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Journal articles on the topic 'Inpatient treatment'

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Published: 4 June 2021
Last updated: 20 February 2023

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1

Wood, Keith. "An Inpatient Skills Training Stabilization Model." Brief Treatment and Crisis Intervention 2, no. 4 (December 1, 2002): 315–24. http://dx.doi.org/10.1093/brief-treatment/2.4.315.

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2

Ross, Colin A. "Inpatient Treatment of Multiple Personality Disorder*." Canadian Journal of Psychiatry 32, no. 9 (December 1987): 779–81. http://dx.doi.org/10.1177/070674378703200910.

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Multiple personality disorder (MPD) was once thought to be rare, but there is increasing evidence that it is relatively common. In a period of a year the author had 73 inpatient admissions under his care, of which 8 were for MPD. Three of the MPD admissions were for previously undiagnosed cases in an unselected general adult population. Thus 4.4% of the author's inpatients, once MPD patients diagnosed prior to admission are excluded, had MPD. The implications of this finding are discussed. The diagnosis and inpatient treatment of MPD are reviewed.
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3

Obermeier, George E., and Paul B. Henry. "Adolescent Inpatient Treatment." Journal of Chemical Dependency Treatment 2, no. 1 (May 2, 1989): 163–82. http://dx.doi.org/10.1300/j034v02n01_08.

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4

Munley, Patrick H., and Rebecca Busby. "MMPI-2 Negative Treatment Indicators Scale and Irregular Discharge." Psychological Reports 74, no. 3 (June 1994): 903–6. http://dx.doi.org/10.2466/pr0.1994.74.3.903.

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A sample of 18 psychiatric inpatients who had completed the MMPI-2 and subsequently received an irregular discharge from inpatient treatment were compared on the MMPI-2 Negative Treatment Indicators scale (TRT) with a random sample of 18 inpatients who received a regular discharge from inpatient care. Analysis showed no significant difference between the two groups on the Negative Treatment Indicators scale. The two groups did differ in K scale elevation. The possible need to interpret the Negative Treatment Indicators scale in the context of K scale elevation is discussed.
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5

Whiting, Paul, Christopher Rice, Frank Avilucea, Catherine Bulka, Michelle Shen, William Obremskey, and Manish Sethi. "Patients at Increased Risk of Major Adverse Events Following Operative Treatment of Distal Radius Fractures: Inpatient versus Outpatient." Journal of Wrist Surgery 06, no. 03 (March 6, 2017): 220–26. http://dx.doi.org/10.1055/s-0037-1599216.

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Purpose The purpose of this study was to compare complication rates following inpatient versus outpatient distal radius fracture ORIF and identify specific complications that occur at increased rates among inpatients. Methods Using the 2005–2013 ACS-NSQIP, we collected patient demographics, comorbidities, surgical characteristics, and 30-day postoperative complications following isolated ORIF of distal radius fractures. A propensity score matched design using an 8-to-1 “greedy” matching algorithm in a 1:4 ratio of inpatients to outpatients was utilized. Rates of minor, major, and total complications were compared. A multinomial logistic regression model was then used to assess the odds of complications following inpatient surgery. Results Total 4,016 patients were identified, 776 (19.3%) of whom underwent inpatient surgery and 3,240 (80.3%) underwent outpatient surgery. The propensity score matching algorithm yielded a cohort of 629 inpatients who were matched with 2,516 outpatients (1:4 ratio). After propensity score matching, inpatient treatment was associated with increased rates of major and total complications but not with minor complications. There was an increased odds of major complications and total complications following inpatient surgery compared with outpatient surgery. There was no difference in odds of minor complications between groups. Conclusion Inpatient operative treatment of distal radius fractures is associated with significantly increased rates of major and total complications compared with operative treatment as an outpatient. Odds of a major complication are six times higher and odds of total complications are two and a half times higher following inpatient distal radius ORIF compared with outpatient. Quality improvement measures should be specifically targeted to patients undergoing distal radius fracture ORIF in the inpatient setting.
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6

Lyons, Declan, Onsi Abd El Sayed, and VM Matthew. "New unit on old ground or general hospital — where do patients want inpatient treatment?" Irish Journal of Psychological Medicine 18, no. 4 (December 2001): 129–31. http://dx.doi.org/10.1017/s0790966700006613.

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AbstractObjectives: To establish if the relocation of the acute adult psychiatric services of the Dartford area from a district general hospital (DGH) to a new unit in the grounds of Stone House Hospital, the large institution where they were formerly based, increased the stigma of receiving inpatient treatment.Method: A brief survey of service users asked if this move near to, but not within, the old institution potentially increased the stigma of receiving inpatient treatment.Results: Inpatients initially welcomed the move but expressed greater concern about stigma and on balance were substantially less enthused than outpatients about the move to a separate psychiatric hospital.Conclusions: Moving an inpatient unit back to the vicinity of a large institution from a DGH setting is rare, however concerns about consequent stigma, particularly felt by inpatients merits early consideration at planning stages.
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7

Johannessen, Dagny Adriaenssen, Trond Nordfjærn, and Amy Østertun Geirdal. "Substance use disorder patients’ expectations on transition from treatment to post-discharge period." Nordic Studies on Alcohol and Drugs 37, no. 3 (April 24, 2020): 208–26. http://dx.doi.org/10.1177/1455072520910551.

