Abstract
Objective:
This study examined a cohort of 15,520 inpatient psychiatric discharges to determine associations between scheduling an outpatient mental health appointment as part of discharge planning and attending outpatient care following discharge after control for patient, hospital, and system characteristics.
Methods:
2012–2013 New York State Medicaid and other administrative databases were used to examine patients who were aged under 65 years, admitted to an inpatient psychiatric unit, and discharged to the community. Outcomes included attending an outpatient mental health service within 7 and 30 days following inpatient discharge. Scheduling a mental health outpatient appointment as part of the discharge plan was the primary predictor variable, and potentially confounding covariates were addressed by adjusting for propensity scores estimating the likelihood of having an outpatient appointment scheduled.
Results:
Among 15,520 discharged patients, 11,945 (77%) had an outpatient appointment scheduled with a mental health provider as part of their discharge planning. After adjustment for propensity scores, patients who had an outpatient appointment scheduled were significantly more likely to attend an outpatient mental health service within 7 (OR = 1.69; 95% CI, 1.48–1.94) and 30 days (OR = 1.65; 95% CI, 1.42–1.93) compared to patients who did not have an appointment scheduled. Even among those with a low propensity to have an appointment scheduled, scheduling an outpatient appointment was associated with attending outpatient services.
Conclusions:
Scheduling an outpatient mental health appointment is an effective and low-resource discharge planning practice that should be an important target for inpatient psychiatric clinical quality measurement and improvement.
The period immediately following discharge from inpatient psychiatric care poses substantial risks of serious and even life-threatening adverse outcomes. Foremost among them is the risk of premature treatment disengagement,1–4 which in turn increases the risk of relapse and hospital readmission,5–11 homelessness,12,13 violent behavior,14,15 criminal justice involvement,16,17 and all-cause mortality including suicide.18–20 These risks are especially concerning given the high rates of failed transitions from inpatient to outpatient mental health care: 42%–51% of adults1,2,21 and 31%–45% of youth21–24 do not receive any outpatient mental health treatment for their disorders within 30 days of inpatient discharge.
Scheduling timely appointments for outpatient mental health follow-up care is widely accepted as a standard of care for inpatient psychiatric treatment.25–30 Little is known, however, regarding the proportions of hospitalized individuals who receive this routine discharge planning activity as well as its effectiveness. Timely scheduling of initial outpatient visits following discharge has been associated with improved rates of attending outpatient mental health services,31–37 although negative findings have also been reported.38 However, nearly all prior studies were either single-site reports or did not rigorously control for differences between patients who did and did not receive scheduling of outpatient mental health appointments.4,32,39,40
In this study, we examined the association between having an outpatient mental health appointment scheduled as part of discharge planning and attending outpatient mental health care, controlling for several patient, hospital, and system characteristics in a cohort of over 15,000 inpatient psychiatric admissions. Additionally, we repeated the analyses for the subgroup of patients who had co-occurring substance use disorders, a patient population known to be especially unlikely to receive comprehensive discharge planning and at high risk for failed care transitions.41 For both analyses, we hypothesized that after control for potential confounds, patients who had an outpatient appointment scheduled as part of discharge planning would have a higher likelihood of attending an initial outpatient mental health service.
METHODS
Data were collected as part of a statewide quality assurance program and were obtained from 4 primary sources: (1) Medicaid claims records (including both patient and clinician data), (2) the 2012–2013 American Hospital Association Annual Survey, (3) the 2012–2013 Health Resources and Human Services Administration Area Resource File, and (4) a 2012–2013 New York State (NYS) Managed Behavioral Healthcare Organization (MBHO) Discharge File created during a statewide quality assurance program in which NYS contracted with 5 MBHOs in geographically distinct regions to review discharge planning practices for fee-for-service inpatient psychiatric admissions. Medicaid claims and the MBHO Discharge File data are owned by the NYS Department of Health and Office of Mental Health, respectively, and are not available for sharing. Area Resource File data are available from the federal Health Resources and Human Services Administration, and annual hospital survey data can be obtained from the American Hospital Association.
