Monitoring and UNIT Evaluating District Health Management 5 Information Systems Welcome to the last Unit of the Using Information for Effective Management of Health Care Services I module. Unit 5 introduces the means to monitor and evaluate, as well as plan, district health management information systems. You will be offered the opportunity to examine a framework based on public administration concepts, and see how this framework could provide the necessary holistic basis for developing sound management information systems. There is only one Study Session in this Unit: Study Session 1: Monitoring and Evaluating District Health Management Information Systems. Learning Outcomes of Unit 5 By the end of Unit 5, you should be able to: Describe the fundamental components of DHMIS. Explain the components of the DHMIS as a support- or sub-system. Explain the components of the DHMIS as a management tool. Use the sub-system framework to identify and explain common problems in DHMIS. Develop an overall monitoring and evaluation framework for a DHMIS, applying your understanding of the relationships between the components of the DHMIS. Apply the framework to various uses. When you complete this Unit, you should be able to tackle and complete your assignments. Before you go through the Unit, take a look at the final Assignment and note what you will be required to produce. SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 187 SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 188 Unit 5 – Session 1 Monitoring and Evaluating District Health Management Information Systems Introduction Much has been written on the development and evaluation of District Health Management Information Systems (DHMIS) in developing countries that. Even so, we are faced with several shortcomings in these descriptions. These descriptions and evaluations are usually based on a particular conceptual framework. However, there is no adequate, widely accepted conceptual framework that guides such descriptions and/or evaluations. The literature commonly refers to specific aspects that influence the functionality of DHMIS, but little success has been achieved in describing a comprehensive framework for the holistic evaluation of these systems. Functions within the data handling process or Information Cycle, e.g. the development and use of data collection tools, indicators, reports, etc, are described and evaluated individually. There is no overall guiding framework and no mention of the minimum infrastructural requirements necessary to accomplish the smooth operation of the data handling process, and consequently enable the performance of the above activities. Moreover, the social nature of information systems and organisational interplay and tensions, while investigated and described in certain contexts, there is no indication of the basic infrastructural requirements needed to have a functional DHMIS in which such social phenomena can arise and be managed. Given this context, in this session we shall propose as a framework for planning and evaluating the DHMIS a minimum infrastructural package required to operate a DHMIS successfully. Session Contents 1 2 3 4 5 6 7 8 Learning outcomes of this session Readings The fundamental components of district health management information systems DHMIS as a support- or sub-system DHMIS as a management tool Using the framework to identify and explain common problems of DHMIS Integrating the components into a monitoring and evaluation framework Potential uses of the framework SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 189 9 Session summary Timing of the session This session could take you up to two hours to complete. 1 LEARNING OUTCOMES OF THIS SESSION By the end of this session, you should be able to: Describe the fundamental components of DHMIS. Explain the components of the DHMIS as a support- or sub-system. Explain the components of the DHMIS as a management tool. Use the sub-system framework to identify and explain common problems in DHMIS. Develop an overall monitoring and evaluation framework for a DHMIS, applying your understanding of the relationships between the components of the DHMIS. Apply the framework to various uses. 2 READINGS The readings for this session are listed below. You are expected to read all of the readings provided. Reading Publication details Heywood, A. & Rohde, J. (2002). Using Information for Action. A Manual for Health Workers at Facility Level. Pretoria: Equity Project: 92 - 96. Lippeveld, T, Sauerborn, R. & Bodart, C. (2000). Design and Implementation of Health Information Systems. Geneva: WHO: 15 - 32 & 243 - 252. SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 190 3 FUNDAMENTAL COMPONENTS OF DISTRICT HEALTH MANAGEMENT INFORMATION SYSTEMS In its simplest form, an information system is sustained or maintained by two internal forces. The diagram below describes these: DHMIS as a support- or sub-system Pull Effect DHMIS as a management tool Push Effect DHMIS as s Management Tool The information needs of managers in the pursuit of sound management in a rational management context create a pull effect on the DHMIS to supply information as required. We have seen how the quality and relevance of the information that managers base their decisions on informs good practice in the management of health services. Thus, managers may exert a demand on the DHMIS for the satisfaction of their information needs. For managers to exert this pull on the information system, two requirements must be fulfilled: An