Johns Hopkins. (1891). The national cyclopaedia of American biography (Vol. 5). Retrieved from http://books.google.com/

Robbins, S. P. & Judge, T. A. (2010). Leadership. Essentials of Organizational Behavior (pp. 159-180). Upper Saddle River, NJ: Pearson Prentice Hall.

Determinants of Health – Mental Illness

When attempting to solve many of the issues relevant to public health, it is essential to understand the factors that contribute to disparities across various ethnic, racial, cultural and socioeconomic boundaries (Satcher & Higginbotham, 2008). In northeastern Connecticut, however, health disparities are primarily related to the socioeconomic strata, as much of the population is Caucasian and there are identifiable health disparities within this group (U.S. Census Bureau, 2002, 2008; U.S. Department of Health and Human Services, 2009). The disparity that I will focus on in this paper is mental illness.

According to Adler and Rehkopf (2008), unjust social disparity leads to greater health disparity, but what is unjust about social disparity? Adler and Rehkopf continue to describe efforts of researchers to evaluate how socioeconomic status, both, in conjunction with and independent of race or ethnicity, contribute to health disparities. There exists a significant difference in the manner in which different cultures approach mental health needs (Hatzenbuehler, Keyes, Narrow, Grant, & Hasin, 2008). Whites, who are more prone to suffering mental health issues, according to McGuire and Miranda (2008), preferring to seek professional care while Blacks are more likely to opt for self-directed care. Though Wang, Burglund, and Kessler (2001) tell of mental health treatment disparities between Whites and Blacks, in their study, 14 times more Whites responded than Blacks which may suggest that Whites are more apt to discuss mental health issues and Blacks might not unless they are motivated by extrinsic factors, such as poor care or the impression thereof. As long as Blacks are not prevented or discouraged from seeking care, there is no injustice in choosing self-care; however, it may not be the most effective option. Cultural awareness on the part of health care providers who may have an opportunity to provide health education to Blacks may alone increase the utilization of mental health services among the Black demographic.

More importantly, mental illness often exists in the presence of poverty and the lack of education. Much of the literature, such as Schwartz and Meyer (2010), seems to make the implication that low socioeconomic status is a causative risk-factor for mental illness, yet the literature also makes the distinction that one of the lowest groups on the socioeconomic ladder, Blacks, have a lower incidence, overall, of mental illness. This may be true in some instances; however, it is more likely that mental illness may be the proximal cause for an afflicted person’s socioeconomic status, especially if the illness manifested early enough to interfere with the person’s education.

More research needs to be undertaken to identify effective programs that aim to mitigate bias of mental health conditions within the community. As mental health disorders lose their stigma, more people who suffer from mental health issues will be able to seek care comfortably and unafraid, leading to increased treatment rates and increased synthesis within the community. This synthesis alone would alleviate much of the socioeconomic burden. Additionally, we need to shift our focus and strive to fix health issues locally, not nationally or globally. The world is comprised of a network of communities of individuals. Impacting the individual is the first step to affecting positive social change. Focusing on individual health will ultimately impact community, national, and global health.

The U.S. Health care system is overtaxed in caring for people with mental illness. According to Insel (2008), we need to refocus our efforts on providing care for mental illness to reduce the enormous indirect costs estimated at $193.2-billion per year. A viable solution in addressing mental illness as a health disparity, I feel, lies in understanding the manner that mental illness causes lower socioeconomic status which, in turn, causes risk of disparate care. Programs designed to aim for situational mitigation instead of mental health recovery will be less costly, more effective and, overall, more ideal. There will still be an obvious and great need for treatment and recovery programs, but with mitigation, I posit that they will be more effective, also.

References

Adler, N. E. & Rehkopf, D. H. (2008). U.S. disparities in health: descriptions, causes, and mechanisms. Annual Review of Public Health, 29(1), 235-252. doi:10.1146/annurev.publhealth.29.020907.090852

Hatzenbuehler, M. L., Keyes, K. M., Narrow, W. E., Grant, B. F., & Hasin, D. S. (2008). Racial/ethnic disparities in service utilization for individuals with co-occurring mental health and substance use disorders in the general population. Journal of Clinical Psychology, 69(7), 1112-1121. doi:10.4088/JCP.v69n0711

Insel, T. R. (2008). Assessing the economic costs of serious mental illness. American Journal of Psychiatry, 165, 663-665. doi:10.1176/appi.ajp.2008.08030366