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Aim: There is limited knowledge about how inpatients anticipate factors that facilitate the transition between specialised inpatient treatment for substance use disorder (SUD) and the post-discharge period. This study explores factors that inpatients anticipated would facilitate such a transition period. Method: A focus group study, consisting of four group interviews with individuals in inpatient SUD treatment, was conducted to explore their expectations for the transition and post-discharge period ahead of them. The transcribed interview material was analysed using thematic analysis. Findings: The analytical process led to three themes: “Belonging”, “Intrapersonal processes” and “Predictability”. Correspondence between inpatients’ expectations and the services they are offered in the transition and post-discharge period may serve as proper support for inpatients ahead of a vulnerable phase, such as the transition and post-discharge period. Conclusions: Findings from the current study highlight overarching elements that inpatients envisioned to be facilitating, such as social support, motivation, self-efficacy, self-awareness and predictability in basic elements such as employment, housing and personal finances. Findings from this study and previous ones imply that certain factors appear to facilitate in vulnerable phases, such as service level transitions. These facilitating factors should be taken into consideration and used as steppingstones through the transition and post-discharge period after inpatient SUD treatment.
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8

Diamond, Seymour. "Inpatient treatment of headache." Postgraduate Medicine 82, no. 2 (August 1987): 224–29. http://dx.doi.org/10.1080/00325481.1987.11699938.

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9

JENKINS, D., C. CAIRNS, L. DOBSON, and N. BARBER. "Costing inpatient drug treatment." International Journal of Pharmacy Practice 3, no. 2 (March 1995): 106–9. http://dx.doi.org/10.1111/j.2042-7174.1995.tb00799.x.

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10

Blotcky, Mark J., and Thomas L. Dimperio. "Outcome of Inpatient Treatment." Journal of the American Academy of Child & Adolescent Psychiatry 30, no. 3 (May 1991): 507. http://dx.doi.org/10.1097/00004583-199105000-00025.

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11

HARPER, GORDON. "Focal Inpatient Treatment Planning." Journal of the American Academy of Child & Adolescent Psychiatry 28, no. 1 (January 1989): 31–37. http://dx.doi.org/10.1097/00004583-198901000-00006.

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12

Diamond, Seymour. "Inpatient Treatment of Headache." Clinical Journal of Pain 5, no. 1 (March 1989): 101–4. http://dx.doi.org/10.1097/00002508-198903000-00017.

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13

Huang, Zhihuan J., Bonnie J. LaFleur, James M. Chamberlain, Mark F. Guagliardo, and Jill G. Joseph. "Inpatient Childhood Asthma Treatment." Archives of Pediatrics & Adolescent Medicine 156, no. 1 (January 1, 2002): 67. http://dx.doi.org/10.1001/archpedi.156.1.67.

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14

Johannessen, Dagny Adriaenssen, Trond Nordfjærn, and Amy Østertun Geirdal. "Work-Related Satisfaction among Clinicians Working at Inpatient Treatment Facilities for Substance Use Disorder: The Role of Recovery Orientation." International Journal of Environmental Research and Public Health 18, no. 14 (July 12, 2021): 7423. http://dx.doi.org/10.3390/ijerph18147423.

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Several psychosocial factors have been suggested as facilitators of change among inpatients treated for substance use disorder (SUD). Research suggests that staff members are also influenced by the practice in which they are involved, and by contextual psychosocial factors at their treatment facilities. This cross-sectional questionnaire survey study was conducted to investigate the role of recovery-orientated interventions in describing work-related satisfaction among clinicians at inpatient SUD treatment facilities. The respondents (n = 407) rated items indicating work-related satisfaction and the degree of recovery orientation at their treatment facilities. The main findings of two block regression analyses indicated that clinicians’ work-related satisfaction was positively influenced by inpatients’ opportunities to pursue their goals and choices, and negatively influenced by inpatient involvement. The change in clinicians’ work-related satisfaction could not be described by the degree of individually tailored and varied interventions at the treatment facility. Clinicians should be supported and involved in the process of implementing measures to increase inpatient involvement in the treatment programmes, and treatment measures that enable inpatients to pursue their goals and choices should be enhanced. The findings of this and previous studies indicate that a recovery-oriented framework promotes clinicians’ work-related satisfaction and has an enabling influence on both inpatients and clinicians.
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15

Stulz, Niklaus, Anja Nevely, Matthias Hilpert, Daniel Bielinski, Caesar Spisla, Lienhard Maeck, and Urs Hepp. "Referral to Inpatient Treatment Does not Necessarily Imply a Need for Inpatient Treatment." Administration and Policy in Mental Health and Mental Health Services Research 42, no. 4 (June 5, 2014): 474–83. http://dx.doi.org/10.1007/s10488-014-0561-5.

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16

Chen, Ya-Huei, Shu-Ling Chen, Chia-Hui Chang, Pi-O. Wu, Hsiu-Hui Yu, Sou-Jen Shih, and Mei-Yu Chang. "Correlational Study of Emotional Stress, Pain, and the Presence of Inpatient Companions for Cancer Inpatients during the COVID-19 Pandemic." International Journal of Environmental Research and Public Health 19, no. 12 (June 8, 2022): 7004. http://dx.doi.org/10.3390/ijerph19127004.

