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Case Study: Does training of private networks of Family Planning clinicians in urban Pakistan affect service utilization?

BMC International Health and Human Rights201010:26

DOI: 10.1186/1472-698X-10-26

Received: 26 August 2010

Accepted: 9 November 2010

Published: 9 November 2010

Abstract

Background

To determine whether training of providers participating in franchise clinic networks is associated with increased Family Planning service use among low-income urban families in Pakistan.

Methods

The study uses 2001 survey data consisting of interviews with 1113 clinical and non-clinical providers working in public and private hospitals/clinics. Data analysis excludes non-clinical providers reducing sample size to 822. Variables for the analysis are divided into client volume, and training in family planning. Regression models are used to compute the association between training and service use in franchise versus private non-franchise clinics.

Results

In franchise clinic networks, staff are 6.5 times more likely to receive family planning training (P = 0.00) relative to private non-franchises. Service use was significantly associated with training (P = 0.00), franchise affiliation (P = 0.01), providers' years of family planning experience (P = 0.02) and the number of trained staff working at government owned clinics (P = 0.00). In this setting, nurses are significantly less likely to receive training compared to doctors (P = 0.00).

Conclusions

These findings suggest that franchises recruit and train various cadres of health workers and training maybe associated with increased service use through improvement in quality of services.

Background

Pakistan is one of six countries in South Asia that are facing a critical shortage of health workers [1] with an insufficient number of doctors and nurses [2] to meet Millennium Development Goals (MDG) for Health [3] [Table 1].
Table 1

Current estimates of health workforce in Pakistan

 

2000

2004

2007

Doctors

92,824

113,295

127,859

Nurses

37,528

48,446

62,651

Midwives

22,525

23,559

25,261

LHW

5,443

6,741

9,302

Population/doctor

1473

1316

1225

Population/nurses

3642

3076

2501

Population/midwife

6068

6326

6203

Population/LHW

25113

22108

16845

[3] Sources: Economic Survey of Pakistan 2007-2008 and Pakistan Medical and Dental Council (PMDC) and Pakistan Nursing Council (PNC), Islamabad

There are also inequalities in distribution of health workers with approximately 80,000 doctors in urban areas, and about 36,000 in rural areas. In contrast, there are about 8,000 nurses in urban areas and about 15,000 nurses in rural areas [4]. The majority of physicians comprise male doctors, approximately 75,000 versus 41,000 female physicians [5]. Poor health managerial capacity and inadequate referral mechanisms have led to gross inefficiencies in the public sector; and too often, these referrals are not managed at the basic level because of lack of resources, lack of managerial training, lack of patient-centred care and staff shortages [6].

To overcome these deficiencies in primary health care facilities, contracting out management and delivery of preventive services to NGOs or healthcare providers, has been proposed, underscoring the need for Government to establish a regulatory framework [6].

Poor health outcomes are noted for regions with low density of health workers, such as Africa and Southeast Asia as shown below [Figure 1].
https://static-content.springer.com/image/art%3A10.1186%2F1472-698X-10-26/MediaObjects/12914_2010_Article_128_Fig1_HTML.jpg
Figure 1

Density of Health Workers. Source: http://www.who.int/hrh/hrh_figs_health_workers_large.pdf.

More than 50% of maternal deaths in the world are concentrated in six countries and Pakistan is among them [7]. Although progress toward MDG to reduce maternal mortality has been slow in many regions, Tunisia, Malaysia, Jamaica, Sri Lanka and Thailand, have achieved success by investing in health system strengthening, improved access to family planning, emergency obstetric care and skilled birth attendance [8]. Access to family planning services is a complementary strategy to address the burden of maternal mortality because it is estimated that worldwide, meeting unmet need for family planning could reduce maternal mortality by one third [8]. Government of Pakistan's Lady Health Worker program has been successful in improving maternal and infant survival. Lady Health Workers are trained to provide essential drugs, contraceptives, immunizations, antenatal/postnatal services and referrals for safe motherhood [9].