Patients were eligible for the initial sample if they (1) were < 65 years of age, (2) were admitted to an inpatient psychiatric unit during 2012–2013 with a principal diagnosis of a mental disorder, (3) had an inpatient length of stay of ≤ 60 days, (4) were discharged to the community, (5) had Medicaid eligibility for at least 11 of the 12 months prior to admission, and (6) were not Medicare beneficiaries. A total of 18,793 subjects met these criteria. Of these, 888 patients did not have information relating to outpatient appointments made as a part of the discharge plan, yielding a population of 17,905 subjects considered for propensity score adjustment (described subsequently). Only the first observed inpatient admission was included for patients with more than one inpatient psychiatric admission during 2012–2013. The local Institutional Review Board approved the study and granted a waiver of individual consent.
Variables of Interest
The outcome variables, which were calculated with Medicaid claims data, were defined as attending an outpatient mental health service within 7 and 30 days following inpatient discharge. An outpatient mental health service visit was defined as a Medicaid claim for a visit at a state mental health–licensed outpatient setting or any outpatient service with a primary diagnosis of a mental disorder provided by a mental health practitioner or physician. Outpatient visits were tracked for up to 60 days following hospital discharge, under the assumption that care transition practices were unlikely to affect longer-term outpatient follow-up care.
The primary independent variable was a dichotomous measure of whether the inpatient psychiatric treatment team scheduled a mental health outpatient appointment following discharge. This variable was reported for each discharge by the MBHOs, which were instructed to code whether an appointment for outpatient mental health treatment was part of the discharge plan for each case and, if so, to list the date of the appointment. In a reliability study, 214 randomly selected hospital medical records of patients included in the cohort were compared to MBHO ratings. Raters reviewing the hospital records were required to verify that the aftercare provider listed in the medical record was a licensed mental health clinic, mental health specialty provider (eg, Assertive Community Treatment), or behavioral health independent practitioner. Using these rating guidelines for the hospital medical records, we found acceptable reliability (κ = 0.43) between the MBHO reports of appointments being scheduled and documentation in the hospital medical records.
Propensity Score Adjustment and Analytic Plan
Given the observational nature of the data, we expected an imbalance among the patient, hospital, and service system characteristics of inpatients who did and did not have outpatient appointments scheduled as part of their discharge plan. Accordingly, among the 17,905 eligible subjects, propensity scores were created to account for the likelihood of inpatient providers’ scheduling an outpatient appointment. Propensity scores estimated the probability of having an outpatient mental health appointment scheduled conditional on observed patient, hospital, and service system factors.
Patient-level variables included demographic characteristics, primary inpatient discharge diagnosis, co-occurring substance use disorder at discharge, prior engagement in outpatient mental health services preceding admission, homelessness at admission, and burden of co-occurring medical conditions using a modified Elixhauser Comorbidity Index (ECI) that calculated scores based on clinical diagnoses recorded in inpatient or outpatient records during the 12 months prior to inpatient admission.42–44 The ECI score was modified to exclude mental disorder categories (depression, psychosis, alcohol use, and drug use) because all of the patients in the study population had a mental disorder diagnosis and we sought a measure capturing only non-psychiatric medical comorbidity.
Hospital-level variables included number of hospital beds, hospital ownership, psychiatric discharges, psychiatric discharges with substance use disorder diagnosis, percentage of psychiatric population with 2 or more psychiatric discharges, medical resident teaching status, and whether the hospital provided outpatient mental health services. Finally, service system variables based on counties in which patients resided documented regional mental health resources (provider density), poverty, and urban/rural regions. An additional variable was created to distinguish among the 5 different MBHOs reporting data in the study.
Using all 20 patient-, hospital-, and system-level variables, random forest regression was employed to construct the propensity scores for the likelihood of having an outpatient mental health appointment scheduled. Tuning parameters were optimized using the out-of-bag (OOB) misclassification rate with 4 randomly selected variables assessed at each node split, a leaf size of 1, and a maximum tree depth of 50 nodes. The OOB misclassification rate remained stable between 50 and 500 trees, so 50 trees were used. Once propensity scores were calculated, we examined the overlap of the distribution of propensity scores for those with and without appointments scheduled; 2,385 subjects exhibited propensity scores that were non-overlapping, ie, being either higher or lower than all scores in the opposing group, and were thus trimmed from the sample. Scores for the remaining 15,520 subjects were split into 5 strata of equal width. Standardized differences for all 20 independent variables were averaged across the 5 strata as a measure of achieved balance (see Table 1).
