Hotel Rwanda Essay example - 1565 Words

I decided to surf the internet in search of inspiration, and I found it on the mediate.com website. Robert Benjamin’s article â€Å"Hotel Rwanda and the Guerrilla Negotiator† definitely caught my eye†¦particularly since I had checked the DVD out from the library last Friday but hadn’t yet watched it. Benjamin’s article piqued my interest enough to do some additional research on Rwanda, and passion was born. While a colony of Belgium, Rwanda was separated into two tribal groups which many say was based on physical characteristics such as the wideness of the nose: the common Tutsi (majority), and the upper-class Hutu (minority). For many years, the Tutsis were powerful and mistreated the Hutus. In 1962, Rwanda gained its independence from†¦show more content†¦As the UN refugee camp reached overload, Rusesabagina is continually asked to provide sanctuary for more Tutsi refugees. Through continued wheeling, dealing, and manipulation, Rusesabagina is directly responsible for saving the 1,268 lives. He and his wife adopted two surviving nieces and now reside with them and their own three children in Belgium. Benjamin points out that almost every scene in the film showcases the power of negotiation â€Å"as a means of survival even in the face of vile and irrational human behavior†, adding â€Å"there is much to be gleaned from the gritty style of negotiation that is compelled in those circumstances.† Benjamin calls this â€Å"guerrilla negotiation†, adding â€Å"borne out of necessity, not ideology, he or she operates solely by their own wits, earning credibility and trading on their ability to convey a personal sense of authenticity.† Armed with Benjamin’s perspective in my mind, I found it easy to spot the ongoing negotiation he noted†¦and just as easily realized I probably wouldn’t have categorized it as such if I hadn’t read the article first. Clearly, Rusesabagina reads people exceedingly well, recognizes what it will take to get what he wants/needs from them, masterfully communicates what they need to hear, and triumphs. Perhaps the most moving example in the movie is when Rusesabagina is ordered to execute his own family and instead manages to buy their safety.Show MoreRelated Hotel Rwanda Essay607 Words   |  3 PagesHotel Rwanda Some people can’t resist trying to be someone they really aren’t. In the film Hotel Rwanda, the main character changed his own styles just to fit in with the Europeans and think that the Europeans will treat them as if he was a real European. And when times of crisis come along, he finds out that the Europeans have always looked down at them. After that, he understands that what he’s been doing was not himself and he changes. Paul RusesabaginaRead MoreEssay on Rwanda Genocide Compared with Hotel Rwanda2521 Words   |  11 Pagescentral African country of Rwanda. The Hutus and the Tutsis, two ethnic groups within Rwanda, have been at continual unrest for the past half a century. During the 100 day massacre of 1994, a murder occurred every two seconds; resulting in 18% of the Tutsi population being killed. A decade after the war, in 2004, the film Hotel Rwanda was released. The film followed the story of a Hutu man; Paul Rusesabagina as he housed over 1200 Tutsi refugees in his hotel. The Hotel De Milles Collines, a five-starRead MoreMovie Analysis : Hotel Rwanda1519 Words   |  7 PagesThe based on a true story trademark of the film Hotel Rwanda has implications for genocidal memory, post genocidal peace and reconciliation, and the promotion of heroism amid the udder chaos that engulfed the country. The film ultimately illustrates an oversimplified, ideologically driven version of the 1994 mass acre. It emphasizes the role of a Hollywood hero, rather than the deeply rooted and complex factors at the center of the violence, leading to popular opinion of the Hutu population as barbaricRead MoreMovie Report : On The Hotel Rwanda1237 Words   |  5 Pages For my movie report I watched the the film on the Hotel Rwanda (2004), which follows the true-life story of the war in Rwanda between the Hutu and Tutsi tribes. When the Hutu tribe wants redemption from the Tutsi rule which left them in repression by the Belgiums, the Hutu’s create violent militas, war gangs, and set out to murder almost a million people in the length of this awful genocide that the UN restrained from becoming involved in. Once the assassination of the President Habyarimana occursRead MoreMovie Review : Hotel Rwanda2038 Words   |  9 PagesHotel Rwanda is a film that made me cry many times throughout the film. This film most definitely goes to show how cruel many people in this world can be. This fi lm is about the genocide in Rwanda where thousands of Tutsi’s were killed because they were being blamed for everything going wrong in the country. It appears that many people want someone to blame for their own losses and troubles so they will go as far as to attempt to murder a whole group of people. In