understanding of, and familiarity with, the role and utility of information in health care management, and The existence of an information system that can satisfy the arising and changing needs of the managers. If managers are not empowered to use information in managing the health services, they are not in a position to realise and fulfil their information needs. To use a driving analogy that illustrates the point: A person reared in an environment where cars do not exist would not necessarily realise the utility of vehicles. Similarly, if managers were trained and obtained their experience in an environment void of an information culture, they would be hard-pressed to realise the utility of information to achieve their desired ends. However, sufficient skills transfer and exposure may expedite the creation of the pull effect under discussion. This possibly argues for the inclusion of health information elements in the curriculum of health professionals and management training programmes. DHMIS as a Sub- or Support System of the Public Health Care System The second requirement noted above relates to the existence of an information support system (or sub-system of the public health care system) that would supply what is required to satisfy the pull effects arising from users. The DHMIS should be managed well enough to ensure that it is able to satisfy the tension placed on it as a sub-system. In order to manage this sub-system, it needs to consist of the same elements that any other system or sub-system in the public health care context consists of. The discipline of public administration suggests what those key elements of a DHMIS support system might be. According to Cloete (a public administration specialist), the six generic functions of public administration are as follows: SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 191 Policy and policy-making Organisation Staffing Work Procedures Financing Controlling If the DHMIS were conceived as a sub-system in the health services system, we would expect these components to apply to the DHMIS, as it is a component of public administration. If these components are sound and in place in the DHMIS sub-system, then the sub-system should be strong enough to support the tension of the pulling effect placed on it. 4 DHMIS AS A SUPPORT- OR SUB-SYSTEM Regarding the six generic functions of public administration as core elements of the DHMIS support / sub-system, makes it easier to identify and explain some of the breakdowns that we experience in the functionality of health management information systems. Without engaging in a long explanation, the following brief descriptions and examples of these elements are provided: Policy and Policy-Making Policy is the legal framework in which public services are provided. Also, and maybe more importantly, it illustrates the political commitment shown by a government. If clear and specific policies relating to the DHMIS are developed and endorsed, they provide a legal framework in which the DHMIS will operate. Some examples include: good faith on the part of information officers would not be the only standard for determining that reporting units submit data on time and in the correct fashion, uncooperative reporting units could be dealt with legally and officially, all the ensuing generic functions of public administration as it relates to DHMIS would be governed, and so on. Organisation This relates to the placement of information producers and users within the organisation structure of the organisation. This ensures unity in command and creates a feeling of belonging and of existing in an official and sanctioned capacity. This helps clarify the roles of individuals in the operation of the DHMIS. Regardless of the background of the information officers, they are at times expected to analyse information from disciplinary specialities, provide sensible and descriptive reports, and even to produce indicators for specific PHC sub-systems. In addition, all managers go straight to the information officers with ad hoc information requests from time to time, which lead to the overloading of these officers. Usually each these managers also see their requests as bearing the highest priority. Rational organisation would counter many of these problems. Organisation also relates to rational data- and information flows. SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 192 Staffing No sub-system can operate effectively without competent people. These people have to be formally appointed, have the correct qualifications and/or skills, have a manageable workload, receive sufficient training and support, etc. For instance, would the development of the DHMIS in South Africa have been more uniform if all information officers had a health background? Is it fair to see that certain areas have information officers responsible for 13 to 20 facilities each, whereas in other areas information officers are responsible for 90 to 105 facilities without assistance? Work Procedures If staff employed to manage the DHMIS do not know what their responsibilities are, they would not be able to perform optimally, and therefore the DHMIS would not be able to function adequately. Responsibilities related to the data handling process must be assigned to the correct staff levels and categories. For instance, should the use of information and reporting not be spelled out in the job descriptions of all health workers? If work procedures relating to the DHMIS were better communicated and documented, situations