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Health Care for the Homeless Outcome Measures

 
 

 

Philadelphia Health Management Corporation

260 South Broad Street
Philadelphia, Pennsylvania 19102
Contact: Betty Morrell, MSE
Phone: (215) 985-2554
Key words: management information systems (MIS); client records; case management services

OBJECTIVE

The purpose of this study was to determine whether or not online availability of data would improve the delivery of health care services to clients.

METHODS
In October 1996, the Philadelphia Health Management Corporation (PHMC) initiated a prospective analysis of the benefit of automation to social workers and case managers working on HCH projects at PHMC. For this study, major enhancements to the social work features of the HCH Management Information System (HCH-MIS) used by HCH projects were completed in January 1997, with additional modifications made through August 1997.

The hypothesis of the PHMC study was that the provision of interactive service plan and progress note features in the HCHMIS and the on-line availability of related data would accomplish the following: 1) help staff review and monitor clients_ level of functioning and 2) improve staff documentation, thereby indirectly enhancing the delivery of services to their clients.

The study design included both an experimental (pilot) and a control group. The groups were stratified so that the three HCH programs and the four supervisors associated with those programs were represented proportionately in both groups. The number of staff that could be assigned to the pilot group was limited by the number of personal computers available for staff use. Two of the five pilot staff were assigned laptops which could be used in shelters or networked in the office when needed. However, the laptop users were not required to do so in the presence of a client, and usually used the laptop as a desktop in the office. Other pilot staff used desktop computers permanently located in a home office, rather than a shelter.

Initially, five HCH social workers or case managers were randomly assigned to the experimental (pilot) group. The remainder of the HCH social workers and case managers (11) were placed in the control group. Various staff changes caused the composition of both the pilot and control groups to change somewhat throughout the data collection period. Most of the staff changes affected the control group, which usually included thirteen staff collecting data during a sampling period.

Each member of the control group submitted paper contact forms, weekly service plans, and related progress notes. The data on these forms (excluding progress notes) were entered into the HCH-MIS by data entry staff. Beginning in mid-February, staff in the pilot group were required to enter the same information (including progress notes) directly into the HCH-MIS, producing computer-generated paper forms as needed. Each member of the pilot group had the on-line ability to generate summary or status reports about their specific caseload; the control group could only request summary reports. Supervisors could review and/or summarize any data in the HCH data base, if the information was collected by their staff or related to their caseloads.

Automated intervention features were officially ready for use on February 10, 1997, with pilot group staff trained during the following two weeks. Initial enhancements to the HCH-MIS affected automated caseload reports, progress notes, and service plan features and formats. The automation of protocols governing case reviews and access to automated client and staff-specific data mirrored the protocols governing access to paper-based information. Additional features were implemented at the request and specification of pilot staff and supervisors throughout the study period.

Four types of evaluation tools were used in the study: 1) Activity Log, 2) HCH-MIS reports, 3) Supervisor Interview, and 4) Staff Satisfaction Survey. The Activity Log recorded how control and pilot staff spent their time on their HCH project work. Information was recorded by staff for three sample weeks during the study period.

The HCH-MIS Reports were produced using current HCH data, which included all client and staff-specific information entered into the HCH-MIS since July 1996 either directly or indirectly by HCH project staff. The reports sampled the data base three times in 1997 for the study. The first 2-month sample (January and February) established baseline data; two additional 2-month samples (April-May and August-September) allowed patterns of change to be documented. Certain reports were produced using data for the entire data review period (January-September 1997) or other weekly sample periods.

The Supervisor Interview was used to guide in-person discussion with a supervisor from each program regarding their view of the impact of automation on staff activities. This structured interview, fielded in January 1998, replaced the Supervisory Case Files Record Review Form, an internal audit tool previously used by the HCH programs. A records review of a 20 percent sample of case files randomly selected from clients served by HCH staff since July 1996 was completed in February 1997; however a follow-up review of sample clients served after February 1997 has not been completed.

The Staff Satisfaction Survey measured the self-reported impact of automation on the pilot group in comparison to the control group. It also provided information about possible bias in the selection of the pilot group. The survey was distributed in August with responses received back later in August and September.

Four categories of measurements, and seventeen measures, were defined to evaluate the impact of the automated intervention on staff. The selection, summary and reporting features of Microsoft (MS) Access and Excel were the primary analysis tools used in this study.