Hotel Rwanda, the film begins withRead MoreHotel Rwanda By Terry George975 Words   |  4 PagesPossibly the saddest and most tragic event that occurred in the last few decades was the genocide of the Tutsi population in Rwanda by the Hutu led government and Hutu people of the same country. Hotel Rwanda by Terry George is a film adaption of the experiences of a Tutsi hotel manager Paul Rusesabagina who sheltered and kept safe several thousand Hutu refugees during the genocide. This film clearly portrays its major themes such as ethnic conflict, the lack of human rights, and many other socialRead MoreTaking a Look at Hotel Rwanda600 Words   |  2 Pagesreceived from the Tutsis, they did not even initiate themselves to come help the Tutsis. This is viewed as such a bad thing that they did due to them obviously not being all together and apart of the same group because they did not even go to help Rwanda when they claimed that they would be the ones to help keep peace between eve ryone. It took a long time for the UN to actually step in, this is inferred through the movie and the 100 days that the genocide lasted, just think if the UN would of steppedRead MoreDr. Morris s Hotel Rwanda1067 Words   |  5 PagesMorris Video Review Paper Hotel Rwanda The Rwandan genocide occurred in 1994 between the two prevalent ethnic groups in Rwanda, the Hutu and the Tutsi. Hotel Rwanda documents the plight of Paul Rusesabagina, a hotel manager, who opens his hotel as a shelter for the Tutsi people during the Rwandan genocide, saving thousands of lives in the processes. Through bribes Rusesabagina was able to keep thousands of Tutsi people from death. Like many other African states, Rwanda was colonized by a EuropeanRead MoreNight and Hotel Rwanda Similarities Essay1009 Words   |  5 PagesNight and Hotel Rwanda Similarities Throughout the course of humanity, we have experienced terrible transgressions in our society. Although they took place sixty-one years apart, similar horrific events from the Holocaust (1933-1945) and the Rwandan Genocide (1994) occurred. In Night, the Holocaust was the systematic, bureaucratic, state sponsored persecution and murder of approximately 6 million Jews by the Nazi regime and its collaborators. The Nazis believed they were â€Å"racially superior†Read MoreMy Personal Reaction On Hotel Rwanda Essay933 Words   |  4 Pages Hotel Rwanda Introduction In this essay I will write of my personal reaction on the movie Hotel Rwanda. This movie left me with a plethora of mixed emotions. Yet, it taught me many lessons on life and the world. From its historical background to its most recent movie filmed in 2004. Background Information Mille Collines was the main setting of this movie. It was a four-star hotel located in Kigali, Rwanda where Americans, French, and many more tourists would go for a calm oasis. Kigali

The Gods, and Zeus Especially, as Spectators in the Iliad

As spectators we are normally passive onlookers of the action taking place. The only influence we can have over the outcome is by making the participants aware of our support by cheering, or of our anger and frustration at an action by chanting and booing. We place our trust in the officials and referees to ensure that strict guidelines and rules are adhered to throughout the action. As spectators we are also commentators expressing our opinions regarding the actions of the participants and the officials. As spectators we can empathise with the emotions of the participants and feel extreme jubilation or extreme disappointment depending on whether you are supporting the winning or losing side. In this essay I will be discussing whether the†¦show more content†¦Let us then go away and sit down together off the path at a viewing place, and let the men take care of the fighting’ (20.135-137), and Apollo and Ares also stop fighting, ‘so they on either side took thei r places, deliberating counsels, reluctant on both sides to open the sorrowful attack’ (20.153-155). But Zeus was not happy about this and ‘sitting on high above urged them on’ (20.155). Zeus is the main spectator, whose role it is to act as the impartial ‘referee’ ensuring that the laws of the universe are observed. These laws known as ‘the justice of Zeus’ (1.239) fall into two categories; natural law or ‘the divinely appointed order of the universe’ and moral law, whereby Zeus ‘punishes, late or soon, a man who has done injustice to another, either in his own person or in that of his descendants’. But sometimes Zeus forgets the rules of natural law, and has to be challenged by Hera and the other gods to ensure that every human’s predestined fate is allowed to follow its natural course. When, in Book 4, Zeus suggests ending the war by giving victory to Menelaus and saving the lives of many of Trojan peoples, Hera rebukes him with ‘Do it then; but not all the rest of us gods will approve you’ (4.29). The most tragic decision Zeus has to make is when his own son Sarpedon is being mortally