Recurrently Readmitted Inpatient Psychiatric Patients: Characteristics and Care



Recurrently Readmitted Inpatient Psychiatric Patients: Characteristics and Care


William H. Sledge

Christine L. Dunn




“Recidivist,” “frequent flyer,” “revolving door,” and “high user” are some of the not-so complimentary terms that have been used to refer to patients who are recurrently admitted to the hospital. This phenomenon is hard on everyone. There is no indication that patients find it a satisfactory way of engaging the mental health system (despite some older reports that these patients like to be in the hospital).1,2 Patients’ families and loved ones (when they are in the patients’ lives) find it disruptive and alarming, and health care professionals frequently range from being annoyed to being substantially troubled. When employers of the patients are involved, they do not stay involved long. In general, it is not an effective way of getting mental health services to patients who need the services.

This pattern of use has been a preoccupation among health care professionals for some time, and that concern is represented in a robust literature that spans several eras of psychiatry in the last half of the 20th century. Geller,3 one of the most creative and passionate investigators on the recurrent readmission (RR) phenomenon, provided a historical perspective in his account of a state hospital that spanned a 100 years during the last part of the 19th century and the first part of the 20th century. He suggests the RR phenomenon may be a nasty side effect of deinstitutionalization and the fragmented mental health care that resulted in many states.3,4 (See also, Chapter 1.)

This chapter will examine these and other perspectives as the authors review briefly some of the literature addressing the phenomenon of the recurrently admitted (to psychiatric hospitalization) patient. The authors will describe some of their work at the Yale-New Haven Psychiatric Hospital (YNHPH) in attempting to understand and intervene with this problem. The focus here will be on those patients who are recurrently admitted to the hospital. Although these patients may be a subset of those with persistent and severe mental illness, one of the repeated questions of
the literature is to what degree the group of recurrently readmitted inpatient psychiatric patients (RRIPP) is coincident with the broader category of persistently and severely mentally ill and if there might be subcategories of RRIPP that are not typical of patients with severe and persistent mental illness.


Selected Review of the Literature

The RRIPP phenomenon has been explored and given different meanings over the years. Each era has imposed its particular issues on the phenomenon. The last 40 years have seen three substantial English language reviews5, 6, 7 and one German review.8 The authors will refer to these reviews and others as they develop a variety of themes and perspectives.


DEFINITION

What exactly is taken to constitute RR has varied in the literature, rendering comparisons among studies difficult and meta-analyses almost impossible. Not only have investigators used different rates of readmissions as the criterion, but also other measures have been suggested, such as days in hospital, time between hospitalizations, community tenure, and complex indices taking into consideration not only variables such as number of hospitalizations and rate, but also age at first hospitalization and associated costs. Byers and Cohen9 reported the only study the authors of this chapter found that explored the relationships between some of these various outcomes. They found that readmission within 1 year correlated with number of days in the community at the 0.69 level and with the number of days to first readmission at 0.89, and that the number of days in the community correlated with number of days to first admission at the 0.71 level. These findings suggest that these different definitions are not too discordant from one another. Without a consensus for the definition of RR, naturally it will not be possible to get a consensus on who the RRIPP are. Nonetheless, a common picture does emerge when one puts together all the available evidence. The standard of using the rate of admission of three (or more) within 18 months has been more widely adopted than any other standard.


SALIENCE OF RECURRENT READMISSION

As the RR phenomenon emerged as a research focus in the 1970s, some authors asserted that these returnees were “failures” on the part of the hospital, either because the hospital could not effect appropriate psychological or situational change, or the hospital was unable to provide adequate aftercare.5 More narrowly, DiScipio and Sommer10 considered readmission within 30 days of a therapeutic failure, reflecting either an error in judgment or failure to provide proper aftercare. However, several authors questioned the use of the readmission rate as a measure of the quality of care, at least of the hospital. Voineskos and Denault,11 Solomon and Doll,12 and Erickson and Paige13 all agreed that it is a fallacy to use the readmission rate as a measure of effectiveness of the hospital because the hospital did not control the actions of patients once they left, did not control the outpatient services, and did not have the ability to predict who might be vulnerable to return.

