Purpose of Study: Many hospitals established telephone follow-up (TFU) programs to improve care transitions and reduce hospital readmissions. However, there is a lack of knowledge on how to increase the outreach of TFU programs. This integrative review aims to answer the clinical practice question, “What is the best practice for increasing telephone follow-up reach rates post-hospital discharge?” Primary Practice Setting: The primary setting evaluated in this review was hospital-based phone call programs that are conducting post-hospital discharge TFU. Methodology: In this integrative review, we searched studies published between January 2003 and November 2017. We searched 5 electronic databases including PubMed, EMBASE, CINAHL, Web of Science, and Cochrane. The Johns Hopkins Nursing Evidence-Based Practice model was used to critically analyze and synthesize the selected articles. Results: Nine articles were reviewed, and this study uncovered that pre-hospital face-to-face meeting might increase TFU reach rates. However, most studies calculated reach rates using only frequencies/percentages. This contributed to our low-quality rating on most of the reviewed studies. Implications for Case Management Practice: This review identified that TFU, as a component of a care coordination program, may reduce hospital readmissions and control health care utilization. However, few studies (n = 2) used TFU reach rates as a major study outcome to determine the impact of face-to-face meetings on phone outreach. Therefore, the evidence is limited to inform case management practice to increase phone outreach post-hospital discharge. It is recommended to conduct further research and test different methods that may increase phone outreach.

The Johns Hopkins Community Health Partnerships (JCHiP) was developed in 2010 within the Johns Hopkins Health Systems. As part of JCHiP, the Patient Access Line call center was created. The average telephone reach rate at The Johns Hopkins Hospital in 2014 was only 53%. In a population of adult neurosurgical patients, this study aimed to: determine the impact of face-to-face meetings with neurosurgical patients before hospital discharge on telephone follow-up (TFU) reach rates, and determine the association between TFU reach rates and subsequent emergency department (ED) visits and hospital readmission rates. This quasi-experimental study used a posttest-only research design with a comparison group. Two adult inpatient neurosurgical units at the Johns Hopkins Hospital were selected as the intervention and comparison groups. A convenience sampling technique was used. Face-to-face meetings pre hospital discharge resulted in a TFU reach rate of 97.7% on the intervention unit while the comparison unit had only a 76.1% TFU reach rate ( P < .001). Reached patients had fewer ED visits (7.8%) than not reached patients (17.4%); however, the difference was not statistically significant ( P = .138). Reached patients also had fewer hospital readmissions (3.3%) than not reached patients (8.7%); this also was not statistically significant ( P = .214). This study demonstrated that face-to-face meetings with neurosurgical patients prior to discharge increased TFU rates. Results were statistically significant. ED visits and hospital readmissions were also reduced in reached patients and the findings were clinically significant.

Purpose of the Study: The purpose of this study was to determine whether a face-to-face meeting with patients by a telephonic case manager prehospital discharge would result in increased telephone follow-up (TFU) reach rates posthospital discharge. Primary Practice Setting: Acute care adult medicine inpatient units. Methodology and Sample: A quasiexperimental design was utilized. Two adult inpatient medicine units were selected as the intervention and comparison groups. The framework of the study is the transitions theory. A convenience sampling technique was used, whereby 88 eligible patients on the intervention unit received face-to-face meetings prehospital discharge whereas 123 patients on the comparison unit received standard care (no face-to-face meetings). Cross-tabulation and chi-square tests were employed to examine the association of face-to-face meeting intervention and TFU reach rates. Results: Implementing brief (<10 min) face-to-face meetings by a telephonic case manager prehospital discharge resulted in a TFU reach rate of 87% on the intervention unit, whereas the comparison unit only had a 58% TFU reach rate (p < .001). Implications for Case Management Practice: Increasing reach rates by a telephonic case manager facilitates communication with more patients posthospital discharge. A brief prehospital discharge face-to-face meeting with patients assisted them to understand the reasons for a posthospital discharge telephone call, identified the best times to call using accurate telephone numbers, and taught patients how best to prepare for the call. In addition, by meeting patients face-to-face, the telephonic case manager was no longer an unknown person on the telephone asking them questions about their medical condition. These factors combined may have significantly helped to increase TFU reach rates.

Background: Delirium is a serious complication in patients in the critical care unit (CCU) that may lead to prolonged hospitalization if left undetected. The CCU at our hospital does not have a framework for determining delirium that could affect patient outcomes and discharge planning. Primary Practice Setting: CCU in a community hospital. Method: A posttest-only design was used for this study. We established a framework for the early assessment of delirium, educated and trained nurses to detect delirium, collaborated with the informatics department, intensivist, nursing, respiratory therapy and worked with case management to deploy the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). We used a one-tailed independent t test to determine the impact of CAM-ICU on length of stay (LOS). Cross-tabulation and chi-square tests were used to examine the impact of CAM-ICU tool on home care utilization between the intervention and comparison groups. Results: There was a 3.12% reduction in LOS after implementing the CAM-ICU tool. Also, a reduction in home care service utilization demonstrated statistical significance (p = .001) between the intervention group (62.5%; n = 177) and the comparison group (37.5%; n = 106). Implications for Case Management Practice: Case managers are essential in improving care transitions. Case managers need to become competent in understanding the implications of the CAM-ICU tool because of their relevant role in the multidisciplinary rounds as advocates to improve care transitions across the continuum of care. Case managers need to have an understanding on how to escalate when changes in the Richmond Agitation-Sedation Scale scores occur during the multidisciplinary rounds because it can affect care coordination throughout the hospital. Conclusions: Implementing the CAM-ICU decreased LOS, and reduced health care utilization. The early identification of patients with delirium can affect the outcomes of critically ill patients and entails multidisciplinary collaboration.