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The outbreak of COVID-19 poses an immense global threat. Visitors to hospitalized patients during a pandemic might themselves be carriers, and so hospitals strictly control patients and inpatient companions. However, it is not easy for cancer patients to adjust the times of their medical treatment or to suspend treatment, and the impact of the pandemic on cancer inpatients and inpatient companions is relatively high. The objectives for this investigation are to study the correlations among emotional stress, pain, and the presence of inpatient companions in cancer patients during the COVID-19 pandemic. This study was a retrospective descriptive study. The participants were cancer inpatients and inpatient companions in a medical center in Taiwan. The data for this study were extracted from cross-platform structured and normalized electronic medical record databases. Microsoft Excel 2016 and SPSS version 22.0 were used for analysis of the data. In all, 75.15% of the cancer inpatients were accompanied by family, and the number of hospitalization days were 7.87 ± 10.77 days, decreasing year by year, with statistical significance of p < 0.001. The daily nursing hours were 12.94 ± 10.76, and the nursing hours decreased year by year, p < 0.001. There was no significant difference in gender among those who accompanied the patients, but there were statistical differences in the length of hospitalization, nursing hours, and pain scores between those with and without inpatient companions, with p < 0.001. The inpatient companions were mostly family members (78%). The findings of this study on cancer patient care and inpatient companions should serve as an important basis for the transformation and reform of the inpatient companion culture and for epidemic prevention care in hospitals.
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17

Lo, Sou Bouy, Christian G. Huber, Andrea Meyer, Stefan Weinmann, Regula Luethi, Frieder Dechent, Stefan Borgwardt, Roselind Lieb, Undine E. Lang, and Julian Moeller. "The relationship between psychological characteristics of patients and their utilization of psychiatric inpatient treatment: A cross-sectional study, using machine learning." PLOS ONE 17, no. 4 (April 1, 2022): e0266352. http://dx.doi.org/10.1371/journal.pone.0266352.

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High utilizers (HU) are patients with an above-average use of psychiatric inpatient treatment. A precise characterization of this patient group is important when tailoring specific treatment approaches for them. While the current literature reports evidence of sociodemographic, and socio-clinical characteristics of HU, knowledge regarding their psychological characteristics is sparse. This study aimed to investigate the association between patients’ psychological characteristics and their utilization of psychiatric inpatient treatment. Patients from the University Psychiatric Clinics (UPK) Basel diagnosed with schizophrenia spectrum or bipolar affective disorders participated in a survey at the end of their inpatient treatment stay. The survey included assessments of psychological characteristics such as quality of life, self-esteem, self-stigma, subjective experience and meaning of psychoses, insight into the disease, and patients’ utilization of psychiatric inpatient treatment in the last 30 months. The outcome variables were two indicators of utilization of psychiatric inpatient treatment, viz. “utilization pattern” (defined as HU vs. Non-HU [NHU]) and “length of stay” (number of inpatient treatment days in the last 30 months). Statistical analyses included multiple regression models, the least absolute shrinkage and selection operator (lasso) method, and the random forest model. We included 112 inpatients, of which 50 were classified as HU and 62 as NHU. The low performance of all statistical models used after cross-validation suggests that none of the estimated psychological variables showed predictive accuracy and hence clinical relevance regarding these two outcomes. Results indicate no link between psychological characteristics and inpatient treatment utilization in patients diagnosed with schizophrenia spectrum or bipolar affective disorders. Thus, in this study, the examined psychological variables do not seem to play an important role in patients’ use of psychiatric inpatient treatment; this highlights the need for additional research to further examine underlying mechanisms of high utilization of psychiatric inpatient treatment.
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18

Bellamy, Verdelle B. "INPATIENT PSYCHIATRY: DIAGNOSIS AND TREATMENT." Journal of Psychosocial Nursing and Mental Health Services 26, no. 1 (January 1988): 44. http://dx.doi.org/10.3928/0279-3695-19880101-21.

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19

Miller, William R., and Reid K. Hester. "Inpatient alcoholism treatment: Who benefits?" American Psychologist 41, no. 7 (July 1986): 794–805. http://dx.doi.org/10.1037/0003-066x.41.7.794.

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20

RITTMANNSBERGER, H. "Polypharmacy in Psychiatric Inpatient Treatment." American Journal of Psychiatry 161, no. 4 (April 2004): 761. http://dx.doi.org/10.1176/appi.ajp.161.4.761.

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21

Mendelberg, Hava E. "Inpatient Treatment of Mood Disorders." Psychological Reports 76, no. 3 (June 1995): 819–24. http://dx.doi.org/10.2466/pr0.1995.76.3.819.