McGuire, T. G. & Miranda, J. (2008). New evidence regarding racial and ethnic disparities in mental health: policy implications. Health Affairs, 27(2), 393-403. doi:10.1377/hlthaff.27.2.393

Newport, F. & Mendes, E. (2009, July 22). About one in six U.S. adults are without health insurance: Highest uninsured rates among Hispanics, the young, and those with low incomes. Gallup-Heathways Well-Being Index. Retrieved from http://www.gallup.com/poll/121820/one-six-adults-without-health-insurance.aspx

Satcher, D. & Higginbotham, E. J. (2008). The public health approach to eliminating health disparities. American Journal of Public Health, 98(3), 400–403. doi:10.2105/AJPH.2007.123919

Schwartz, S. & Meyer, I. H. (2010). Mental health disparities research: The impact of within and between group analyses on tests of social stress hypotheses. Social Science and Medicine, 70, 1111-1118. doi:10.1016/j.socscimed.2009.11.032

U.S. Census Bureau. (2002). Census 2000. Retrieved from http://www.ct.gov/ecd/cwp/view.asp?a=1106&q=250616

U.S. Census Bureau. (2008). Population estimates: Annual estimates of the resident population by age, sex, race, and Hispanic origin for counties in Connecticut: April 1, 2000 to July 1, 2008 [Data]. Retrieved from http://www.census.gov/popest/counties/asrh/files/cc-est2008-alldata-09.csv

U.S. Department of Health and Human Services. (2009). Community health status indicators report. Retrieved from http://communityhealth.hhs.gov/

Motivation: A Career that I Enjoy

I am lucky to work in a career that I absolutely enjoy. As a paramedic in the emergency medical services (EMS), I am called upon to help those in my community in the worst of circumstances to help them when they feel helpless. There are drawbacks, however. Many people rely on EMS for problems that even they do not view as emergent, and others just plainly abuse the system. Still, I enjoy being the one called upon to help. My primary motivations are my sense of community, my ability to reduce suffering, and my ability to raise the standard of care within the system. Maslow (1943) includes some of the earliest accepted work on motivational theory, and more contemporary work is based on the acceptance, rejection or modification of his theories, so I will focus on Maslow to begin. My needs, according to Maslow, are not as important to motivation. Need fulfillment will not motivate me to perform; however, a lack of fulfillment may prevent me from performing. This is especially true for Maslow’s lower-order needs. Maslow discusses how emergency situations can “obscure the ‘higher’ motivations [and create] a lopsided view of human capacities and human nature” (p. 375), and while my career is focused on responding to emergencies, this may hold true for me. While Maslow’s theory is not wholly accepted motivational schema (Robbins & Judge, 2010), EMS managers, and other public safety managers, would do well to understand this exception to motivational theory.

Many EMS managers, it seems, subscribe to McGregor’s (1957/2000) theory X without understanding the ramifications or the competing theory Y. There is a deep-seated belief that the workforce is lazy and will do anything possible to undermine the operation. This results in micromanagement tactics that seem to promote an unwillingness to promote the goals of the employer. McGregor highlights this and cautions that it a result of poor management technique, not a cause that is easily rectified by the chosen technique.

Other theories, such as goal-setting, equity theory, and expectancy theory, as described in Robbins and Judge (2010), are all lacking in one particular constant: there is no constant in human behavior. There are a number of ways that a single motivational factor might influence a particular person on any particular day. For any theory to always be true in every situation, it would cease to be a theory and become a law. This being said, as managers, we need to measure the importance of certain tasks and focus our efforts on communicating this importance to the workforce. It is the manner of this communication that will tend to fail or succeed, based on both the needs of the manager and the needs of the employee at the moment the message is passed.

References

Maslow, A. H. (1943). A theory of human motivation. Psychological Review, 50(4), 370-396. doi:10.1037/h0054346

McGregor, D. (2000). The Human Side of Enterprise (Reprinted from Adventure in thought and action: Proceedings of the fifth anniversary convocation of the School of Industrial Management, Massachusetts Institute of Technology, Cambridge, 1957, April 9. Cambridge, MA: MIT School of Industrial Management). Reflections, 2(1), 6-14. doi:10.1162/152417300569962

Robbins, S. P. & Judge, T. A. (2010). Motivation concepts. Essentials of organizational behavior (pp. 62-79). Upper Saddle River, NJ: Pearson Prentice Hall.