wound ed in Book 16 and he ponders, ‘whether I should snatch him out of the sorrowful battle and set him down still alive in the rich country ofShow MoreRelatedThe Temple Of Zeus At Olympia, Heroes, And Athletes1693 Words   |  7 Pages Idara Rodriguez. Review of J.M Barringer, â€Å"The Temple of Zeus at Olympia, Heroes, and Athletes†, 2005, pp. 211-241 I chose to review Judith Barringer’s article on the topic of why the sculpture works inside the Temple of Zeus should be looked at as a whole collective ensemble. This is because they would provide insight into how these works were seen and how they were closely related to Olympia and all the activity that occurred there. Judith Barringer also discusses how these sculptures literallyRead MoreGreek Mythology8088 Words   |  33 Pagessuggest  the  former  grandeur  of  the  ancient  temple.   Bernard  Cox/Bridgeman  Art  Library,  London/New  York   Greek  Mythology,  set  of  diverse  traditional  tales  told  by  the  ancient  Greeks  about  the  exploits  of  gods   and  heroes  and  their  relations  with  ordinary  mortals.   The  ancient  Greeks  worshiped  many  gods  within  a  culture  that  tolerated  diversity.  Unlike  other  belief   systems,  Greek  culture  recognized  no  single  truth  or  code  and  produced  no  sacred,  written  text  like   the  Bible  or  the  Qur’an.  Stories  abRead MoreEugene O’neill and the the Rebirth of Tragedy a Comparative Survey on Mourning Becomes Electra and Oresteia2317 Words   |  10 Pagesideas of the German critique and philosopher guided his dramatic works, in which he manifested the ability to adapt the defining characteristics of the classical tragedy to a modern script and audience. Thus, it is not surprising that we encounter God Dio nysus in â€Å"Lazarus Laughed† (1928) or an adaptation of Oedipus’ character in â€Å"Desire Under the Elms(1924). As for â€Å"Mourning Becomes Electra† (1931), O’Neill explores Greek tragedy, attempting to modernize it. The play is based on Aeschylus’sRead MoreHistory of Theatre Lesson Notes Essay5401 Words   |  22 Pagesancient Egypt become relatively static after a period of dynamisms and these ten to establish and perpetuate ritualized conventions that alter little over centuries of time. Western myth-dominant concern is the relationship between two types of beings-god and humans-and the tension between the roles assigned to each, world came to be seen primarily from the human point of view-as a place of conflict, change, and progress-with humanity as the principal agent both for good and evil. Eastern myth-people

Quantitative Tools Addressing Readmissions -Myassignmenthelp.Com

Question: Discuss About The Quantitative Tools Addressing Readmissions? Answer: Introduction: Repeated hospitalisation is mainly dependent on the type and severity of psychiatric disorder. Repeated hospitalisation also reflects environmental and social aspects. Along with this, it also reflects deficiencies in pre and post discharge treatment. Readmissions can affect both patients and their families and hospitals1. Both patient families and hospital can experience psychological strain and financial burden. Hospital readmissions can be prevented by providing holistic care during the hospital stay, planned discharge and transition and adequate follow-up. Reduction in the hospital readmissions can be helpful in improving acceptance of the psychiatric patient in the society and improving confidence of the patient2. Usually, hospital readmissions within 30 days is considered as poor clinical outcome in case of psychiatric disorders. This accounting outcome might be due to inadequate community-based care after discharge, self-care and difficulties in adherence to the psychiatric medication. It has been estimated that approximately 9 % patients with principal mood disorders were readmitted and 12 % patients with any diagnosis of mood disorders were readmitted. It has been estimated that approximately 16 % patients with principal schizophrenia were readmitted and 19 % patients with any diagnosis of schizophrenia were readmitted. Adequate care at home can be used as a good indicator for reduced readmission for psychiatric disorders. However, it has been estimated that only 1 6 % patients with mood disorders and schizophrenia receive proper care at home3. Initial cost for the management of psychiatric disorders is lower as compared to the other conditions. However, readmission cost for psychiatric d isorders is more as compared to other disorders. As compared to other conditions, patients with psychiatric conditions like mood and schizophrenia are with more discharge disposition of home-care or self-care. 89 % patients with mood disorders and 78 % patients with schizophrenia are with discharge disposition of home-care or self-care. 62 % patients with other than psychiatric conditions are with discharge disposition of home-care or self-care4. Mood disorder and schizophrenia are the major causes of hospital readmissions along with other causes like alcohol related disorders and substance related disorders. Male patients (14 %) are more prone to readmissions as compared to the female patients (12 %). 