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The present work provides a short-term, intensive, and integrative model for the assessment and treatment of mood disorders within a hospital setting. This model was developed and implemented at the Milwaukee Psychiatric Hospital in a specific inpatient program, a 15-bed unit for patients suffering from dysthymia, cyclothymia, major depression, and bipolar disorders. This paper describes the program and its philosophy, the target population, and assessment and treatment interventions. The data collected included pre- and posttreatment measurements of psychopathology and cognitive and emotional functioning for 202 patients. Analysis shows the treatment program was effective as scores on measures of mood disorders and cognition were reduced from significantly high clinical levels to within normal limits. The findings suggest the benefits of using a short-term integrative model in the treatment of mood disorders.
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22

Haldipur, C. V. "Inpatient Psychiatry: Diagnosis & Treatment." American Journal of Psychotherapy 42, no. 1 (January 1988): 152–53. http://dx.doi.org/10.1176/appi.psychotherapy.1988.42.1.152.

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23

SUÁREZ-PINILLA, PAULA, CARMEN PEÑA-PÉREZ, BEATRIZ ARBAIZAR-BARRENECHEA, BENEDICTO CRESPO-FACORRO, JOSÉ ANDRÉS GÓMEZ DEL BARRIO, JANET TREASURE, and JAVIER LLORCA-DÍAZ. "Inpatient Treatment for Anorexia Nervosa." Journal of Psychiatric Practice 21, no. 1 (January 2015): 49–59. http://dx.doi.org/10.1097/01.pra.0000460621.95181.e2.

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24

Delaney, Kathleen R., and Mary E. Johnson. "Safety and Inpatient Psychiatric Treatment." Journal of the American Psychiatric Nurses Association 18, no. 2 (March 2012): 79–80. http://dx.doi.org/10.1177/1078390312441369.

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25

Colon, Eduardo A. "Inpatient Psychiatry: Diagnosis and Treatment." Psychosomatics 26, no. 2 (February 1985): 157. http://dx.doi.org/10.1016/s0033-3182(85)72896-4.

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26

Shorter, Edward, Susan E. Abbey, Laurie A. Gillies, Malini Singh, and Zbigniew J. Lipowski. "Inpatient Treatment of Persistent Somatization." Psychosomatics 33, no. 3 (August 1992): 295–301. http://dx.doi.org/10.1016/s0033-3182(92)71968-9.

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27

Flynn, Denis. "Psychoanalytic aspects of inpatient treatment." Journal of Child Psychotherapy 24, no. 2 (August 1998): 283–306. http://dx.doi.org/10.1080/00754179808414818.

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28

Fogel, Barry S., and David Kroessler. "Inpatient psychiatry: Diagnosis and treatment." General Hospital Psychiatry 9, no. 5 (September 1987): 388–89. http://dx.doi.org/10.1016/0163-8343(87)90076-4.

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29

Ostacher, Michael. "Inpatient psychiatry: Diagnosis and treatment." General Hospital Psychiatry 15, no. 2 (March 1993): 132–33. http://dx.doi.org/10.1016/0163-8343(93)90111-z.

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30

Glangeaud-Freudenthal, Nine M. C., Louise M. Howard, and Anne-Laure Sutter-Dallay. "Treatment – Mother–infant inpatient units." Best Practice & Research Clinical Obstetrics & Gynaecology 28, no. 1 (January 2014): 147–57. http://dx.doi.org/10.1016/j.bpobgyn.2013.08.015.

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31

Liskow, Barry I. "Inpatient psychiatry: Diagnosis and treatment." Schizophrenia Research 2, no. 6 (November 1989): 473–74. http://dx.doi.org/10.1016/0920-9964(89)90017-0.

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32

Hurt, Richard D. "Mortality Following Inpatient Addictions Treatment." JAMA 275, no. 14 (April 10, 1996): 1097. http://dx.doi.org/10.1001/jama.1996.03530380039029.

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33

Appelbaum, Ann Halsell. "Inpatient Psychiatry: Diagnosis and Treatment." JAMA: The Journal of the American Medical Association 267, no. 19 (May 20, 1992): 2673. http://dx.doi.org/10.1001/jama.1992.03480190117046.

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34

Chawla, Upneet, Avneet Chadha, Abigail Martin, Elizabeth Culnan, Aaron Kirkpatrick, Henry Arantes, and Alejandra Lastra. "413 Inpatient Sleep Screens: Effective for Screening but Poor Follow Up." Sleep 44, Supplement_2 (May 1, 2021): A164. http://dx.doi.org/10.1093/sleep/zsab072.412.

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Abstract Introduction Only 20% of adult Americans with Obstructive Sleep Apnea (OSA) are thought to have been diagnosed. Portable monitors (PM) can provide shorter time to diagnosis and treatment in at risk populations including inpatients. Data on inpatient sleep screen testing outcomes and population phenotypes are limited. We hypothesized that inpatients undergoing sleep screens via PM have higher disease severity but are less adherent to follow up. Methods We conducted a retrospective observational study comparing severity of OSA based on apnea-hypopnea index (AHI) and compliance with follow up between patients who received inpatient vs. outpatient sleep screens. There was a total of 347 patients, 18 years and older, who received a sleep screen from August 2017 to August 2018. Exclusion criteria were cancellations/no shows (13.56% inpatients vs. 13.51% outpatients) or loss of data (26.12% inpatients vs. 23.72% outpatients). For analysis, t-test and chi-square were used for continuous and categorical variables respectively. Results The patients diagnosed with severe OSA were more than double in the inpatient group vs. the outpatient group, 46.7% and 21.7% respectively. The inpatient group had a higher average AHI (30/h) compared to the outpatient group (20.3/h). 30.7% of the inpatient group were adherent with their follow up vs. 83.3% of the outpatient group. A chi-square test of independence demonstrated a significant difference between testing location and follow up (p &lt; .001). Those in the inpatient group were significantly older (mean 60.4 years old) than the outpatient group (47.5 years old). There was no significant difference in gender between the groups. The inpatient group had significantly higher average body mass index (39.9 kg/m2) when compared to the outpatient group (34.3 kg/m2). Conclusion Hospitalized patients screened for OSA with portable monitors are significantly more likely to have severe disease when compared to outpatients. Despite this, adherence to follow up is poor. Systematic evaluation of inpatient OSA screening program effectiveness and factors impacting adherence to follow up and treatment are needed. Support (if any):
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35