would not arise where managers expect information officers (without adequate knowledge and skills) to fully analyse and interpret information. In addition, gaps between development of the DHMIS and use of information for management between different geographic and administrative areas would probably reduce, as more guidance would be available. Finances Financial resources and procedures are required for the operation of any sub-system. The operation of the DHMIS is highly dependent on material- and skill-resources. Without the necessary financial means to accomplish objectives, the sub-system would surely be ineffective. For instance, if information officers do not have access to a budget to maintain computerised systems, purchase or print data collection forms, provide training and reference materials, fund quarterly information review meetings, etc, the DHMIS will sooner or later run into problems. In South Africa, information officers generally do not have access to an allocated budget for the DHMIS. This leads to many problems in maintaining the computers used for the software, which has knock-on effects on availability of information for use to better manager the service. Controlling Controls have to be built into any sub-system in the public health care context; this helps ensure accountability, a necessary component of public service. Information plays a large role in ensuring accountability in public officials (especially managers controlling funds); the DHMIS sub-system must also possess some controls. The TALI-tool has been implemented in South Africa to serve as a guide and, to some extent, a control mechanism. This tool makes sure that the activities relating to the data handling process are fully functional and thus, the information / management tool is accounted for by all involved in the DHMIS sub-system. The question also arises, who watches the watchers? Why not indicators for the DHMIS or some other continuous monitoring system? SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 193 This discussion has hopefully strengthened the applicability of the framework in monitoring the functionality of the DHMIS as a sub-system. It also bears mention that all the generic functions affect one another. For instance, policy should be formulated on staffing levels and qualifications, budgeting procedures and content, etc. Similarly, work procedures should be specified for appointing staff, budgeting, controlling, etc. 5 DHMIS AS A MANAGEMENT TOOL The DHMIS provides an important tool for management in the form of accurate and relevant information. To enable the generation of this tool, the functions relating to the data handling process or Information Cycle - data collection, data quality, data analysis, information reporting, and information use - must be carefully considered and monitored. Some pointers to guide this are briefly discussed below. Data Collection The first question of the Information Cycle asks: “What do we collect?” The simple answer is essential, accurate and timely data required for the management of the health system. A process of analysis and their potential use for action must form the main basis for the inclusion of the data elements we collect in the Essential Dataset (EDS). The indicators that determine these data elements should be selected on the basis of objectively determined and confirmed priorities. There are many ways to develop such an EDS – we discussed this briefly in Unit 1. Once these data elements to be included in the EDS have been agreed upon, data collection tools must be developed and always be available at the appropriate points of collection. These tools must have certain characteristics such as being simple, exclude overlapping, be cost effective, integrated, relevance in terms of its type, take little time to complete, and be clear. As little time as possible should be needed to complete a data collection tool – this is a question of careful and thoughtful design. They should be easily aggregated and promote the collection of accurate data. In addition, collection points must remain individualised during the aggregation procedure so that accuracy of raw data from facility level can be checked. Data Quality The most important aspect of data quality is accuracy. Mechanisms and tools that promote data accuracy are crucial. Appropriate manual and computerised data accuracy checking procedures are part of these mechanisms. Work procedures, design of all tools, and training can contribute towards ensuring data quality, but in addition, tools that enhance data accuracy can be developed, for example minimum and maximum range values for each data element for each facility, outlier analysis tools, internal consistency checks, monthly reporting logs for the reporting unit, etc. Computerised accuracy checks and manual checks must be performed on a frequent and continuous basis. Thus, the quality, existence and use of tools to check accuracy, correct errors and prevent errors from reoccurring must receive attention. Ease of data transmission from point of collection facilitates data quality. Additionally, mechanisms that ensure that this takes place on time and continuously, help. SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 194 Data Analysis It is crucial that accurate data are analysed to produce information in the form of indicators. These indicators must conform to certain characteristics such as being useful, relevant, appropriate, valid, easily calculated, clearly defined, sensitive and