12.5 %, 14.5 % and 12.6 % patients were readmitted between age group 18-44, 45-64 and above 65 respectively. Patient level predictors of hospital readmissions can be confounding however system level predictors like capacity, structure or treatment of organisation can be definite predictors of hospital readmissions. Patient level predictors like length of stay and patient receiving aftercare are the confounding predictors of hospital readmissions. To determine whether counselling delivered telephonically by mental health professional instantly followed by discharge is efficient in reducing risks of hospital readmissions according to interRAI MH. Design and setting: A matched cross over study will be implemented for the reduction of hospital readmission for psychiatric patients. This pre-post-test design study will be conducted between January 1, 2016 to October 31, 2016. Pre and post test, can be helpful in evaluating impact of intervention because parameters prior to and after completion of intervention can be compared in the same population. Pre and post intervention can be useful in measuring value addition to the samples in the programme. This programme will be implemented in the 15 hospitals of the Ontario Hospital Association and Health Quality Ontario. Evaluation of the implemented programme will be carried out between January 2016 to October 2016. In this study, 2000 patients will be enrolled from the different Ontario Hospitals based on the mentioned exclusion and inclusion criteria. These number of patients will be enrolled because it will give power for statistical significance. Out of these, 1000 patients will be randomised to the c ontrol arm. For control arm patients, normal discharge will be provided followed by normal care. Remaining 1000 patients will be randomised to intervention arm and to these patients normal discharge will be provided followed by telephone based . Telephone based counselling will be provided for the duration of 4 weeks. Blocked randomisation schedule and two sets of sealed envelopes will be prepared for the randomisation. One set of envelop will be labelled as control arm and another as intervention arm. Patients will be allowed to open the folders and they will be allocated to control and intervention arm based on their envelops5. Inclusion criteria: Patients enrolled in the study need to meet following criteria : a) all the patients should be above age 18 years, b) should be admitted to the hospital for more than 4 hours, c) patients should be discharged home, d) should have working telephone, e) should speak English, f) devoid of medical record of cognitive impairment, g) screen positive for mood disorder and schizophrenia and g) should have life expectancy of more than 90 days. Exclusion criteria: a) patient should not be planned for inpatient rehabilitation, nursing home or other healthcare facilities after discharge, b) suicidal tendency, c) alcohol and/or drug dependence, and d) in police custody6. Strengths and limitations: Strengths: Environmental factors can influence internal validity of study design. However, in this study, control group will be incorporated along with intervention group. Hence, it would be helpful in neutralising environmental effect. Population external validity will be the strength of this study because results of this study can not be generalised to patients without intervention for psychiatric disorders. Limitations: Maturation and carryover effect can affect internal validity in this study design. Maturation can occur due to change in participants for pre-test to post-test. Carryover effect occur due to influence of pre-test on the outcome of post-test. Ecological external validity can be limitation in this study design because home environment can be different from the hospital environment7, 8. Though this study is associated with limitations, this study is more useful as compared to other designs because it gives data about the real world study. Results of this study can be used as evidence for the future studies. Control and intervention groups can be compared in this study. Statistical power can be obtained in this study. Rationale for evaluation programme: Data related to hospital readmissions will be collected for the duration of 6 months. Evaluation of the programme will be helpful for the amendment and improvement of the evaluation programme. For the reduction of the hospital readmissions, counselling should be provided to the patients and family members. Hence, telephone-based counselling will be provided to reduce risk of hospital readmissions. Risks of readmissions include interRAI variables like prior hospitalizations, greater severity in several clinical conditions such as psychosis, presence of a secondary substance use diagnosis, and being