This article has Open Peer Review reports available.
Provider performance in treating poor patients - factors influencing prescribing practices in lao PDR: a cross-sectional study
- Lamphone Syhakhang†1,
- Douangdao Soukaloun†2,
- Göran Tomson†3, 4,
- Max Petzold†5Email author,
- Clas Rehnberg†4 and
- Rolf Wahlström†3, 6
© Syhakhang et al; licensee BioMed Central Ltd. 2011
Received: 6 July 2010
Accepted: 6 January 2011
Published: 6 January 2011
Out-of-pocket payments make up about 80% of medical care spending at hospitals in Laos, thereby putting poor households at risk of catastrophic health expenditure. Social security schemes in the form of community-based health insurance and health equity funds have been introduced in some parts of the country. Drug and Therapeutics Committees (DTCs) have been established to ensure rational use of drugs and improve quality of care. The objective was to assess the appropriateness and expenditure for treatment for poor patients by health care providers at hospitals in three selected provinces of Laos and to explore associated factors.
Cross-sectional study using four tracer conditions. Structured interviews with 828 in-patients at twelve provincial and district hospitals on the subject of insurance protection, income and expenditures for treatment, including informal payment. Evaluation of each patient's medical record for appropriateness of drug use using a checklist of treatment guidelines (maximum score = 10).
No significant difference in appropriateness of care for patients at different income levels, but higher expenditures for patients with the highest income level. The score for appropriate drug use in insured patients was significantly higher than uninsured patients (5.9 vs. 4.9), and the length of stay in days significantly shorter (2.7 vs. 3.7). Insured patients paid significantly less than uninsured patients, both for medicines (USD 14.8 vs. 43.9) and diagnostic tests (USD 5.9 vs. 9.2). On the contrary the score for appropriateness of drug use in patients making informal payments was significantly lower than patients not making informal payments (3.5 vs. 5.1), and the length of stay significantly longer (6.8 vs. 3.2), while expenditures were significantly higher both for medicines (USD 124.5 vs. 28.8) and diagnostic tests (USD 14.1 vs. 7.7).
The lower expenditure for insured patients can help reduce the number of households experiencing catastrophic health expenditure. The positive effects of insurance schemes on expenditure and appropriate use of medicines may be associated with the long-term effects of promoting rational use of drugs, including support to active DTC work.
Doctors' prescribing practices have considerable bearing on the effectiveness of health care treatments. There are many factors influencing prescribing, e.g., existing laws and regulations, types of patients, different insurance schemes, informal payment, drug promotion, medical product representatives and other incentives [1–5]. Therefore, questions concerning appropriateness of treatment are of interest among health care professionals, policy-makers, administrators and researchers. Informal payment, i.e. patients' decision to pay extra to the health care provider, in money or in kind, has been listed as one problem in many health systems [6, 7].
In Lao People's Democratic Republic (Laos) the functioning of health services in hospitals at different levels has improved gradually over the last ten years, especially regarding rational use of medicines [8, 9]. Drug and Therapeutic Committees (DTC), and standard treatment guidelines (STGs) to develop quality of care have been established at all provincial and district hospitals, including remote and rural areas .
Four main types of insurance schemes are currently being piloted in selected provinces in Laos: (1) the social security system covering civil servants (CSS), (2) health insurance schemes for the private sector (SSO), (3) community-based health insurance schemes (CBHI), and (4) health equity funds (HEF) for the poor. The payment under CSS is the responsibility of the government, whereas the SSO is paid by the private companies, and CBHI gets contributions directly from the households. The Swiss Red Cross has supported HEF in Vientiane province and Namebak district in Luangprabang province. For all schemes, payments to contracted hospitals are on a capitation basis and limited to a defined set of services, with the exception of HEF.
An exemption policy for poor people was launched in Laos in 1995, but has not been effective due to a limited government budget and an unclear definition of the term "poor people". About 60% of health care expenditures come from individuals' own pockets . Increasing out-of-pocket expenditures in public and private health care services are driving many families into poverty, and are further burdening those who are already poor . In addition, in order to gain access to public hospitals and to receive a higher quality of services, in some countries, informal payments are widespread and a major source of inequity and inefficiency in health care systems [6, 7].