Shoenbill, Kimberly A., Eiman Newcomer, Celeslie Valcourt-Hall, Michael H. Baca-Atlas, Caleb A. Smith, and Adam O. Goldstein. "An Analysis of Inpatient Tobacco Use Treatment Transition to Telehealth." Nicotine & Tobacco Research 24, no. 5 (December 21, 2021): 794–98. http://dx.doi.org/10.1093/ntr/ntab233.

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Abstract Introduction During the COVID-19 pandemic, many tobacco users increased their tobacco use, and calls to quitlines decreased. Among inpatients, the pandemic also necessitated a rapid transition of intensive tobacco use counseling to telehealth counseling. No data exist comparing the outcomes of telehealth inpatient counseling with in-person (pre-telehealth) counseling. Aims and Methods We examined inpatient data from a large tobacco treatment program (TTP) during two comparable time periods 04/01/2019–09/30/2019 (pre-telehealth) and 04/01/2020–09/30/2020 (telehealth). The pre-telehealth and telehealth populations were compared using Pearson’s chi-square test for homogeneity on each populations’ patient, visit, and medication acceptance characteristics. Reach to “current tobacco users” was analyzed using TTP flowsheet and electronic health record (EHR) data in relation to aggregate EHR data in the data warehouse. Results Mean monthly tobacco treatment inpatient counseling and outreach visits increased 38.9% in the telehealth period (M = 376, SD = 36.7) compared with the pre-telehealth period (M = 271, SD = 50.0) (t(10) = 3.8, p = .004). Reach significantly increased from 32.8% to 65.9% among all “current tobacco users” admitted, including 31.8% to 66.6% in races at higher risk for COVID-19 severe disease. Pearson’s chi-square tests for homogeneity showed significant differences in the pre-telehealth and telehealth population distributions for age, visit type, ethnicity, and medication acceptance. Conclusions This study offers the first understanding of characteristics of patients, visits, and medication acceptances in pre-telehealth and telehealth tobacco use treatment for inpatient populations. Larger reach and counseling were identified in the telehealth population. This study’s findings on inpatient tobacco use treatment can inform future reach and engagement of large numbers of patients who use tobacco products. Implications This study provides the first analysis of inpatient tobacco use treatment transition to telehealth delivery of care during the COVID-19 pandemic. The transition resulted in increases in reach and cessation counseling. These findings can inform efforts to improve reach, engagement, and research on telehealth delivery of inpatient tobacco use treatment.
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Goss, Adeline L., and Claire J. Creutzfeldt. "Neuropalliative Care in the Inpatient Setting." Seminars in Neurology 41, no. 05 (October 2021): 619–30. http://dx.doi.org/10.1055/s-0041-1731071.

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AbstractThe palliative care needs of inpatients with neurologic illness are varied, depending on diagnosis, acuity of illness, available treatment options, prognosis, and goals of care. Inpatient neurologists ought to be proficient at providing primary palliative care and effective at determining when palliative care consultants are needed. In the acute setting, palliative care should be integrated with lifesaving treatments using a framework of determining goals of care, thoughtfully prognosticating, and engaging in shared decision-making. This framework remains important when aggressive treatments are not desired or not available, or when patients are admitted to the hospital for conditions related to advanced stages of chronic neurologic disease. Because prognostic uncertainty characterizes much of neurology, inpatient neurologists must develop communication strategies that account for uncertainty while supporting shared decision-making and allowing patients and families to preserve hope. In this article, we illustrate the approach to palliative care in inpatient neurology.
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Meehan, Thomas, Helen Bergen, and Terry Stedman. "Monitoring Consumer Satisfaction With Inpatient Service Delivery: The Inpatient Evaluation of Service Questionnaire." Australian & New Zealand Journal of Psychiatry 36, no. 6 (December 2002): 807–11. http://dx.doi.org/10.1046/j.1440-1614.2002.01094.x.