unemployed. Counselling will comprise of aspects like improve patient engagement and adherence to the intervention9. Data collection: There are different sources of data like existing data and new data. Existing data comprising of information given by OHA/HQO and HIS. It includes health service use, diagnoses, living arrangements and employment, mental health symptoms, substance use, and functioning, and rehospitalization CAP. New data will be collected by trained research nurse. Equivalent data will be collected pre-intervention and post-intervention. After the completion of four weeks counselling sessions to the patients, telephone survey will be conducted to assess hospital readmission status and treatment utilization for psychiatric condition. Data will comprise of baseline data of patients, duration of index hospitals stay, diagnosis during hospital admission, symptoms and comorbidities. Information related to living conditions, employment status, abusive substance use and functioning will also be collected. Data related to hospital admissions in the six months prior to index admission will also be collected. Health information system (HIS) will be helpful in gathering personalised information about the patient in terms of discharge summaries, prescribed medicines, results of diagnostic laboratory test, clinical and imaging biomarkers. HIS will be helpful in improving patient safety, improving quality of intervention and avoiding unnecessary readmissions10. Dependent variables: Period between discharge and readmission will be considered as the dependent variable. Collected data like baseline data of patients, duration of index hospitals stay, diagnosis during hospital admission and comorbidities will be corelated with readmissions within timeline of 30, 60 and 90 days. Readmissions within 30, 60 and 90 days will be compared with each other. It will be helpful in corelating severity of disease, type of disease, prescribed medicines and age of the patient with each of the readmission timeline. This programme will also assess the measures for readmission of the psychiatric patients. Readmission data will be helpful in answering the proposal question11,12. Independent variables : Demographic factors, medical treatment and healthcare utilization are the risk factors mainly responsible for the readmission of psychiatric patients. Demographic factors include sex, age, income and management level. Age will be important independent variable because with the increase in the age there will be more severity of the psychiatric disease. Comparison among male and female will be analysed for hospital readmissions because from the literature it is evident that male is more prone to hospital readmissions as compared to female. This study will be helpful in further validating more susceptibility of male towards hospital readmissions. Unemployment and illiteracy are the prominent reasons responsible for the hospital readmissions in the psychiatric patients. Hence, income and education level will be assessed as independent variable in this study. Accurate administration of the medicines for psychiatric conditions and adequate utilization of healthcare facilities will be helpf ul in reducing hospital readmissions11,12. Evaluation strategy: This proposal will incorporate engagement of the skilled healthcare professionals for the evaluation of hospital readmissions. It will also include training for medical professionals for evaluation of hospital readmissions. Healthcare professional will be trained for compilation, analysis and interpretation of the results. Fixed tabular formats will be prepared for compilation of the results. Statistical Package for the Social Sciences (SPSS) will be used for the analysis the data. Trained statistician will be recruited for the statistical evaluation of the data13. Several activities will be planned for the effective evaluation of the implemented programme for hospital readmission reduction programme. Medical and nursing staff will be trained for the discharge activities and readmission evalaution by programme coordinator. On monthly basis meetings will be implemented for the evaluation of implementation of the programme. Stakeholders of this meeting will comprise of project coordinator, the staff nurses and medical specialist, senior level registered nurse and residents. Different interRAI variables like prior hospitalizations, greater severity in several clinical conditions such as psychosis, presence of a secondary substance use diagnosis, and being unemployed will be enquired by the stakeholders of the evaluation programme. Comparison will be done for these interRAI indicators before and after the implementation of the programme. Telephonic call will be arranged for recruited patients twice a week for the duration of four weeks14. Outcomes: Primary endpoint of this programme will be hospital readmission within 30 days followed by within 60 days and 90 days. Hospital readmissions will