Poverty and illness constitute a vicious circle, especially in low- and middle-income countries , including Laos. Low quality of services and inappropriate practices of health providers, especially in contact with poor patients, may result in ineffective health care, unnecessary expenditure and a negative impact on patients' health and finances. Many studies on public health facility services have been carried out in Laos, however no study has been performed on provider behaviour in relation to poverty and illness.
The main objectives of this study were: 1) to assess the appropriateness of treatment by health care providers in the encounter (a) with poor patients, (b) patients with and without insurance; 2) to determine the expenditure for treatment of different types of patients; and 3) to assess factors associated with provider performance.
This cross-sectional study was conducted in hospitals in three provinces in the north, middle and south of Laos, Luangprabang, Vientiane and Savannakhet, where different insurance schemes have recently been piloted. Three districts in each province were purposively selected to include districts where one or two of the available security systems, CBHI and HEF, had been introduced: Namebak, Ngoy and Xiengngeuane districts in the Lauangprabang province; Vangvieng, Phone Hong and Xanakham in the Vientiane province; and Champhone, Outhoumphone and Sepone in the Savannakhet province.
Sample size and sampling procedures
The provincial hospital and the three district hospitals in each province were included - a total of 12 public health facilities. One of the district hospitals in each province was involved in the insurance scheme pilot, while the other two operated without any insurance scheme. Four tracer conditions were used for data collection: a) major injury (including bone fracture), b) hypertension, c) post-delivery haemorrhage or Caesarean section, and d) pneumonia in children under five. Patients were selected consecutively according to the time of their admission to the hospital. The aim was to recruit 20 patients per disease and per health facility, but in spite of a period of five months for data collection we could only include a total of 828 patients.
Data collection methods
Data were collected through structured interviews with in-patients on the surgical, medicine, obstetric and paediatric wards. Data from the same patients' medical records were also collected. For patients with hypertension, data were mostly collected in out-patient wards.
The interviews with patients used a structured questionnaire specifically developed for the purpose of this study. The questionnaire was pretested and modified before use. The questions covered reasons for choosing the facility, opinion about the service received and the quality of care, information about service fees, including informal payment, general satisfaction and expectations, and recommendations for better health services. The questionnaire was not finalised until the day of discharge to ensure that all expenditure were recorded. Demographic data and information about household income were also collected via the questionnaire.
Information about the use of medicines and diagnostic tests was retrieved from the patient records, including the expenditure for medicines and diagnostic tests, fees and other expenditure. The expenditure for prescribed medicines and diagnostic tests were based on the price lists compiled by the pharmacy unit at each hospital. Fees were usually quite small and relate to charges for consultation and documents. Other expenditure refer to all other expenditure for the treatment episode, including cost for equipment, transportation, accommodation and food for patients themselves and their relatives. The questions on informal payment addressed whether the patients had contributed any additional payment or donated food or gifts of any kind to any of the health care providers.
The appropriateness of use of medicines was assessed by using a checklist and a scoring system, which was based on treatment guidelines used in the hospitals for the four tracers. Correct use of medicines according to the guidelines, including intravenous fluids and blood transfusions, received a positive score, while inappropriate medications received negative scores. The maximum score was 10 for all tracers.
Household income was classified into three levels related to the specific poverty line measurement of 100 000 LAK (11 USD) per individual per month, as indicated in the Lao Expenditure and Consumption Survey (LECS II). This amount corresponds to the money required to purchase 2 100 calories of food per person per day, plus a non-food allowance [13, 14].
Data were collected from October 2007 to March 2008 by trained data collectors with the supervision of the principal investigator (LS) and the research team, which visited all hospitals.
The standard for each tracer condition and the corresponding checklists were developed by specialists from the main central hospital, and used for evaluation of the appropriateness of treatment and use of medicines.
Epi info version 6.4 and Stata 10 were used for data input and analysis. Frequencies, cross-tabulations, means and standard deviation have been performed. P-value was used to compare the prescribers' performance between different types of patients. Multiple linear regression analysis was performed to identify factors influencing higher expenditure for treatment.