Table 1.
Patient-, Hospital-, and System-Level Characteristics of 15,520 Inpatient Psychiatric Patients
| Variable | Total Sample | Had an Outpatient Mental Health Appointment Scheduled |
Standardized Difference Mean Over Propensity Score Strata Column % | |||
|---|---|---|---|---|---|---|
| No (n = 3,575) |
Yes (n = 11,945) |
|||||
| n | Column % | n | Column % | |||
|
| ||||||
| Patient Level | ||||||
| Age, y | ||||||
| 4–12 | 1,294 | 187 | 5.23 | 1,107 | 9.27 | 0.10 |
| 13–17 | 1,885 | 473 | 13.23 | 1,412 | 11.82 | 0.12 |
| 18–35 | 4,785 | 1,043 | 29.17 | 3,742 | 31.33 | 0.07 |
| 36–64 | 7,556 | 1,872 | 52.36 | 5,684 | 47.58 | 0.09 |
| Sex | ||||||
| Female | 7,061 | 1,524 | 42.63 | 5,537 | 46.35 | 0.05 |
| Male | 8,459 | 2,051 | 57.37 | 6,408 | 53.65 | 0.05 |
| Race/ethnicity | ||||||
| Non-Hispanic white | 5,725 | 1,202 | 33.62 | 4,523 | 37.87 | 0.13 |
| Non-Hispanic black | 5,615 | 1,392 | 38.94 | 4,223 | 35.35 | 0.09 |
| Puerto Rican/Hispanic | 1,823 | 408 | 11.41 | 1,415 | 11.85 | 0.09 |
| Other | 1,347 | 352 | 9.85 | 995 | 8.33 | 0.07 |
| Unknown | 1,010 | 221 | 6.18 | 789 | 6.61 | 0.06 |
| Length of stay, d | ||||||
| 0–4 | 2,279 | 557 | 15.58 | 1,722 | 14.42 | 0.15 |
| 5–14 | 7,886 | 1,725 | 48.25 | 6,161 | 51.58 | 0.08 |
| 15–30 | 4,068 | 954 | 26.69 | 3,114 | 26.07 | 0.03 |
| 31–60 | 1,287 | 339 | 9.48 | 948 | 7.94 | 0.06 |
| Homeless at admission | ||||||
| No | 13,444 | 2,828 | 79.10 | 10,616 | 88.87 | 0.21 |
| Yes | 1,234 | 385 | 10.77 | 849 | 7.11 | 0.15 |
| Primary diagnosis at discharge | ||||||
| Schizophrenia disorders | 4,590 | 1,042 | 29.15 | 3,548 | 29.70 | 0.13 |
| Schizoaffective disorders | 1,697 | 378 | 10.57 | 1,319 | 11.04 | 0.04 |
| Bipolar disorders | 5,048 | 1,227 | 34.32 | 3,821 | 31.99 | 0.06 |
| Depressive disorders | 2,744 | 618 | 17.29 | 2,126 | 17.80 | 0.06 |
| Other mental health disorders | 1,441 | 310 | 8.67 | 1,131 | 9.47 | 0.16 |
| Co-occurring substance use diagnosis at discharge | ||||||
| No | 9,342 | 1,779 | 49.76 | 7,563 | 63.32 | 0.20 |
| Yes | 6,178 | 1,796 | 50.24 | 4,382 | 36.68 | 0.20 |
| Medical comorbidity in previous 12 mo (non-behavioral health)a | ||||||
| 0 | 4,746 | 1,048 | 29.58 | 3,698 | 31.31 | 0.06 |
| 1–3 | 7,531 | 1,683 | 47.50 | 5,848 | 49.52 | 0.03 |
| 4 or higher | 3,076 | 812 | 22.92 | 2,264 | 19.17 | 0.05 |
| Prior engagement in psychiatric outpatient services | ||||||
| Active (past mo) | 7,465 | 1,411 | 39.47 | 6,054 | 50.68 | 0.15 |
| Recent (past 12 mo, but not past mo) | 3,330 | 812 | 22.71 | 2,518 | 21.08 | 0.10 |
| None (none in past 12 mo) | 4,725 | 1,352 | 37.82 | 3,373 | 28.24 | 0.16 |
| Hospital Level | ||||||
| No. of hospital beds | ||||||
| Small: less than 100 | 544 | 90 | 2.52 | 454 | 3.80 | 0.13 |