be measured in two different ways : 1) data retrieval from the hospital records and 2) self-reporting by the patients. Secondary outcomes will include length of hospital stay after readmission, time to hospital readmission, frequency and duration of readmission, total number of general practitioner or emergency department visits and patient satisfaction in discharge process. Separate medical records will be maintained for the patients, those cant be contacted within four weeks of counselling session15,16. In the initial phase, balance of patient characteristics will be measured because it should be equally distributed among control and intervention group due to randomisation. Descriptive statistics will be used for the analysis of patient psychiatric characteristics. Differences between the pre and post test will be evaluated by applying chi-square or Student t-tests. Statistical analysis will be carried out separately for hospital readmissions within 30, 90 and 180 days. Percentage of hospital readmissions in the individual hospitals will be calculated. Readmission rate will be compared with varied factors like patient related factors (demographic status, educational status, living conditions and employment status), disease related factors (severity of the disease, types of symptoms) and hospital related factors (utilization of healthcare facilities). Biasness due to different set up of hospitals will be reduced by categorising hospitals in the different groups. External validity wil l be monitored by controlling hospital characteristics. These hospital characteristics include region, hospital proximity and patient discharge volume. Subgroup analysis will also be performed. Patients admitted to the hospital prior to the index hospitalisation will be at higher risk of readmission. Hence, subgroup analysis is required in these patients. Age, sex, discharge diagnosis and total number of readmissions in the last six months prior to index admission will be used as covariates or confounding factors2, 17, 18. Hospital readmissions evaluation programme can be affected by multiple factors like evaluation design, variables affecting design and outcome of the evaluation programme, alternatives to hospital readmissions, changes in readmissions with respect to different patient and impact of different stakeholders in the evaluation programme. Hence, multivariate analysis will be used in this evaluation programme because it can give statistical outcome considering multiple fa ctors. Confidence interval will be computed from the observed data. For each parameter confidence interval will be computed for prior and after hospital readmission. 5 % confidence interval will be considered as statistically significant. Comparison will be made prior and hospital admission. Table 1 : Evaluation team involved in programme will be as follows19 : Team Members Role and task Principal investigator Main task in the evaluation process is to oversee evaluation implementation, submitting reports and having ultimate responsibility of the program. Project coordinating person Trained statistician Internal evaluator The main role will be overseeing administrative and fiscal functions Statistics task. Internal evaluator will be responsible in conducting surveys, gathering information and analyzing data External evaluator This will be responsible in designing and guiding the evaluation process of the program process. He/she will review internal findings, engaging in external assessments and offers reports to funder. Table 2 : Baseline characteristics of study population20,21 Characteristics Pre-test Post-test Patients (n) 1000 1000 Age, mean (SD), years Male % Female % Employment status Employed Un-employed Educational status Schooling College Graduation Readmission to the hospital within 6 months of index admissions Length of index hospital stay Table What is the prevalence of the problem? Does the patients status affected by mood status, history of hospitalization, substance abuse, living status, employment status ? How many individuals are participating? What are the changes in performance? How many/what resources are used during implementation? How many participants are attending telephonic counselling sessions ? Is there a change in quality of life? Is there a change in health measures? Is there a difference between before and after? Has the patient displayed potential risk as per CAP guideline? What is the readmission frequency of the patient, 30,90 or 180 ? What is the first readmission time for 30, 90 and 180 days time points ? What is first readmission duration for first readmission for 30, 90 and 180 days time points ? HIS Table 4: Healthcare utilization and patient satisfaction four weeks during counselling20,21 Characteristics Pre-test Post-test Cl value Patients (n) 1000 1000 Length of index hospital stay Readmissions Readmissions within 30 days Readmissions within 60 days Readmissions within 90 days Time for first readmission Number