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Objective: To report on the development, testing and psychometric properties of a brief consumer satisfaction measure for use with psychiatric inpatients. Method: Focus group discussions with inpatients were used to develop a pool of items related to satisfaction with hospital stay. A second cohort of 72 inpatients was invited to rate the 51 items that emerged for importance in contributing to satisfaction. Mean importance scores highlighted 20 items that were subsequently framed into neutrally worded statements. A draft questionnaire comprising these statements was introduced, on a trial basis, in a range of inpatient facilities. Results: Factor analysis of 356 completed questionnaires yielded three factors comprising a staff-patient alliance; doctor/treatment issues; and an environmental component. Psychometric properties include good response variability and high internal consistency. Conclusions: The Inpatient Evaluation of Service Questionnaire addresses many of the shortcomings of existing satisfaction measures. It was developed through extensive consumer involvement, it is simply worded, easy to score and appears to perform well with acute and rehabilitation inpatients.
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38

Kang, Kuldip Kaur, and Nicola Moran. "Experiences of inpatient staff meeting the religious and cultural needs of BAME informal patients and patients detained under the Mental Health Act 1983." Mental Health Review Journal 25, no. 2 (June 17, 2020): 113–25. http://dx.doi.org/10.1108/mhrj-11-2019-0041.

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Purpose This paper aims to explore inpatient staff experiences of seeking to meet the religious and cultural needs of Black, Asian and Minority Ethnic (BAME) inpatients on mental health wards. Design/methodology/approach Nine semi-structured interviews were undertaken with inpatient staff in one NHS Trust in England to explore their views and experiences of supporting BAME inpatients to meet their religious and cultural needs. Anonymised transcripts were analysed thematically. Findings Inpatient staff reported lacking the confidence and knowledge to identify and meet BAME inpatients’ religious and cultural needs, especially inpatients from smaller ethnic groups and newly emerging communities. There was no specific assessment used to identify religious and cultural needs and not all inpatient staff received training on meeting these needs. Concerns were raised about difficulties for staff in differentiating whether unusual beliefs and practices were expressions of religiosity or delusions. Staff identified the potential role of inpatients’ family members in identifying and meeting needs, explaining religious and cultural beliefs and practices, and psychoeducation to encourage treatment or medication adherence. Practical implications Potential ways to address this gap in the knowledge and confidence of inpatient staff to meet the religious and cultural needs of BAME patients include training for inpatient staff; the production and updating of a directory of common religious and cultural practices and needs; local resources which can help to support those needs; and religious and cultural practices and needs being documented by mental health practitioners in community teams such that this information is readily available for inpatient staff if a service user is admitted. Originality/value This is the first study to consider inpatient staff views on meeting the religious and cultural needs of BAME informal patients and patients detained under the Mental Health Act 1983.
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39

Brakemeier, E. L. "Feasibility and effectiveness of cognitive behavioral analysis system of psychotherapy for chronically depressed inpatients: a pilot study." European Psychiatry 26, S2 (March 2011): 2165. http://dx.doi.org/10.1016/s0924-9338(11)73868-8.

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BackgroundCognitive Behavioral Analysis System of Psychotherapy (CBASP) was initially developed and evaluated as an outpatient treatment for chronic depression. Given the high degree of suicidality and comorbidity in chronic depression, however, many of these patients require prolonged inpatient treatment. Here, we report on a first specialized program for chronic depression adapting CBASP to an inpatient setting.MethodsTo evaluate feasibility and effectiveness of this program 30 chronically depressed inpatients were included in an open pilot study. The structured CBASP-based three-month inpatient program combined individual and group therapy sessions.ResultsThe majority of the patients suffered from early onset depression, childhood trauma, and a high degree of axis-I and axis-II comorbidity. All patients completed the program perceiving the concept as very helpful. Pre-post comparisons showed significant changes with strong effect sizes. None of the patients deteriorated. In addition, CBASP specific instruments revealed that patients changed their stimulus-character and learned to perform the technique of Situational Analysis. 12 months follow up data show that most patients experienced no relapse.ConclusionThe findings suggest that a CBASP inpatient program is a feasible and effective short- and longterm treatment for chronically depressed inpatients with high comorbidity rates. A prospective randomized controlled trial will be conducted to validate these promising pilot data.
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Zhang, Qisu, Lin Xie, Onur Baser, and Michael McGuire. "Evaluating treatment patterns of relapsed acute myeloid leukemia (AML) among the elderly in the United States." Journal of Clinical Oncology 35, no. 15_suppl (May 20, 2017): e18161-e18161. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e18161.