Community Health: How Healthy is My Community?

I currently reside in Windham County, Connecticut. Windham County is primarily rural with one community, Willimantic, comprising most of the urban demographic. Windham County is functionally divided in half (north to south) in regards to health and hospital services. Primarily, Windham Community Memorial Hospital serves the west and Day Kimball Hospital serves the east. Accordingly, the eastern and western portions of the county may not be representative of each other, yet both are represented as a singular group when considering county-based statistics. This is a shortcoming of county-based statistics. In this instance, Willimantic, in the western portion of Windham County, may negatively affect the statistics of towns like Killingly, Pomfret, and Putnam, in the eastern portion of the county, due primarily to an increase in impoverished populations residing in Willimantic (U.S. Census Bureau, 2002). Additionally, data is lacking for a number of measures, according to the Community Health Status Indicators Project Working Group (2009), but continuing efforts will be made to increase reporting over time.

According to the U.S. Census Bureau (2008) and the U.S. Department of Health and Human Services (2009), the population of Windham County is 117,345 and is predominantly white (94.3%) with the remaining (5.7%) divided among, in order of predominance, Hispanics, Blacks, Asians and Pacific Islanders, and American Indians. The particularly vulnerable populations identified are adults age 25 and older who do not hold a high school diploma, are unemployed, are severely disabled and unable to work, suffer major depression, or have recently used illicit drugs. The uninsured rate in Windham County is well below the 16% national average at 9.5% (Newport & Mendes, 2009; U.S. Department of Health and Human Services, 2009).

Windham County fares equal or better in most measures, at least within the margin of error; therefore, I feel that Windham County, though not exceptionally healthy, is better than most and striving to meet the national standards (U.S. Department of Health and Human Services, 2009). For example, though the incidence of cancer and subsequent death resulting remains higher than peer counties, Windham County falls well within the expected range of death measures and exceeds peer counties in homicide, stroke, suicide, and unintentional injuries. Windham County also falls below the national standardized target for both stroke and coronary heart disease deaths. Infant mortality and birth measures seem representative of peer counties. Windham County also meets or exceeds environmental standards in all cases except for two reports of E. coli infections. There were also reports of five cases of Haemophilus influenzae B, two cases of Hepatitis A, and three cases of Hepatitis B — the only unexpected cases of infectious diseases reported. Pertussis incidence was limited to 25% of expected cases.

Windham County is not exceptional, but living here gives me the sense that the focus is on preventative care rather than acute care, which might explain how the health goals are being achieved overall. The report from the U.S. Department of Health and Human Services (2009) is in agreement.

References

Community Health Status Indicators Project Working Group. (2009). Data sources, definitions, and notes for CHSI2009. Retrieved from http://communityhealth.hhs.gov/

Newport, F. & Mendes, E. (2009, July 22). About one in six U.S. adults are without health insurance: Highest uninsured rates among Hispanics, the young, and those with low incomes. Gallup-Heathways Well-Being Index. Retrieved from http://www.gallup.com/poll/121820/one-six-adults-without-health-insurance.aspx

U.S. Census Bureau. (2002). Census 2000. Retrieved from http://www.ct.gov/ecd/cwp/view.asp?a=1106&q=250616

U.S. Census Bureau. (2008). Population estimates: Annual estimates of the resident population by age, sex, race, and Hispanic origin for counties in Connecticut: April 1, 2000 to July 1, 2008 [Data]. Retrieved from http://www.census.gov/popest/counties/asrh/files/cc-est2008-alldata-09.csv

U.S. Department of Health and Human Services. (2009). Community health status indicators report. Retrieved from http://communityhealth.hhs.gov/

Long-term care versus acute care

This discussion, again, allows me to ponder some musings of my colleagues and consider them in scholarly reflection. As a paramedic, I frequently respond to skilled nursing facilities (SNFs) to care for patients with minimal medical complaints or exacerbations of chronic conditions. The comments are always the same: What is the point of having nurses here if they cannot care for their patients? As I have never had an acceptable answer to this quandary, I will use this opportunity to explore the usefulness of SNFs based on measured outcomes. I will also compare the abilities of acute care facilities (ACFs) with those of SNFs to weigh the appropriateness of relying on ACFs to care for SNF patients.