| Medium: 100–499 | 7,877 | 1,699 | 47.52 | 6,178 | 51.72 | 0.13 |
| Large: 500 or more | 7,099 | 1,786 | 49.96 | 5,313 | 44.48 | 0.10 |
| Hospital ownership | ||||||
| Public | 4,226 | 1,107 | 30.97 | 3,119 | 26.11 | 0.08 |
| Private not-for-profit | 9,738 | 2,138 | 59.80 | 7,600 | 63.62 | 0.12 |
| Private for-profit | 1,556 | 330 | 9.23 | 1,226 | 10.26 | 0.09 |
| Psychiatric discharges that were Medicaid | ||||||
| Low: less than 49% | 3,044 | 634 | 17.73 | 2,410 | 20.18 | 0.06 |
| Medium: 49%-71% | 7,350 | 1,462 | 40.90 | 5,888 | 49.29 | 0.11 |
| High: over 71% | 5,126 | 1,479 | 41.37 | 3,647 | 30.53 | 0.15 |
| Hospital provides outpatient psychiatric services | ||||||
| No | 1,536 | 318 | 8.90 | 1,218 | 10.20 | 0.15 |
| Yes | 13,984 | 3,257 | 91.10 | 10,727 | 89.80 | 0.15 |
| Teaching hospital | ||||||
| No | 2,050 | 422 | 11.80 | 1,628 | 13.63 | 0.12 |
| Yes | 13,470 | 3,153 | 88.20 | 10,317 | 86.37 | 0.12 |
| Psychiatric discharges with substance use disorder diagnosis | ||||||
| Low: less than 34% | 3,249 | 753 | 21.06 | 2,496 | 20.90 | 0.11 |
| Medium: 34%-60% | 9,155 | 2,196 | 61.43 | 6,959 | 58.26 | 0.11 |
| High: over 60% | 3,116 | 626 | 17.51 | 2,490 | 20.85 | 0.08 |
| Psychiatric population with 2 or more psychiatric discharges | ||||||
| Low: less than 24.5% | 2,666 | 490 | 13.71 | 2,176 | 18.22 | 0.15 |
| Medium: 24.5%-35% | 7,915 | 1,738 | 48.62 | 6,177 | 51.71 | 0.07 |
| High: over 35% | 4,939 | 1,347 | 37.68 | 3,592 | 30.07 | 0.11 |
| System Level | ||||||
| Behavioral Health Organization | ||||||
| Western | 1,960 | 222 | 6.21 | 1,738 | 14.55 | 0.28 |
| Central | 1,119 | 164 | 4.59 | 955 | 7.99 | 0.16 |
| Hudson River | 4,256 | 1,101 | 30.80 | 3,155 | 26.41 | 0.11 |
| New York City | 6,584 | 1,852 | 51.80 | 4,732 | 39.61 | 0.20 |
| Long Island | 1,601 | 236 | 6.60 | 1,365 | 11.43 | 0.12 |
| County population in povertyb | ||||||
| Low: less than 15% | 5,225 | 1,067 | 30.24 | 4,158 | 35.14 | 0.08 |
| Medium: 15%-19% | 5,353 | 1,275 | 36.13 | 4,078 | 34.47 | 0.05 |
| High: 20% or higher | 4,783 | 1,187 | 33.64 | 3,596 | 30.39 | 0.08 |
| Mental health workers per 100,000 residentsb | ||||||
| Low: less than 67 | 976 | 128 | 3.63 | 848 | 7.17 | 0.13 |
| Medium: 67 to 166 | 8,526 | 2,010 | 56.96 | 6,516 | 55.07 | 0.15 |
| High: 167 or more | 5,859 | 1,391 | 39.42 | 4,468 | 37.76 | 0.17 |
| Urban/rural classificationb | ||||||
| Large central metro | 9,189 | 2,360 | 66.87 | 6,829 | 57.72 | 0.20 |
| Large fringe metro | 3,040 | 630 | 17.85 | 2,410 | 20.37 | 0.13 |
| Medium metro | 1,365 | 251 | 7.11 | 1,114 | 9.42 | 0.10 |
| Small metro | 655 | 134 | 3.80 | 521 | 4.40 | 0.10 |
| Micropolitan | 805 | 105 | 2.98 | 700 | 5.92 | 0.13 |
| Noncore | 307 | 49 | 1.39 | 258 | 2.18 | 0.05 |
Data missing for 167 cases.