Ethical clearance was obtained from the National Ethical Committee for Health Research, Ministry of Health, Laos. All participants were informed about the study purpose and gave verbal consent after explanation that all collected information would be handled anonymously.
Patients background and characteristics
N = 828
1. Major injury or bone fracture
3. Post-delivery haemorrhage or Caesarean section
4. Pneumonia in children under five
2. Civil servant
3. Private sector employee
1. Primary school
2. Lower-secondary school
3. Upper-secondary school
150 000 (4 000-4 000 000)
Income level 1: ≤100 000 LAK
Income level 2:101 000-200 000 LAK
Income level 3: ≥201 000 LAK
Use of medicines, diagnostic tests and costs in LAK* for uninsured and insured patients
N = 712
Appropriate drug use score
Total number of medicines during hospital stay
- Number of antibiotic injections
- Number of oral antibiotics
- Number of essential medicines
- Number of brand drugs
Average duration of stay (days)
Cost of medicines (in LAK)
373 060 (772 660)
126 063 (267 340)
Cost of diagnostic tests (in LAK)
77 826 (123 104)
Other costs (in LAK)
360 608 (563 086)
240 745 (394 973)
Fee charge (in LAK)
53 308 (105 995)
There were no differences regarding quality of treatment for patients at different income levels as measured through the scores for appropriate drug use (5.0, 4.8 and 4.8, for low-, medium- and high-level income respectively, p = 0.71). Furthermore, there were no significant differences in how patients with different levels of income were treated regarding use of medicines, for example, average number of antibiotic injections (0.87, 0.93 and 0.94 for low-, medium- and high-level income respectively, p = 0.63), and total cost of medicines (LAK 319 645, 324 685, and 370 855 respectively, p = 0.85). However, there was a significant difference regarding fees, where patients in the high-level income group paid about three times more than the two other income groups (p < 0.0001).
The total level of the score for appropriate use of medicines was significantly lower for patients with major injury and post-delivery haemorrhage or a Caesarean section (3.7 and 3.8, respectively), than for patients with hypertension (5.8) and for children with pneumonia (7.1) (p < 0.0001). The low score for patients with major injury and post-partum treatment were mainly due to incorrect choice of intravenous fluids and inappropriate use of oral antibiotics. The average use of antibiotic injection was 1.0 in patients with major injury, 1.5 in patients with post-delivery haemorrhage or a Caesarean section, 0.04 in hypertensive patients, and 1.1 in children under five with pneumonia, which for all tracers mostly corresponded with recommendations in the guidelines. The cost for patients with major injury and post-delivery haemorrhage or Caesarean section was significantly higher than for the other two conditions (p < 0.0001).
Use of medicines, diagnostic test and cost for patients who made and did not make informal payment respectively
No informal payment
N = 674
N = 110
Appropriate drug use score
Total number of medicines prescribed
- Number of antibiotic injections
- Number of oral antibiotics
- Number of essential medicines
- Number of brand drugs
Average duration of stay (days)
Total diagnostic test
Cost of medicines
1 058 000 (1 236 000)
Cost of diagnostic test
119 906 (162 750)
688 615 (678 346)
69 731 (130 124)
The score for appropriate use of medicines was significantly higher at district hospitals than at provincial hospitals (5.3 vs. 4.8, p = 0.01). The use of medicines for patients at provincial level was also significantly higher than for patients at district level in terms of average number of medicines prescribed (6.8 vs. 4.5, p < 0.0001), number of antibiotics injections (1.3 vs. 0.7, p < 0.0001) and number of essential medicines (5.7 vs.3.9, p < 0.0001), as well as number of days in hospital (6.6 vs.1.7, p < 0.0001). Furthermore, the patients' expenditure for medicines (LAK 740 350 vs. 113 100, p < 0.0001) and diagnostic tests (LAK 95 478 vs. 47 023, p < 0.0001) was significantly higher at provincial level although the same tracer conditions were used at both levels.