of readmissions within 30, 60 and 90 days. Duration of first readmission Other healthcare utilization General practitioner visits Emergency department visits Patient satisfaction with discharge procedure Table 5: Programme outcome and outcome measures20,21: Outcome Outcome measures Clinical efficacy Whether psychiatric symptoms will be improved in the intervention group as compared to the control group Patient efficacy Whether intervention group will he having less number of hospital readmissions as compared to the control group. Healthcare staff fidelity Healthcare professionals execution of the programme protocol will be evaluated: How many post-discharge counselling sessions will be attended by healthcare professional telephonically. How much time healthcare professional will spend on each post-discharge counselling session. How much time healthcare professional will spend on weekly post-discharge counselling session. Success in recruitment and randomization How many actually enrolled patients will be eligible for participation in the programme. Record will be maintained for the drop-out participants prior to completion of the study. Baseline characteristics of both control and intervention arm will be compared. Success of counselling session Percent participants receiving counselling session. Percent participants attending primary healthcare providers within two weeks of discharge. Percent participants contacted telephonically post-discharge. References: Mittenberg W, Canyock EM, Condit D, Patton C. Treatment of post-concussion syndrome following mild head injury. Journal of clinical and experimental neuropsychology. 2001; 23(6):829-36. Kansagara D, Englander H, Salanitro A, et al. Risk prediction models for hospital readmission: a systematic review. JAMA. 2011; 306:1688-98. Allaudeen N, Vidyarthi A, Maselli J, Auerbach A. Redefining readmission risk factors for general medicine patients. J Hosp Med. 2011; 6:54-60. Vigod SN, Kurdyak PA, Dennis CL, Leszcz T, Taylor VH, Blumberger DM, et al. Transitional interventions to reduce early psychology readmissions in adults: systematic review. British Journal of Psychiatry. 2013;202(3):18794. Dudas V, Bookwalter T, Kerr KM, Pantilat SZ. The impact of follow-up telephone calls to patients after hospitalization. Am J Med. 2001; 111:26S-30S. Elna M N, Mat R, Brian W. Adding Socioeconomic Data To Hospital Readmissions Calculations May Produce More Useful Results. , Health Aff (Millwood). 2014. 33(5): 786791. Verhaegh KJ, Buurman BM, Veenboer GC, de Rooij SE, Geerlings SE. The implementation of a comprehensive discharge bundle to improve the discharge process: a quasi-experimental study. Neth J Med. 2014;72(6):318-25. Lee EW. Selecting the best prediction model for readmission. J Prev Med Public Health. 2012;45(4):259-66. Mitchell SE, Martin JM, Krizman K, Sadikova E, Culpepper L, Stewart SK, Brown JR, Jack BW. Design and rationale for a randomized controlled trial to reduce readmissions among patients with depressive symptoms. Contemp Clin Trials. 2015;45(Pt B):151-156. Marzuki N, Ismail S, Al-Sadat N, Ehsan FZ, Chan CK, Ng CW. Integrating Information and Communication Technology for Health Information System Strengthening: A Policy Analysis. Asia Pac J Public Health. 2015;27(8 Suppl):86S-93S. Jasti H, Mortensen EM, Obrosky DS, Kapoor WN, Fine MJ. Causes and risk factors for rehospitalization of patients hospitalized with community-acquired pneumonia.Clin Infect Dis.2008;46(4):550556. Silverstein MD, Qin H, Mercer SQ, Fong J, Haydar Z. Risk factors for 30-day hospital readmission in patients 65 years of age.Proc Bayl Univ Med Cent. 2008;21(4):363372. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987; 40:373-83. Grol R, Grimshaw J. From best evidence to best practice: effective implementation of change in patients care. Lancet. 2003; 362:1225-30. Brook RH, McGlynn EA, Shekelle PG. Defining and measuring quality of care: a perspective from US researchers. Int J Qual Health Care. 2000; 12:281-95. Hulscher ME, Laurant MG, Grol RP. Process evaluation on quality improvement interventions. Qual Saf HealthCare. 2003; 12:40-6. Lagoe RJ, Nanno DS, Luziani ME. Quantitative tools for addressing hospital readmissions. BMC Res Notes. 2012; 5: 620. doi: 1186/1756-0500-5-620. Chow SK, Wong FK. A randomized controlled trial of a nurse-led case management programme for hospital-discharged older adults with co-morbidities. J Adv Nurs. 2014 ;70(10):2257-71. Mitchell JP. Association of provider communication and discharge instructions on lower readmissions. J Healthc Qual. 2015 ;37(1):33-40. Jackson AH, Fireman E, Feigenbaum P, Neuwirth E, Kipnis P, Bellows J. Manual and automated methods for identifying potentially preventable readmissions: a comparison in a large healthcare system. BMC Med Inform Decis Mak. 2014 ;14:28. doi: 10.1186/1472-6947-14-28. Stubenrauch JM. Project RED Reduces Hospital Readmissions. Am J Nurs. 2015;115(10):18-9. doi: 10.1097/01.NAJ.0000471935.08676.ca.