specific. It must also be ensured that the analysis takes place at the point of collection and at all higher levels receiving the information. Frequency of analysis as well as work procedures and training must also receive consideration. Information Reporting Reports must be clear and fulfil a need for knowledge as it arises from time to time. Adequate reports of the correct sort must reach all officials who need information. These reports must be provided on time and cover needs throughout the administrative hierarchy by integrating all relevant pieces of information irrespective of its source. Moreover, the correct officers must produce the reports to ensure sound interpretation with the correct amount of detail. Information Use Information use must be defined and included in the design of any DHMIS. The agreed upon definition will determine the products of proof, for enabling continuous monitoring, that must be built into the system. Such products of proof need to be unbiased and verifiable. 6 USING THE FRAMEWORK TO IDENTIFY AND EXPLAIN COMMON PROBLEMS OF DHMIS In the following example, the framework helps to explain some of the fundamental problems identified in DHMIS and illustrates how the framework can help prevent these problems. Policy DHMIS as Support- or Sub-System Reporting units are not regulated by policy to supply routine data on time and therefore cannot be sufficiently provoked to comply to data collection and reporting procedures. No policy guides the amount of facilities that each information officer is responsible for, therefore a skewed workload distribution results between varying geographical areas. Policy on targets/objectives do not exist, therefore no national reference point against which to judge performance of specific areas and sub-systems exists. Organisation Data flow is not regulated and planned to channel through a central point in the district, therefore district-level managers do not have access to all information. Integration of information systems does not occur, and this lack of integration results in the situation where managers are not able to access information relevant to their own SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 195 Staffing Work Procedures Finances Controls needs from a different sub-system or discipline, e.g. TB has no access to nutrition data. Unity in command does not exist resulting in the information unit being inundated with requests for information from managers that all view their requests as the top priority. This situation results because all managers are viewed as the superior to the information officer. The information officer has trouble getting priority for use of official transport to engage in support and training of facility staff due to the fact that the support services available to the information office are not specified and prioritised. Certain districts perform much better since they made the decision to employ information officers with a health background that can easily attach value to the numbers as opposed to other districts that opted for employing administrative staff. Certain districts employ fewer staff leaving them with a higher workload than neighbouring districts. Some information officers take a long time to produce good results since they do not have adequate education /training, because this was not a prerequisite for employment to the position. Districts may have different levels of data quality, reporting and report compilation frequencies since the work procedures of information officers have not been specified and standardised. Information officers are abused by management and tasked with unrelated duties such as preparing slideshow presentations for managers since the information officers have no endorsed scope of responsibilities. Health workers and managers do not collect or use information since their roles in the DHMIS have not been specified in their job description. The information officer cannot capture data since his/her computer broke down and no money has been budgeted by, and for, the information department for equipment maintenance. No money exists for the information office to conduct a workshop for the revision of the EDS. Facilities run out of data collection tools (e.g. registers) since no money have been allocated for the purpose. The performance of information officers is variable since there is no performance appraisal system specified for the position. Development of the DHMIS is delayed since information officers are not required to prepare strategic and operational plans for the DHMIS. The sustained improvement of the DHMIS is not ensured since no mechanism for continuous monitoring of the DHMIS system exists. SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 196 Data Collection Data Quality Data Analysis Information Reporting Information Use DHMIS as a Management Tool Managers do not use information since the data elements collected do not reflect their priorities. Data quality suffers since the dataset is too inflated and troublesome for facility level staff to afford the necessary time to capture data, resorting to fabricating the data instead. No information on finances is collected due to poor EDS development. Facility level staff report poor quality information since no accuracy checks are performed on the data and no feedback is provided to the facilities. Data quality is not addressed because accuracy checks are not applied. Monthly returns from data collection points are received late since the information officer