Data missing for 159 cases.
Kaplan-Meier curves to visualize differences in outpatient care attendance over time between the two groups were used. Logistic regression models estimated the association between having an outpatient appointment scheduled and 7- and 30-day attendance at outpatient mental health services. Both logistic regression models were fit with generalized estimating equations to control for the within-hospital correlation of observations and adjusted for propensity score stratum. We also fit models by adding an interaction term to test whether propensity score stratum influenced the association between having an appointment scheduled and attending outpatient care. Finally, the full analysis was repeated for those subjects with a co-occurring discharge diagnosis of substance use disorder.
All analyses were performed using SAS version 9.4 (2016; SAS Institute Inc; Cary, North Carolina), including PROC HPFOREST in SAS Enterprise Miner for random forest regression.
RESULTS
The final analytic sample included 15,520 unique individuals discharged from inpatient psychiatric units to the community during the 2-year study period for whom information was available regarding whether a post-discharge appointment was scheduled prior to their discharge. Among these discharged patients, 11,945 (77%) had an outpatient appointment scheduled with a mental health provider as part of their discharge planning. Of the total sample, 5,958 (38%) attended an outpatient mental health service within 7 days following discharge and 9,146 (59%) attended a service within 30 days of discharge.
Figure 1 shows the cumulative rate of patients attending outpatient mental health visits following discharge, with separate curves displaying cumulative probabilities for those who had and did not have an outpatient mental health appointment scheduled as part of their discharge plan. The differences between the two groups was evident by the second day following discharge and increased in magnitude until around day 10 following discharge; after day 10, the difference in cumulative probabilities of attending outpatient visits between those who did or did not have appointments scheduled appeared relatively constant (Figure 1). The proportions of patients attending outpatient visits within 7 and 30 days were 23% and 39%, respectively, for patients who did not have appointments scheduled as part of their discharge plans, versus 43% and 65%, respectively, for patients who did have appointments scheduled prior to discharge.
Figure 1.

Cumulative Rates of Patients Attending Outpatient Mental Health Appointments Following Discharge From a Psychiatric Inpatient Unit (N = 15,520)
Patient-, hospital-, and system-level characteristics of the 15,520 patients are presented in Table 1. For propensity score stratification, standardized differences were calculated comparing patients who did and did not have an outpatient mental health appointment scheduled as part of their discharge plan. After trimming cases to create the final propensity score strata and optimally minimize residual bias,45 only 2 variables had standardized difference scores > 0.2 (Table 1): homelessness status at hospital admission and MBHO completing the review. We additionally controlled for those 2 variables in a sensitivity analysis, and the results did not change.
Table 2 summarizes results of unadjusted and adjusted logistic regression models for the association between having an outpatient appointment scheduled as part of discharge planning and attending an outpatient mental health service within 7 and 30 days following discharge. In the propensity score–adjusted model, patients who had an outpatient appointment scheduled as part of their discharge plan were significantly more likely to attend outpatient services within 7 days (OR = 1.69; 95% CI, 1.48–1.94; P < .0001) and 30 days (OR = 1.65; 95% CI, 1.42–1.93; P < .0001) of hospital discharge as compared to those who did not have an appointment scheduled.