There were also some differences between the provinces. Patients in Vientiane province received significantly fewer medicines (4.2 vs. 5.7 and 5.8, p < 0.0001) and antibiotics injections (0.5 vs. 1.1 and 1.3, p < 0.0001), and fewer diagnostic tests (0.4 vs. 1.3 and 1.9, p < 0.0001) than patients in the two other provinces. Patients in Savannakhet province stayed longer in hospital (8.9 vs. 3.8 and 0.8, p < 0.0001) than in the two other provinces and they also spent more on medicines (LAK 1 218 000 vs. 316 322 and 109 800, p < 0.0001), diagnostic tests (LAK 120 782 vs. 57 838 and 77 071, p = 0.009) and non-medical expenditures (LAK 730 471 vs. 131 540 and 110 129, p < 0.0001).
Suggested factors influencing provider performance in terms of total cost for medicines and diagnostic tests in LAK*, multiple linear regression analysis (R-squared = 0.29).
95% confidence limits
0 = female, 1 = male
(-157 625; 40 482)
0 = low, 1 = high
(568; 233 715)
0 = low, 1 = high
(-243 366; -36 632)
0 = provincial, 1 = district
(-682 344; -474 717)
0 = no insurance,
1 = insurance
(-318 943; -38 763)
0 = no informal payment
1 = with informal payment
(536 236; - 827 344)
Prescribing practices were significantly more appropriate for insured patients, and for patients not making informal payments. In addition, the total cost of medicines and diagnostic tests was as well significantly lower for insured patients and for patients not making informal payments. However, there was no difference between poor and better-off patients. Factors associated with the cost of medicines and diagnostic tests, which may have influenced prescribing and treatment practices, were insurance schemes, education, low-income level patients, level of health facility, and informal payment.
Insured patients received significantly more appropriate medicines and diagnostic tests than those without insurance. The different insurance schemes in Laos apply their own lists of medicines, but mostly follow the National Essential Medicine List with generic names. Providers were encouraged to treat insured patients according to the list and the insured patients also received fewer drugs, fewer antibiotics, fewer injections in total and the expenditure were lower. Uninsured patients, on the other hand, could receive medicines at the prescriber's discretion and according to the patient's own demands. These different preconditions seem to have had an impact on the doctors' prescribing habits. A study in China showed that insured patients instead received more antibiotics and injections than needed possibly because prescribers received a bonus from pharmacies from over-prescribing, and because the income of health workers was directly related to the drugs they sold [3, 15], which is not the case for insured patients in Laos. Studies in other countries have also addressed the issues of unethical practices at the cost of consumers [2, 4, 5].
Although the use of antibiotics was less for insured patients and patients not making informal payments, than for uninsured patients and those making informal payments, on average, each patient still received at least one antibiotic, except for patients with hypertension. This was regarded as appropriate in many cases as children with pneumonia and patients with wound injuries should be treated with antibiotics. Appropriate use of antibiotics is important to avoid antibiotic resistance, as bacteria resistance is currently on the increase world-wide, while the development of new antibiotic development is in decline [16, 17]. In a three-country comparison, the level of microbial resistance was highest in China, followed by Kuwait and the United States . Other studies in China have shown that antibiotic prescribing and use was connected with the interaction between physicians and patients [15, 19]. A study in Pakistan and other studies have also demonstrated irrational prescribing of injections and antibiotics [3, 20, 21].
Patients with major injury or bone fracture and post-delivery haemorrhage or a Caesarean section received less appropriate overall treatment than patients with hypertension or pneumonia. We cannot fully explain the reasons for this discrepancy, but it may partly be related to the diversity of conditions covered by the guidelines for non-infectious emergency cases.
We found that patients with a lower income level received similar treatment as the middle- and higher-level income groups, although patients in the highest income-level group had higher total expenditure. In each hospital, an exemption policy was principally implemented: if patients could not pay, they were first allowed credit, and then their debts were cancelled if it turned out that they really were unable to pay. In Laos, rational use of medicines has been promoted for over fifteen years and Drug and Therapeutic Committees have been established and function at all provincial and several district hospitals [9, 10]. Therefore, patients should get the same treatment regardless of level of income, which is consistent with our findings and similar to other studies, where it has been shown that providers generally have a positive attitude towards deprived patients .