From 1955 to 2000, the population of state hospitals for the mentally ill went from 558,000 to 55,000,4 varying, of course, by region and state. As this massive cutback of inpatient services was coming to a close, an emphasis emerged in the public sector on the organization and management of community-based treatments. This heralded a time of professional preoccupation with rehospitalization rates, the adequacy of community services, and the high cost of rehospitalization. Managed care or rather “managed cost” policies were prevalent in the practice of inpatient psychiatry. Some studies directly addressed the effects of managed care, such as the reduction of length of stay in the hospital. For example, Appleby et al.14 examined whether patients who had a short length of stay were more likely to be readmitted. Length of stay was statistically significantly related to time to relapse after the effect of the number of previous admissions was taken into consideration. However, the small size of the effect raised questions about clinical significance. The authors argued that some patients need to stay in the hospital longer in order to recover sufficiently to remain out of the hospital because of the finding that the likelihood for readmission within 30 days was significantly higher in those with brief hospitalizations.



PREDICTION

Major themes of the literature have been the questions: Who are the RRIPPs? Can RR be predicted? And how did these patients end up using so much inpatient care? Many studies attempt to predict or show associations with RR even when the primary focus of the study is on some narrowly defined issue. Rather than discussing them individually and at length, the authors have summarized the results in Table 13.1 of studies that attempt to answer the questions in the preceding text. References in Table 13.1 are listed chronologically and include reports since 1970 that include a definition of RR and an inferential statistical approach to estimating the probability of variables’ being associated with membership in the RR group. But because the definitions of RR differ widely, these results are not easily comparable. The authors’ discussion in this section will take up measures of demographic variables, clinical features of symptoms and diagnoses, and attitudes toward clinical care and their illness. Later special issues and treatment and prevention approaches will be addressed.

Demographically, on first look the findings seem diverse and at times inconsistent among studies. Klinkenberg and Calsyn,7 the review most oriented to research method, emphasized the shortcomings of the research designs and methods as a major cause of this variation through the use of underpowered studies and the failure to use multivariate statistics to control for multicollinearity. Nevertheless, summarizing from the table of 31 selected reviews spanning 33 years from 1973 to 2006, the authors find the following:



  • No studies reported female gender more likely to be associated with RR; 4 reported male gender more likely to be associated with RR; and 30 found no difference or reported no gender findings.


  • Race barely ever distinguished RRIPP from non-RRIPP.


  • Youth was associated with RR status in nine studies, and no studies reported any other age-group more likely to be in the RR status.


  • Being unmarried was associated with RR status in three studies, and being married was not associated with RR status in any study.


  • Unemployment was positively associated with RR status in three studies.


  • Educational level was not a factor in any study.

In general, taking the studies in Table 13.1 together, one could say that there was a trend for patients to be male, younger, unmarried, and unemployed. However, it is important to note that almost all these associations fell out when there was control for one or two other variables such as a history of recurrent hospitalizations. None of these demographic variables have the specificity and sensitivity to be considered predictors of the RR.

Patient attitudes toward care have received a fair amount of attention, especially compliance.15, 16, 17, 18, 19, 20 Of the authors’ selected group of references, five reported a highly significant correlation between noncompliance with medication and frequent rehospitalization.

Diagnostically and clinically, psychosis is the more prevalent condition with nine references (four for schizophrenic diagnosis and five additional with psychotic symptoms). Yet other conditions were found in some studies, as follows: four for substance abuse and three for affective disorders. In addition to categoric diagnostic and symptom complex clinical characterizations, some studies reported correlations with RR through severe symptoms2 or chronicity.2 However, the main feature that was associated with RR status was former hospitalization: 13 studies reported an association and when multivariate statistics were used to control for multicollinearity, other associations usually dropped out of statistical significance.

Some, though, have found little difference between RRIPP and other patients. Lucas et al.21 did a 6.5-year study of 193 inpatients who were heavy users of inpatient care and compared them with a control group of 400 inpatients. Heavy users were diagnostically and demographically similar to ordinary inpatients, despite the fact that they used services at roughly three times the rate of other inpatients in terms of health care costs.

Social issues have also been given strong consideration in the literature. Kent and Yellowlees22 determined that social factors contributed to 39% of admissions. These social factors included relationship problems such as dysfunction and conflict in relationships, acute loneliness, social isolation, and lack of adequate continuous social supports, from either professionals or natural social networks. Another social issue of importance is the association of RR with homelessness in some studies.23 Casper24 found homelessness and a history of arrest to be important contributions to readmission.