Table 2.
Unadjusted and Adjusted Associations Between Having an Outpatient Mental Health Appointment Scheduled and Attending Outpatient Mental Health Services Within 7 and 30 Days Following Discharge
| Patient Group | Had an Outpatient Appointment Scheduled |
Unadjusted |
Adjusted |
|||||
|---|---|---|---|---|---|---|---|---|
| n | % | OR | 95% CI | P | OR | 95% CI | P | |
|
| ||||||||
| Total sample (n = 11,945) | ||||||||
| 7-Day attendance | 5,152 | 43.13 | 2.61 | 2.16–3.15 | < .0001 | 1.69 | 1.48–1.94 | < .0001 |
| 30-Day attendance | 7,747 | 64.86 | 2.87 | 2.33–3.54 | < .0001 | 1.65 | 1.42–1.93 | < .0001 |
| Co-occurring substance use subgroup (n = 3,971) | ||||||||
| 7-Day attendance | 1,347 | 33.92 | 2.75 | 2.24–3.38 | < .0001 | 2.05 | 1.68–2.51 | < .0001 |
| 30-Day attendance | 2,157 | 54.32 | 2.72 | 2.25–3.28 | < .0001 | 1.83 | 1.52–2.2 | < .0001 |
Abbreviation: OR=odds ratio.
Figure 2 displays results for each of the 5 propensity score strata at 7 and 30 days, respectively. Individuals who had an outpatient mental health appointment scheduled as part of their discharge plan had a greater odds of attending an outpatient mental health service following discharge regardless of the probability of having been scheduled for an appointment. In Figure 2, even in propensity score stratum 1, representing patients with the highest concentration of characteristics associated with not having an outpatient appointment scheduled, having an appointment scheduled increased the odds of attending an outpatient visit within 7 days. This association was significant for all strata except for stratum 1, in which it failed to achieve a P value < .05 in part because of the small sample size. This stratum included 387 patients who did not have an outpatient mental health appointment scheduled as part of their discharge plans and 29 patients who had an outpatient appointment scheduled.
Figure 2.

Probability of Attending an Outpatient Mental Health Service Within (A) 7 Days and (B) 30 Days Following Inpatient Discharge
The propensity score analysis was repeated for the subgroup of discharged patients with a co-occurring substance use diagnosis at hospital discharge (n = 5,744). Of these patients, 1,626 (28%) and 2,697 (47%) attended an outpatient visit within 7 and 30 days, respectively. In the adjusted model for this subgroup, patients who had an outpatient appointment scheduled with a mental health provider as part of their discharge plan were more likely to attend outpatient mental health services within 7 days (34% attended a visit; OR = 2.05; 95% CI, 1.68–2.51; P < .0001) and 30 days (54% attended a visit; OR = 1.83; 95% CI, 1.52–2.2; P < .0001) as compared to those who did not have an appointment scheduled (Table 2). Odds ratios favored patients who had appointments scheduled and were significant at P < .05 for all analyses except for the 7-day outcome in stratum 1, which included patients who were least likely to have an appointment scheduled and was much smaller. This stratum included 40 patients who did not have an appointment scheduled and 5 who did have an appointment scheduled.
DISCUSSION
Scheduling follow-up mental health appointments is an accepted standard of care for inpatient psychiatric discharge planning, and there is no rationale for not completing this routine practice. There is, however, little research documenting the prevalence of this practice and its impact on care transitions. These questions are especially relevant given the substantial proportions of patients who fail to attend outpatient mental health care in a timely manner following discharge from inpatient psychiatric units: 41% of discharged patients in this study did not see an outpatient mental health provider in the 30 days following discharge, similar to in other published reports.1,2 Discharge planning practices that promote successful care transitions should be key focus areas for clinical quality measurement and improvement activities.