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e18161 Background: The type and place of treatment in relapsed AML has not been explored in a large national data set. The goal of this study is to examine treatment patterns among elderly patients (pts) with relapsed AML. Methods: Elderly pts (age ≥ 65 years) with an AML diagnosis (ICD-9-CM: 205.x) were identified using Medicare data from Jan 2010 to Dec 2014. The index date was the first AML treatment date within 30 days of diagnosis. Relapsed pts were identified with ICD-9-CM 205.02 or a claim for AML therapy after a ≥ 120-day treatment-free gap. Pts were required to have continuous enrollment 12 months before AML diagnosis and 6 months after, and no pre-diagnosis claims for blood cancer, chemotherapy, radiotherapy, or AML-related surgery. Transfusion dependence (TD) was defined as ≥ 2 transfusions within an 8-week period. The type and place of treatment for relapsed pts with both 1st- and 2nd-line therapy was examined. Results: 1,726 pts who received treatment for relapsed AML were included in the study. The 30- and 60-day mortality rates from the date of relapse treatment were 19.6% and 33.6%. During 1st-line therapy, 28.6% of pts received inpatient chemotherapy only, 59.1% received both inpatient and outpatient therapy (median inpatient length of stay [LOS]: 32 days), and 3.8% received outpatient therapy only. The most frequent outpatient therapies were hypomethylating agents and supportive therapies, e.g. G-CSF, anti-infectives. 11.3% of inpatients were given a bone marrow transplant (BMT). Additionally, 90.1% of pts received blood transfusions at an average rate of 8.9 per year, and 77.2% of pts were TD. During 2nd-line therapy, 19.6% of relapsed pts received inpatient chemotherapy only, 41.2% received both inpatient and outpatient therapy (median inpatient LOS: 7 days), and 9.3% received outpatient therapy only. Outpatient therapies were similar to those seen at 1st line. 10.3% of inpatients were given a BMT. 80.9% of pts received blood transfusions at an average rate of 19.7 per year, and 60.4% of pts were TD. Conclusions: Current treatment options available for relapsed AML pts are associated with a significant treatment burden at both 1st and 2nd lines of therapy, as well as a high early-mortality rate.
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Ridgway, Jessica P., Diane Lauderdale, Ronald Thisted, and Ari Robicsek. "Electronic Syndromic Surveillance for Influenza-Like Illness Across Treatment Settings." Infection Control & Hospital Epidemiology 38, no. 4 (December 19, 2016): 393–98. http://dx.doi.org/10.1017/ice.2016.299.

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OBJECTIVESyndromic surveillance for influenza-like illness (ILI) is predominantly performed in the outpatient setting. The objective of this study was to compare patterns of ILI activity in outpatient, emergency department (ED), and inpatient settings using an electronic syndromic surveillance algorithm.DESIGNRetrospective cohort study over 7.5 years.SETTINGA large community health system comprised of 5 hospitals and >50 clinics.METHODSWe applied an electronic syndromic surveillance algorithm for ILI to all primary-care outpatient visits, inpatient encounters, and ED encounters at our health system. Comparisons of ILI activity over time were performed using Spearman’s rank correlation coefficient. Cross correlation was used to compare the timing of ILI activity among treatment settings.RESULTSOverall, 4,447,769 patient encounters occurred during the study period; 152,607 of these (3.4%) were consistent with ILI. The correlation coefficient for ILI activity in the outpatient versus ED setting was 0.877, and for the outpatient versus inpatient setting, the correlation coefficient was 0.699. ILI activity among outpatients preceded ILI activity among inpatients by 1 week. ILI activity among children in the outpatient setting preceded ILI activity among adults in all 3 settings by 1 week.CONCLUSIONSSyndromic surveillance for ILI in the outpatient setting yields similar results to surveillance in the ED setting, but it produces less similar results than ILI surveillance in the inpatient setting. ILI activity in the pediatric outpatient population is a potential predictor of future ILI activity in the general population.Infect Control Hosp Epidemiol 2017;38:393–398
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Woodward, S. H., A. L. Jamison, T. Souter, H. J. Shin, D. E. Loew, and J. A. Armontrout. "1068 Using Sleep to Avoid Inpatient PTSD Treatment." Sleep 43, Supplement_1 (April 2020): A406—A407. http://dx.doi.org/10.1093/sleep/zsaa056.1064.

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Abstract Introduction During inpatient psychiatric treatment, mattress actigraphy can be used to track nightly sleep in a zero-burden fashion to examine its relationships with other markers of treatment progress. We report here on associations between actigraphic sleep parameters and treatment markers in combat veteran engaged in inpatient treatment for posttraumatic stress disorder. We focus first on sleep scheduling, the best-validated outcome available from actigraphic data. Methods 140 combat veteran inpatients provided between 5 and 164 nights of mattress actigraphy over the course of their inpatient psychiatric hospitalizations. The sample was characterized by multiple traumas and a high prevalence of comorbid mood and substance use disorders. Approximately one-half of the sample had undergone objective screening for OSA and for this subsample AHI &lt; 20 was used as an inclusion criterion. Unscreened participants were required to have a BMI &lt; 35. Inclusion also required mean actigraphic SE &gt; 60%. The PTSD Checklist and Combat Exposure Scale were obtained at admission, from which a trauma load index was created by adding z-scores obtained from standardizing these scales. Results In a multiple regression analysis, after accounting for secular change in LOS, higher trauma loads (p &lt; 0.001) and earlier bed times (p = 0.001) were both significantly associated with shorter lengths of stay (LOS; F(3,137) = 10.4, p &lt; 0.001; adj. R-squared = 0.17). Trauma load and bed time did not interact (p = 0.7). Conclusion Avoidance is a criterial symptom of PTSD. Early bed times and early exits from treatment may both reflect the impact of syndromal avoidance on treatment, limiting its dosage and benefit. If so, prescribing later bed times may have utility in inpatient treatment programming. Support Award W81XWH-15-2-0005 from the Department of Defense, Military Operational Medicine Research Program and the Department of Veterans Affairs. This material is the result of work supported with resources and the use of facilities at the Palo Alto VA Medical Center.
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Lappin, Julia M., Dennis Thomas, Jackie Curtis, Stephen Blowfield, Mike Gatsi, Gareth Marr, and Ryan Courtney. "Targeted Intervention to Reduce Smoking among People with Severe Mental Illness: Implementation of a Smoking Cessation Intervention in an Inpatient Mental Health Setting." Medicina 56, no. 4 (April 24, 2020): 204. http://dx.doi.org/10.3390/medicina56040204.