has no mechanism for tracking the submission of data within reporting timeframes. No analysis is performed since the data elements identified for collection did not consider information needs and therefore had no indicator definitions defined. Analysis is limited in value since inappropriate indicators were defined. Analysis is pointless since no benchmarks/targets exist. Reporting is limited since managers have not specified information needs, as they are unfamiliar with the indicators available. Reports are not used for management purposes because they are not clear and purposively created. Reports are limited in value since managers task information officers without sufficient skills to produce and interpret the information. Managers are not required to account for the performance of the indicators relating to their areas of responsibility. Strategic- and operational plans are not linked to indicators. Thus, the indicators are not reported to superiors. Health care staff and managers have not been trained on the utility and use of information. Therefore, they do not possess the skills to employ health information to their advantage in improving the health services. SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 197 7 INTEGRATING THE COMPONENTS INTO A MONITORING AND EVALUATION FRAMEWORK The following diagram illustrates the conceptual framework and mentions a further component: Pull Effect Push Effect DHMIS as a support- or subsystem DHMIS as a management tool The social nature of DHMIS Policy Organisation Staffing Work Procedures Finances Controls Data Collection Data Accuracy Data Analysis Information Reporting Information Use The components of DHMIS explained in this session all take place within a social context. Hence, human behaviour, organisational culture and external forces all influence the development of DHMIS. Although this unit is not intended to elaborate on the social nature of DHMIS and external forces influencing its design and operation, it is important to acknowledge its influence. 8 POTENTIAL USES OF THE FRAMEWORK As stated previously, the purpose of developing the model is to provide structure to fundamental requirements of DHMIS, particularly in developing country contexts, and to ensure its sustainability. Therefore, the following proposed uses, in their capacity to enhance the sustainability and functionality of DHMIS: Policy development for DHMIS operation and management Institutionalising the DHMIS effort DHMIS development planning DHMIS routine management Structuring interventions for DHMIS strengthening Assessing DHMIS Performing comparative studies on DHMIS Structuring DHMIS personnel performance appraisal systems Monitoring the performance of DHMIS What difficulties can you think of in implementing and using this framework? SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 198 9 SESSION SUMMARY You have reached the final session of the module. As a conclusion, we provided you with concepts and ideas that you can use to plan, monitor and evaluate your district health management information system, in order to enhance its efficiency. We showed you the dual nature of DHMIS – as a sub-system for the support of health care services in general, and as a management tool. As a sub-system it can be viewed and evaluated through the same lens as any other sub-system, with particular attention on the core components that it shares with any other sub-system, such as transport, finance, health promotion, human resources, etc. These components are policy, organisation, staffing, finance, work procedures and control. If these components are not clearly defined, it is hard to produce high quality information that can be used as a management tool. As a management tool, an information system must undergo and consider numerous processed that relate to the Information Cycle. These are data collection, collation, accuracy checks, analysis, reporting and use. All of these processes must function effectively at all levels of the administrative hierarchy. Being aware of all these fundamental components of district health information systems can assist one greatly in strengthening existing systems, evaluating them and designing new DHMIS. SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 199 SOPH, UWC, Master of Public Health: Using Information for Effective Management of Health Care Services – Unit 5 200 USING INFORMATION FOR EFFECTIVE MANAGEMENT OF HEALTH CARE SERVICES I EVALUATION FORM 2006 - SCHOOL OF PUBLIC HEALTH, UWC Please would you give us some feedback of your experience of this module. This will help us to improve the learning materials for the next cohort of students. Thank you. 1. How helpful was this module in guiding you through the topic of using information for managing health care services? 2. How did you find the level of the readings? Too difficult Appropriately challenging Too simple Please explain your answer. 3. Did the readings add to your knowledge and understanding of the topic? Can you provide specific examples. 4. Was the content of these units useful to you in your work situation? Please expand on your response. 5. Can you suggest any improvements to the way the sessions were written or presented? 6. Was the timing guideline given at the start of the session accurate or helpful? Please indicate if you took longer or less time to complete the sessions. 7. Did the module equip you to do the assignments? Please explain any problems you experienced. 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