Patients making informal payments, who were also mostly non-insured, received inappropriate treatment, to a higher extent than patients not making informal payments. One possible reason could be that prescribers tried to satisfy explicit or assumed demands from non-insured patients by over-prescribing or choosing famous brand name drugs at a substantially higher cost to the patient. A study in Russia showed that in total around 15% of respondents had made informal payments in the past three years, although it was even more common in poorer regions. The reason for payment was said to be to ensure access to high quality, publicly funded health care services . In a study in Greece, 36% of the total number of those reporting treatment at public hospitals reported at least one informal payment to a doctor. The reasons for payment included a fear of receiving substandard care, an attempt to shorten waiting time and in some cases because the doctor had demanded such a payment .
Patients at district hospitals spent less money on treatment than those at provincial hospitals for the same tracer conditions. The explanation could be that health staff at district level provided less advanced care, although the appropriateness of the care was significantly higher. However, even if the condition is classified within the same tracer, the cases at the provincial hospitals may have been more severe.
Study limitations included the much lower number of insured than uninsured patients due to the recent, incomplete introduction of insurance schemes. For the sake of comparison, it would have been an advantage to have more equal groups. The income level reported by the patients may not be appropriate, which may affect the comparisons between groups of patients with different income levels.
Use of medicines and cost of care at hospitals in Laos were more appropriate for insured patients regardless of level of income. The lower cost for insured patients can help reduce the number of households experiencing catastrophic health expenditure. The positive effects of insurance schemes on expenditure and appropriate use of medicines may be associated with long-term effects of promoting rational use of drugs, including support to active DTC work. The Government should continue to support the scaling-up and strengthening of social security schemes and to implement a policy to prohibit informal payment. Factors related to higher cost and lower quality of care for patients who make informal payments should be further explored.
Thanks to all patients and health providers, who participated in the study.
This publication is an output of the POVILL Consortium of ten research institutions in Asia and Europe (http://www.povill.com/en_index.aspx), supported by the Sixth Framework Programme of the European Commission.
- Paredes P, de la Pena M, Flores-Guerra E, Diaz J, Trostle J: Factors influencing physicians' prescribing behaviour in the treatment of childhood diarrhoea: knowledge may not be the clue. Soc Sci Med. 1996, 42 (8): 1141-1153. 10.1016/0277-9536(95)00387-8.View ArticlePubMedGoogle Scholar
- Pearson SA, Rolfe I, Smith T: Factors influencing prescribing: an intern's perspective. Med Educ. 2002, 36 (8): 781-787. 10.1046/j.1365-2923.2002.01267.x.View ArticlePubMedGoogle Scholar
- Zhan SK, Tang SL, Guo YD, Bloom G: Drug prescribing in rural health facilities in China: implications for service quality and cost. Trop Doct. 1998, 28 (1): 42-48.PubMedGoogle Scholar
- Roy N, Madhiwala N, Pai S: Drug promotional practices in Mumbai: a qualitative study. Indian Journal of Medical Ethics. 2007, iv (2): 57-61.Google Scholar
- Watkins C, Harvey I, Carthy P, Moore L, Robinson E, brawn R: Attitudes and behaviour of general practitioners and their prescribing costs: a national cross sectional survey. Qual Saf Health Care. 2003, 12 (1): 29-34. 10.1136/qhc.12.1.29.View ArticlePubMedPubMed CentralGoogle Scholar
- Aarva P, Ilchenko I, Gorobets P, Rogacheva A: Formal and informal payments in health care facilities in two Russian cities, Tyumen and Lipetsk. Health Policy and Planning. 2009, 24: 395-405. 10.1093/heapol/czp029.View ArticlePubMedGoogle Scholar