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Background and Objectives: Smoking and smoking-related harms are highly prevalent among people with severe mental illness. Targeted smoking cessation programs are much needed in this population. This pilot study aimed to assess the effectiveness of implementing smoking cessation system change interventions within an acute inpatient mental health unit. Materials and Methods: Design: Pre-post intervention study. System change interventions for smoking cessation were delivered over a three-month period (05 March 2018–04 June 2018) on an acute inpatient mental health unit. Participants (n = 214) were all individuals receiving care as inpatients during the three-month intervention. Outcomes assessed pre- and post-intervention were: (i) recording of patient smoking status in medical notes, (ii) number of inpatients offered smoking cessation medication, and iii) number of violent incidents reported. Results: Recording of smoking status significantly increased from 1.9% to 11.4% (X2 = 14.80; p ≤ 0.001). The proportion of inpatients offered smoking cessation treatment significantly increased from 11.0% to 26.8% (X2 = 16.01; p ≤ 0.001). The number of violent incidents decreased by half, which was not statistically significant. Conclusion: Evidence-based smoking cessation interventions can be successfully implemented on an inpatient mental health unit. Modest gains were made in routine screening for smoking and in smoking cessation treatment prescription. Future studies should prioritize effective participatory collaboration with staff to optimize effectiveness of interventions and should include additional strategies such as brief intervention training and smoking cessation treatments such as varenicline and buproprion in addition to nicotine replacement therapy (NRT).
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Soleimani Movahed, Maryam, Farid Khorrami, Abbas Sheikhtaheri, Mehdi Hasaniazad, Abdollah Gharibzadeh, Mina Kamali, and Nader Alishan Karami. "COVID-19 Inpatients in Sothern Iran: A Time Series Forecasting for 2020-2021." Hormozgan Medical Journal 25, no. 4 (December 29, 2021): 153–59. http://dx.doi.org/10.34172/hmj.2021.21.

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Background: The rapid spread of coronavirus disease 2019 (COVID-19) turned into a global pandemic and has already plunged health systems all over the world into an unprecedented crisis. The start of the third wave in the fall of 2020 is likely to trigger a higher prevalence in the upcoming months. This article analyzed the inpatients’ time series data in Hormozgan province to forecast the trend of COVID-19 inpatients using time series modelling. Methods: To forecast COVID-19 inpatients in Hormozgan province (Iran), this time series study included data related to the daily new cases of 1) confirmed inpatients, 2) suspected inpatients, 3) deaths, 4) alive discharged patients, 5) admitted cases to intensive care units (ICUs), 6) ICU discharged cases, and 7) ICU inpatient service day were collected from 22 hospitals in the province from 20 February to 13 November 2020. Autoregressive integrated moving average (ARIMAX) and Prophet methods were applied for forecasting the trend of inpatient indicators to the end of the Iranian official calendar year. We used the Python programming language for data analysis. Results: Based on the findings of this study which proved the outperformance of Prophet to ARIMAX, it can be concluded that time series of suspected inpatients, confirmed inpatients, recovered cases, deaths, and ICU-inpatient service day followed a downward trend while ICU-admission and discharge time series are likely taking an upward trend in Hormozgan to the end of the current Iranian calendar year. Conclusion: Prophet outperformed ARIMAX for inpatient forecasting. By forecasting and taking appropriate prevention, diagnostic and treatment, educational, and supportive measures, healthcare policy makers could be able to control COVID-19 inpatient indicators.
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Kovtun, M., I. Lapkina, and M. Kochina. "Indications for inpatient treatment of cataract." Oftalmologicheskii Zhurnal 66, no. 2 (March 28, 2017): 38–43. http://dx.doi.org/10.31288/oftalmolzh201723843.

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Bloomgarden, Z. T. "Inpatient Diabetes Control: Approaches to treatment." Diabetes Care 27, no. 9 (August 26, 2004): 2272–77. http://dx.doi.org/10.2337/diacare.27.9.2272.

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Newman, Thomas B. "Antibiotic Treatment for Inpatient Asthma Exacerbations." JAMA Internal Medicine 181, no. 4 (April 1, 2021): 427. http://dx.doi.org/10.1001/jamainternmed.2020.7229.

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Jones, Barbara G. "Handbook of Adolescent Inpatient Psychiatric Treatment." Journal of Psychosocial Nursing and Mental Health Services 33, no. 5 (May 1995): 48. http://dx.doi.org/10.3928/0279-3695-19950501-18.

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McMillan, Ian. "Treatment should reflect shorter inpatient stays." Nursing Standard 14, no. 23 (February 23, 2000): 6. http://dx.doi.org/10.7748/ns.14.23.6.s13.

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Ki, Seon Wan. "Inpatient Treatment Programs for Alcohol Dependence." Journal of the Korean Medical Association 49, no. 2 (2006): 128. http://dx.doi.org/10.5124/jkma.2006.49.2.128.

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