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Online ISSN: 1099-176X    Print ISSN: 1091-4358
The Journal of Mental Health Policy and Economics
Volume 7, Issue 1, 2004. Pages: 29-35

Published Online: 15 Mar 2004

Copyright © 2004 ICMPE.


 

Coping with Disasters: Estimation of Additional Capacity of the Mental Health Sector to Meet Extended Service Demands

Carole Siegel,1* Joseph Wanderling,2 Eugene Laska3

1Director, Statistics and Services Research Division; Nathan Kline Institute of Psychiatric Research and Research Professor, New York University Medical Center, Department of Psychiatry, Orangeburg, NY, USA
2Research Scientist, Statistical Sciences Laboratory, Statistics and Services Research Division; Nathan Kline Institute of Psychiatric Research, Orangeburg, NY, USA
3Head, Statistical Sciences Laboratory, Statistics and Services Research Division; Nathan Kline Institute of Psychiatric Research and Research Professor, New York University Medical Center, Department of Psychiatry, Orangeburg, NY, USA

* Correspondence to: Carole Siegel, Ph.D., Director, Statistics and Services Research Division, Nathan Kline Institute of Psychiatric Research, OMH Nathan Kline Institute for Psychiatric Research, 140 Old Orangeburg Rd., Orangeburg, NY, 10962, USA
Tel.: +1-845-398 6590
Fax: +1-845-398 6592
E-Mail: siegel@nki.rfmh.org

Source of Funding: NIMH Grant # MH P5051359-09 and the NYS Office of Mental Health

Abstract

The September 11th disaster resulted in increased demand for mental health services. We examine whether service delivery rates in New York State could be increased (regression models), estimate the additional capacity within the system (increasing service delivery rates to the median and 75th percentiles of the rates), and estimate shortfall. The estimates of percent increase in services based on the median and 75th percentile are respectively 12% and 27%.  An estimate of need of .03 suggested by epidemiological data, and the assumption that one to 10 services might be required in a six month period, lead to shortfall estimates based on the median and 75th percentile respectively of between 22-92% and   –44% to 86%.  An estimate of need of .05 produces median and 75th percentile shortfall estimates of 59-96% and 10-91%.These estimates suggest that additional funding and personnel are needed to provide mental health services in the event of a major disaster.  

 

Background: The September 11th disaster in New York City resulted in an increase in mental health service delivery as a vast network of providers responded to the urgent needs of those impacted by the tragedy. Estimates of current capacity, potential additional capacity to deliver services and of potential shortfall within the mental health sector are needed pieces of information for planning the responses to future disasters.
Aims of the Study: Using New York State data, to determine the distribution of clinical service delivery rates among programs and to examine an explanatory model of observed variation; to estimate potential additional capacity in the mental health sector; and to estimate shortfall based on this capacity and data from studies on the need and use of services post September 11th.
Methods: Empirical distributions of weekly clinical service delivery rates in programs likely to be used by persons with post disaster mental health problems were obtained from available data. Three regression models were fit to explain rate variation in terms of unmodifiable program characteristics likely to impact the rates. We argue that rates could not be easily increased if any of the models had good explanatory power, and could be increased if it did not. All models had poor fit. We then assumed that the median and 75th percentile of the clinical service delivery rates were candidates for the minimum production capability of a clinician. The service rates of those clinicians whose rates fell below these quartiles were increased to the quartile value to yield estimates of potential additional capacity. These were used along with data on clinical need to estimate shortfall.
Results: There is substantial variation in clinical service delivery rates within impact regions and among programs serving different age populations. The estimate of the percent increase in services overall based on the median is 12% and based on the 75th percentile is 27%. Using an estimate of need of .03 suggested by available data, and a range of services (1-10) that might be required in a six month period, shortfall estimates based on the median ranged between 22-92% and for the 75th percentile from no shortfall to 86%. A less conservative estimate of need of .05 produces median shortfall ranging between 59-96% and for the 75th percentile between 10-91%.
Limitations: While the program descriptor variables used in the explanatory model of rates were those most likely to impact rates, explanatory power of the model might have increased if other characteristics that are not modifiable had been included. In this case, the assumption that service production can be increased is called into question.
Implications for Health Care Provision and Use: In the first six months post September 11th, in New York State (NYS) 250,000 persons received crisis counseling through Project Liberty. In 1999, NYS served approximately that same number in mental health clinic programs during the entire year. The estimates of this study suggest that additional funding and personnel are needed to provide mental health services in the event of a major disaster.
Implications for Health Policies: A disaster plan is needed to coordinate the use of current and additional personnel including mental health resources from other sources and sectors.


Received 2 January 2004; accepted 23 February 2004

Copyright © 2004 ICMPE