We had a unique opportunity to evaluate the association between this discharge planning activity and successful care transitions by linking multiple administrative databases for a large cohort. Psychiatric inpatient teams scheduled outpatient follow-up appointments with a mental health provider for 77% of more than 15,000 Medicaid beneficiaries discharged from psychiatric inpatient units over a 2-year period. Patients who had a post-discharge appointment scheduled were significantly more likely to attend an outpatient mental health service within both 7 and 30 days following hospital discharge, even after control for a wide range of factors that were correlated with scheduling a follow-up appointment. Our data also indicate that scheduling an appointment as part of the discharge plan is most likely to have an impact on care transitions in the first 7–10 days following discharge. This finding is consistent with known standards of care endorsing scheduling appointments within 7 days following discharge; one would not expect routine discharge planning activities to influence treatment behaviors over longer periods following discharge when other clinical, social, and environmental factors become more likely to have an impact.
Although we could find no published data for comparison, our finding that 77% of discharged patients had an outpatient appointment scheduled as part of their discharge plan appears lower than expected given that this routine practice is a standard of care for hospitalized patients endorsed by opinion leaders,25 the Institute of Medicine,26 the National Committee for Quality Assurance,27 and the Joint Commission.28 There are several reasons why psychiatric inpatient teams may not schedule post-discharge appointments including patients refusing follow-up, lack of community providers able to see patients in a timely manner, and short lengths of stay that strain resources to complete adequate discharge planning. Further research is needed to identify strategies for psychiatric inpatient teams to increase rates of completing routine discharge planning activities for all patients regardless of their care coordination needs.
Of note, 50% of the patients who did not have an appointment scheduled had a co-occurring substance use disorder (as compared to 37% of those who had an appointment scheduled). This group very likely included patients with substance use disorders that directly impacted their participation in care and follow-up, for example through refusal to accept substance use aftercare recommendations or a desire to leave the hospital prematurely when experiencing withdrawal symptoms or severe cravings. This finding could also reflect negative staff attitudes toward patients with substance use disorders that in turn can influence the quality of care.46 Co-occurring substance use is a well-established predictor of poor outcomes in psychiatric treatment, and hospital providers should be encouraged to pay greater attention to its management in acute settings. This is especially important given our finding that scheduling an aftercare appointment remained significantly associated with attending a visit following discharge within this subgroup of discharged patients with a co-occurring substance use disorders.
We also note geographic variation in the proportion of discharged patients for whom providers scheduled outpatient appointments. Among patients treated in hospitals in the large, urban/metropolitan area of New York City and the neighboring Hudson River region, 72% and 74%, respectively, had appointments scheduled as part of their discharge plans. These rates were lower than those observed among patients treated in hospitals in the Long Island (85%), Central (85%), and Western (89%) regions. This difference could reflect different standards of care across the regions or variability in data collection and reporting across the MBHOs. It may also reflect racial/ethnic disparities in treatment planning given the higher rates of minority populations treated in large urban/metropolitan areas such as greater New York City. We did not find an impact of race/ethnicity in our aforementioned statewide analysis, but given known racial/ethnic disparities in mental health treatment outcomes, this is an area deserving further focus.
Having an outpatient appointment scheduled as part of discharge planning increased the odds of attending a mental health service following discharge in all propensity score strata, indicating that this routine discharge planning activity was effective even in subgroups of patients at highest risk for not having an outpatient appointment scheduled. It would be neither feasible nor appropriate to attempt a randomized clinical trial to estimate the impact of routine discharge planning practice such as scheduling follow-up appointments. Instead, propensity score stratification allowed us to minimize potential bias associated with a range of patient, hospital, and service system covariates. Of note, these covariates included homelessness, the presence of a co-occurring substance use disorder, and a history of not engaging in care prior to admission, which are known predictors of failed care transitions and other adverse outcomes following discharge. Psychiatric inpatient clinicians may believe that routine discharge planning will be ineffective based upon their prior experiences with these complex patients, who commonly need more intensive care management interventions to increase the likelihood of successful care transitions.1,2,5–9 However, data from this study suggest that even among patients who were both least likely to receive discharge planning and most likely to have failed care transitions, scheduling an appointment with an outpatient mental health provider following discharge increased the odds of a successful care transition. Scheduling follow-up outpatient mental health appointments is a low-resource activity that should be considered an important target for hospital continuous quality improvement initiatives to improve discharge planning and increase rates of successful care transitions.