The leading number of long-term care facilities are elderly SNFs, and as such, the elderly are the major demographic cared for in SNFs, yet there is a shortage, even within SNFs, of health care providers skilled in geriatric care (Cohen, 2002; Gaugler, Duval, Anderson, & Kane, 2007; Shi & Singh, 2011b). As Gaugler, Duval, Anderson, and Kane (2007) describe, the mere admission of an elderly patient into an SNF is associated with poor outcomes, “questionable quality of care, early mortality for many residents, and psychological or emotional upheaval for caregiving families” (p. 14). As long-term care also includes varying degrees of home care, family care, and limited residential care (e.g. assisted living centers), an international effort has been underway to help determine ways of identifying and limiting SNF admissions in order to limit potential negative outcomes and maintain patients’ self-efficacy and quality of life (Kennedy et al., 2007).

SNFs and ACFs are similar in that they both house patients, have nursing staff, are demographed by the number of beds housed, and, typically, have some sort of medical team responsible for the patients’ overall care. ACFs are numerous in type and offering. General hospitals, specialty hospitals, free-standing emergency clinics, and tertiary care centers are just some of the ACFs available to treat illness and injury (Shi & Singh, 2011a). ACFs tend to focus treatment on acute manifestations of illness and injury, while SNFs (and other long-term care facilities) focus on continuing care for chronic maladies (Shi & Singh, 2011a, 2011b; Singh, 2011). While ACFs rely on outcome measures to improve the care that is offered, such as that in stroke, it appears that SNFs and other long-term care facilities operate on a more traditional sense without regard to their effect on patient outcomes (Ahmed & Ekundayo, 2009; Díez-Tejedor & Fuentes, 2001; Kennedy et al., 2007; Martin & Ancoli-Isreal, 2008).

As I contemplate my original question in light of the available literature, I find that the elderly should only be institutionalized as a last resort (e.g. lay-led self-care, home health care, independant or assited living), training in geriatric care needs to be improved within SNFs, and outcome measures need to be further developed and assessed to fully understand the impact of long-term care on the elderly population (Ahmed & Ekundayo, 2009; Cohen, 2002, Gaugler et al., 2007; Kennedy et al., 2007, Martin & Ancoli-Israel, 2008). Until these three issues are rectified, SNFs will need to rely on ACFs to safely, effectively, and efficiently care for their patients.

References

Ahmed, A. & Ekundayo, O. J. (2009). Cardiovascular disease care in the nursing home: The need for better evidence for outcomes of care and better quality for processes of care. Journal of the American Medical Director’s Association, 10(1), 1-3. doi:10.1016/j.jamda.2008.08.019

Cohen, J. J., Gabriel, B. A., & Terrell, C. (2002). The case for diversity in the health care workforce. Health Affairs, 21(5), 90-102. doi:10.1377/hlthaff.21.5.90

Díez-Tejedor, E. & Fuentes, B. (2001). Acute care in stroke: Do stroke units make the difference? Cerebrovascular Diseases, 11(Suppl. 1), 31-39. doi:10.1159/000049123

Gaugler, J. E., Duval, S., Anderson, K. A., & Kane, R. L. (2007). Predicting nursing home admission in the U.S: a meta-analysis. BMC Geriatrics, 7(1), 13-26. doi:10.1186/1471-2318-7-13

Kennedy, A., Reeves, D., Bower, P., Lee, V., Middleton, E., Richardson, G., … Rogers, A. (2007). The effectiveness and cost effectiveness of a national lay‐led self care support programme for patients with long‐term conditions: a pragmatic randomised controlled trial. Journal of Epidemiology and Community Health, 61(3), 254–261. doi:10.1136/jech.2006.053538.

Martin, J. L. & Ancoli-Israel, S. (2008). Sleep disturbances in long-term care. Clinical Geriatric Medicine, 24(1), 39–vi. doi:10.1016/j.cger.2007.08.001.

Shi, L. & Singh, D. A. (2011a). Inpatient facilities and services. Current issues in healthcare policy and practice (pp. 1-44). Sudbury, MA: Jones & Bartlett.

Shi, L. & Singh, D. A. (2011b). The future of health services delivery. Current issues in healthcare policy and practice (pp. 123-156). Sudbury, MA: Jones & Bartlett.

Singh, D. A. (2011). Overview of long-term care. Current issues in healthcare policy and practice (pp. 123-156). Sudbury, MA: Jones & Bartlett.