- Liaropoulos L, Siskou O, Kaitelidou D, Theodorou M, Katostaras T: Informal payments in public hospitals in Greece. Health Policy. 2008, 87: 72-81. 10.1016/j.healthpol.2007.12.005.View ArticlePubMedGoogle Scholar
- Paphassarang C, Tomson G, Choprapawon C, Weerasuriya K: The Lao National Drug Policy: lessons along the journey. The Lancet. 1995, 345: 433-435. 10.1016/S0140-6736(95)90408-5.View ArticleGoogle Scholar
- Wahlström R, Kounnavong S, Sisounthone B, Panyanouvong A, Southammavong T, Eriksson B, Tomson G: Effectiveness of feedback for improving case management of malaria, diarrhoea and pneumonia- a randomised controlled trial at provincial hospitals in Lao PDR. Tropical Medicine and International Health. 2003, 8: 901-909.View ArticlePubMedGoogle Scholar
- Vang C, Tomson G, Kounnavong S, Southammavong T, Panyanouvong A, Johansson R, Eriksson B, Wahlstrom R: Improving the performance of Drug and Therapeutics Committees in hospitals - a quasi-experimental study in Laos. Eur J Clin Pharmacol. 2006, 62: 57-63. 10.1007/s00228-005-0069-8.View ArticlePubMedGoogle Scholar
- Whitehead M, Dahlgren G, Evans T: Equity and health sector reforms: can low-income countries escape the medical poverty trap?. Lancet. 2001, 358 (9284): 833-836. 10.1016/S0140-6736(01)05975-X.View ArticlePubMedGoogle Scholar
- Meessen B, Zhenzhong Z, Van Damme W, Devadasan N, Crief B, Bloom G: Iatrogenic poverty. Tropical Medicine and International Health. 2003, 8 (7): 581-584. 10.1046/j.1365-3156.2003.01081.x.View ArticlePubMedGoogle Scholar
- NSC: National Strategy for Poverty alleviation. Edited by: NSC. 2003, Vientiane: Committee for Planning and InvestmentGoogle Scholar
- Department of Statistics: Socio-Economic ATLAS of the Lao PDR. Edited by: Ministry of Planning and Investment. 2005, Vientiane: Department of StatisticsGoogle Scholar
- Dong H, Bogg L, Rehnberg C, Diwan V: Association between health insurance and antibiotics prescribing in four counties in rural China. Health Policy. 1999, 48 (1): 29-45. 10.1016/S0168-8510(99)00026-3.View ArticlePubMedGoogle Scholar
- Cars O, Nordberg P: Antibiotic Resistance - The faceless threat. The Global Threat of Antibiotic resistance: Exploring Roads towards Concerted Action. A Multidisciplinary Meeting at the Dag Hammarskjold Foundation - Uppsala, Sweden, 5-7 May 2004. 2004, Uppsala, SwedenGoogle Scholar
- Nordberg P, Stalsby Lundborg C, Tomson G: Consumers and Providers - could they make better use of antibiotics?. The Global Threat of Antibiotic Resistance: Exploring Roads towards Concerted Action A Multidisciplinary Meeting at the Dag Hammarskjold Foundation - Uppsala, Sweden, 5-7 May 2004. 2004, Uppsala, SwedenGoogle Scholar
- Zhang R, Eggleston K, Rotimi V, J Zeckhauser R: Antibiotic resistance as a global threat: Evidence from China, Kuwait and the United States. Globalization and Health. 2006, 2 (6): 1-14.Google Scholar
- Dong H, Bogg L, Wang K, Rehnberg C, Diwan V: A description of outpatient drug use in rural China: evidence of differences due to insurance coverage. Int J Health Plann Manage. 1999, 14 (1): 41-56. 10.1002/(SICI)1099-1751(199901/03)14:1<41::AID-HPM529>3.0.CO;2-Q.View ArticlePubMedGoogle Scholar
- Siddiqi S, Hamid S, Rafique G, Chaudhry SA, Ali N, Shahab S, Sauerborn R: Prescription practices of public and private health care providers in Attock District of Pakistan. Int J Health Plann Manage. 2002, 17 (1): 23-40. 10.1002/hpm.650.View ArticlePubMedGoogle Scholar
- Tobia CC, Aspinall SL, Good CB, Fine MJ, Hanlon JT: Appropriateness of antibiotic prescribing in veterans with community-acquired pneumonia, sinusitis, or acute exacerbations of chronic bronchitis: a cross-sectional study. Clin Ther. 2008, 30 (6): 1135-1144. 10.1016/j.clinthera.2008.06.009.View ArticlePubMedPubMed CentralGoogle Scholar
- Willems SJ, Swinnen W, De Maeseneer JM: The GP's perception of poverty: a qualitative study. Fam Pract. 2005, 22 (2): 177-183. 10.1093/fampra/cmh724.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1472-6963/11/3/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.