Several potential limitations of the study must be considered. Although we controlled for a range of patient, hospital, and service system variables, there are quite likely additional unmeasured variables that may affect attendance at outpatient appointments, eg, transportation limitations and attitudinal factors. There is also significant potential for measurement error given that we relied on multiple MBHOs independently reporting provider discharge planning activities. Findings from a Medicaid population may not generalize to commercial or Medicare populations due to a number of factors, and the New York State Medicaid population that served as our source for the study sample is likely to be different from other state Medicaid populations given variations in eligibility and enrollment practices across states.
Despite these potential limitations, the findings should be of interest to policy makers and clinical leaders. Future research should examine mechanisms underlying successful discharge planning and care transitions, including potentially relevant issues such as the role of familiarity of the community-based provider and whether additional discharge planning practices (forwarding care summaries, follow-up communications) further improve engagement in care following hospital discharge. An increasingly common approach to discharge planning for high-need patients is to refer to walk-in clinics, presuming that allowing the patient flexibility in determining when to follow-up after discharge may increase the likelihood of a successful transition. It is not clear whether failing to schedule appointments at fixed dates and times and allowing this flexibility will increase or decrease the likelihood of successful care transitions for various patient groups. Finally, for some patients, routine discharge planning practices such as scheduling outpatient mental health appointments will be insufficient to ensure a successful care transition. Research is needed to identify these individuals and determine what levels of increasingly intensive care transition interventions are necessary to meet their needs. In the meantime, findings underscore the importance of scheduling outpatient appointments as part of routine discharge planning for patients being treated in psychiatric inpatient units.
Clinical Points.
Scheduling a follow-up outpatient mental health appointment is a widely recommended discharge planning practice for inpatient psychiatric care, yet little is known regarding how often patients receive this practice as well as its effectiveness.
Scheduling an outpatient appointment increased the odds of patients attending a post-discharge appointment after controlling for a wide range of patient, hospital, and service system characteristics known to impact care transitions.
Even among patients at highest risk for failed care transitions—eg, those who were homeless, had co-occurring substance use disorders, or were not engaged in care prior to admission—scheduling an aftercare appointment significantly increased the odds of a successful care transition.
Funding/support:
Research supported by a grant (R01MH106558) from the National Institute of Mental Health (NIMH).
Role of the sponsor:
NIMH had no role in the conduct and publication of the study.
Footnotes
Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Disclosure of off-label usage: The authors have determined that, to the best of their knowledge, no investigational information about pharmaceutical agents or device therapies that is outside US Food and Drug Administration–approved labeling has been presented in this activity.
Financial disclosure: Drs Smith, Wall, Essock, Frimpong, Goldman, Radigan, Schneider, Dixon, and Olfson; Mss Haselden, Tang, and Wang; and Messrs Corbeil and Mascayano have no personal affiliations or financial relationships with any commercial interest to disclose relative to the article.
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CME Objective
- Schedule follow-up mental health appointments as part of the standard of care for inpatient psychiatric discharge planning
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Financial Disclosure
All individuals in a position to influence the content of this activity were asked to complete a statement regarding all relevant personal financial relationships between themselves or their spouse/partner and any commercial interest. The CME Institute has resolved any conflicts of interest that were identified. In the past year, Marlene P. Freeman, MD, Editor in Chief, has received research funding from JayMac and Sage; has been a member of the advisory boards for Otsuka, Alkermes, and Sunovion; has been a member of the Independent Data Safety and Monitoring Committee for Janssen; has been a member of the Steering Committee for Educational Activities for Medscape; and, as a Massachusetts General Hospital (MGH) employee, works with the MGH National Pregnancy Registry, which is sponsored by Teva, Alkermes, Otsuka, Actavis, and Sunovion, and works with the MGH Clinical Trials Network and Institute, which receives research funding from multiple pharmaceutical companies and the National Institute of Mental Health. No member of the CME Institute staff reported any relevant personal financial relationships. Faculty financial disclosure appears at the end of the article.
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