TABLE 13.1 SUMMARY OF CITATIONS PREDICTING RECURRENT PSYCHIATRIC HOSPITALIZATION









































































































































































































































































































































Citation (First Author)


Date


Number of Subjects


RRIPP (%)


RRIPP Criteria


Study Design


Patient Qualities Associated with RRIPP


Demographic


Behavioral


Clinical


Buell


1973


78


100.0


≥2/6 mo


Rec rev, MV


None


Prev hsp


Length of last hospitalization


Fontana


1975


54


19/39


≥2/6, ≥ 2/12 mo


Prosp


 


 


Chronicity


Franklin


1975


107


33.6


≥2/12 mo


Random sample, prosp


 


Source of income, mar pblms


Sub ab (alcohol)


Voineskos


1978


572


13.6


≥5/24 mo


Rec rev


Male, unmarr, unempld


Prev hsp


 


Byers


1979


129


 


≥2/12 mo


Rec rev, MV


 


Invl


 


Joyce


1981


169


14.2


≥2/6 mo


Prosp and rec rev


Prev hsp


 


 


Lambert


1983


22,062


25.0


≥2/69 mo


Rec rev, dis anlys


Age (-)


Lived in state, indigent


Psych syms


Abramowitz


1984


1,919


23.0


≥2/48 mo


Rec rev, MV


 


Invl


 


Carpenter


1985


1,960


5.8


≥3/12 mo


Matched control


 


Noncmpy, prev hsp


Sub ab


Setz


1985


400


45.0


≥2/15 mo


Prosp, surv anlys


Age (-), ethnic (w)


Prev hsp


 


Woogh


1986


1,722


7.0


≥3/72 mo


Rec rev


Males, age (-), unempld


 


Psychotic (47%)


Surber


1987


97


 


≥3/12 mo


 


 


 


 


Green


1988


25


 


≥3/18 mo


Matched control, rec rev


 


Noncmpt


 


Havassy


1989


300


32.0


≥2/12 mo


Rec rev, MV


Unempld


Prev hsp


Schz, affect dis, pers dis


Casper


1990


86


 


 


Rec rev


Unmarr


Noncmpt


Sub ab


Casper


1990


94


7.0


 


Rec rev, clus anlys


 


 


 


Hadley


1990


11,399


5.0


≥rounded mean of costs


 


Age (-)


 


Schz and affect dis


Appleby


1993


1,500


53.0


≥2/18 mo


Rec rev, surv anlys


Age (-)


Prev hsp


 


Casper


1993


416


 


 


Rec rev, clus anlys


 


Noncmpt


 


Casper


1995


195


38.0


≥3/18 mo


Prosp, clus anlys


 


Homelessness, arrest


 


Swett


1995


189


16.9


≥1/1 mo



 


 


Psych syms


Haywood


1995


135


89.0


Unclear


Prosp, MV


 


Noncmpt, prev hsp


Sub ab


Kent


1995


50


 


≥3/36 mo


Retrospective rev. with therapist and pts


Unmarr


 


Chronicity, sub ab


Postrado


1995


559


 


≥2/2 and ≥2/12 mo


Rec rev, MV


 


Prev hsp


Sev syms


Sanguineti


1996


1,755


17.9


>1/12 mo


Prosp


Age (-), male, AA


 


Schz


Lyons


1997


255


17.6


≥1/6 mo


Rec rev, MV


 


 


Sev sym


Perlick


1999


100


24/44


≥2/6, ≥2/15 mo


Prosp, surv anlys


Age (-)


Prev hsp


Neuroveg dep


Lucas


2001


193


10.0


Index


Matched control


 


Prev hsp


 


Roick


2004


307


12.0


≥3/30 mo


Prosp, MV


Male, age (-)


Prev hsp


Psych syms


Bobo


2004


814


14.0


≥2/13 mo


Rec rev


 


Prev hsp


Hx child psych, psych aff dis


Rosca


2006


2,150


 


≥2/120 mo


Rec rev, MV


Age (-)


Invl


Schz


Citation, first author only; Date, of publication; Number of subjects, total population measured; % RRIPP, percent of total population that are recurrently admitted; RRIPP criteria, expressed in rate of admission per number of months; rec rev, archival source; prosp, prospective data; MV, multivariate analysis; surv anlys, survival analysis; pts, patients; RCD, random control design; dis anlys, discriminate analysis; clus anlys, cluster analysis; unmarr, umarried; unempld, unemployed; AA, African American; prev hsp, previous hospitalization; psych, psychotic; syms, symptoms; schz, schizophrenic; noncmpt, noncompliant with treatment; invl, involuntary status; dx, diagnosis; dis, disorder; sub ab, substance abuse; mar pblms, martial problems.


(Data from references 1,9,11,14, 15, 16, 17, 18, 19, 20, 21,24,35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53.)

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Aug 27, 2016 | Posted by in PSYCHIATRY | Comments Off on Recurrently Readmitted Inpatient Psychiatric Patients: Characteristics and Care

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