RESULTS & DISCUSSION

The analyses done generally compared pilot and control group measures across selected total or sample time periods for each group as well as across the groups. Results were derived from HCH-MIS reports, Activity Logs, Satisfaction Surveys, or Supervisor Interviews.

The use of automated features by the pilot group had a positive impact on most of the measures reported. In terms of availability of data, the average time between the service plan date and the entry date of information for the pilot group was half (17.6 days) the average time reported for the control group (37.7 das). The control groups higher average was most likely due primarily to the time it took data entry staff to key control group service plans. This average also reflects the added time it took control group staff to completely rewrite a client service plan, once a week. The average time between the contact date and the entry date of information for the pilot group was only slightly less than the average time for the control group. Review of supporting data showed that pilot contacts were entered both by data entry staff and by pilot staff. Pilot staff probably directly entered the one contact form required to establish case management for a client so that they could begin developing service plans, and passed the other contact forms on to data entry staff.

All supervisors interviewed agreed that the quality of the service plans and progress notes entered by the pilot group was much improved. Plans and notes were clearer, more complete, more consistent and more accurate than those completed by the control group. The significant difference in the percentage of goals met by case managed clients reflects the improved quality of service plans, rather than differences in staff performance. Only 14 percent of specified goals were met by the clients case managed by the control group, while 23 percent of specified goals were met by clients case managed by the pilot group. The ready availability of prior service plans and the ease of reporting the current status of goals helped improve the documentation of client outcomes.

It was difficult to determine if the automated changes were effective in changing the pattern of work time. The overall distribution of client work time and documentation work time differed slightly, with the pilot group spending more time with clients (54.5 percent versus 44.0 percent) and less time on documentation (27.6 percent versus 34.1 percent) than the control group. Not surprisingly, there was a change in documentation work time between the first (baseline) and second sample periods, when the pilot staff switched from paper to computer usage. Unexpectedly, the work time patterns of the groups were not similar in the baseline sample and were inconsistent in the next two sample periods. Several factors, such as special project activities during the sample period, an inconsistent definition of the _other_ category, and/or inaccurate recollection of time spent might have influenced this measurement.

Another indication of the effectiveness of the automated changes was the change in importance, by rank order, of project data collection tools used by staff, as indicated in the staff satisfaction survey. While both groups ranked progress notes as the most important data tool of the five required forms, the groups ranked the importance of the other forms in reverse order. Pilot staff attached equal importance to the social work contact form and the service plan form, while control staff considered the background questionnaire (client assessment) and the service plan summary form to be more important than the contact form and the service plan form.

From both an automated perspective and a supervisory perspective, pilot and control group staff continued to be equally compliant in meeting contact standards and service plan standards. Most differences favored the pilot group, which could be attributed to ease of documentation and correction rather than better compliance. There were two areas of apparent significant difference. One measure specified that a greater percentage of pilot group discharged clients (80 percent) compared to control group discharged clients (59 percent) were discharged because project goals had been met (i.e., services were no longer needed). This difference is mostly likely due to program differences. A second measure regarding completeness of files seemed more meaningful. All supervisors reported that client paper files were much more complete for pilot group clients than for control group clients. The HCH-MIS facilitated this improvement through onrequest printing of contact forms and service plans with progress notes attached, including an indication that the information had been approved by a supervisor.

Pilot staff training and frequent communication were an important part of this study. Although pilot staff had slightly more self-reported computer knowledge and comfort, most of that knowledge was related to their use of word processors. One-on-one (2-hour long) training sessions with pilot staff and supervisors helped to ease concerns about using a computer and the HCH-MIS software. The project programmer also responded quickly when staff had computer-related problems or ideas. Monthly meetings with the pilot group provided a forum for staff to raise questions about MIS operations; to request and specify changes or enhancements to the software; and to agree on the priority level of these changes.

CONCLUSION

This study clearly demonstrated that automation can productively serve social workers and their clients. The
automation of the service plans and progress notes was the biggest time-saver for staff and supervisors; it eliminated duplicate entries and simplified corrections. In addition, the ability to review automated progress notes and weekly service plan updates without referring to paper files had an immediate positive impact on staff supervision, from the perspective of both pilot staff and their supervisors.

This study also resulted in the establishment of measurable goals and objectives that social workers and case managers could set when working with a client. The automated features in the HCH-MIS permitted staff to tailor a service plan to a particular client and to easily monitor and ocument outcomes.