Health system strengthening includes goals for developing an efficient workforce using competency based training methods, mechanisms for supportive supervision, recruitment and deployment of health workers at every level of the health system, and to achieve an appropriate skill mix [10]. Insufficient human resources further require that private sector providers be integrated into public health programs [1114]. Currently, the private sector in Pakistan provides 70% of health services and the quality of care is perceived to be superior to that of the public sector [6]. In general, utilization of ambulatory care is higher in the private sector and utilization of in-patient care is higher at public sector hospitals because they are better-equipped and the cost of health technology is lower compared to the private sector [6]. Absence of accreditation mechanisms for private hospitals compounds the problem of inadequacies in health delivery [6].

Social Franchising [1518]

In developing countries, franchising has emerged as an important strategy for provider training by private sector organizations. A social franchise network is a type of business model, in which a franchising organization, licenses independent providers or service delivery outlets to operate under its brand name. The main difference between social franchising and commercial franchising is that the former focuses on achieving social good such as improved health outcomes for target populations, while the latter is largely for-profit [Table 2].
Table 2

Social franchising versus Commercial franchising

 

Social franchising

Commercial franchising

Key players

• Franchisor

• Franchisee

• Donor (pays initial capital)

• Franchisor

• Franchisee

Goal

• Sustainability of franchisor and franchisee

• Profitability of franchisee

• Maximize public health

• Profit for franchisor, franchisee and shareholders

Demand for product/service

• Yes

• Yes

Sector

• Non-profit

• For-profit

Product

• Social services, focus on health

• Consumer goods and services e.g. McDonald

Mass Marketing

• Recognition of brand name

• Dissemination of information about access to services

• Recognition of brand name

Payment

• Subsidies

• Market prices

The franchiser bears the financial risk of establishing health services or setting up service delivery outlets. Franchisees contribute equity, usually in the form of their facilities, staff and pre-enrolled clients. Their social capital is an important determinant of their selection for franchise membership and subsequent performance within the network. Social capital refers to their medical background and their reputation. Franchisors can only control franchisees through the business contract. One advantage of social franchising is that services can be scaled up and expanded rapidly.

The quality of care in social franchising is assured by training, evidence-based practice, performance monitoring, supportive supervision, standardization of services and penalties for non-compliance leading to subsequent termination of the contract. The franchisor benefits when franchisees are motivated to continue participating in the network. In general, since franchise affiliation influences providers' perceived benefits for additional clients, expansion of services and revenue generation, they are motivated to maintain the quality of their services and continue to participate. Some providers however, leave the network after receiving training because they do not wish to pay a continuing management fee. In this case, their patients continue to seek care from them because they perceive the quality of the provider and not that of the services. This is due to information asymmetry.

Establishment of a franchise network depends on the availability of a favorable market. In countries where there is professional unemployment, limited FP provision, and a demand for health services, a favorable market exists for development of a successful franchise model. Several programs are operational in Asia, Africa and Latin America with financial support from donors in the US, UK and Germany.

Context of demand for Family Planning [19, 20]

The current total population of Pakistan is about 176 million people with 34% living in urban areas. The health expenditure is 2.4% of GDP and there are 0.7 physicians per 1000 people. Unemployment rate is estimated to be 7.4%. The total fertility rate is high at 4 per woman and contraceptive prevalence rate, all methods, is low at 30%. Unmet need for family planning in urban areas is about 22% and in rural areas is about 26%. Approximately 23% of women 20-24 years old give birth before age 20. Maternal Mortality Rate is estimated to be 276 deaths per 100,000 live births. Among women aged 15-49 years, maternal deaths account for about 20% of all female deaths.

Green Star Network/Social Marketing Pakistan [21, 22]

Under the sponsorship of Population Services International, Social Marketing Pakistan (SMP), a non-profit organization, launched the Green Star Franchise Network in 1991. Since its inception, Green Star has trained over 17,000 providers (male and female physicians, female paramedics, pharmacists) in 40 cities across Pakistan. Following the establishment of Green Star, The Futures Group launched the Key Social Marketing network. Providers have identified free training and increased clientele as important incentives for joining the network. Currently, only the Population Welfare Program of the Government of Pakistan provides more family planning services and products than Green Star. General practitioners including male and female physicians and lady health workers, who own private clinics, are invited to join the network through the Pakistan Medical Association. Their clinics must serve a minimum number of patients and have access to ambulances, labs, pharmacy and radiological services. Training of female doctors and lady health workers consists of education about modern contraceptive technology, management of side effects, counseling skills and infection control. The course includes supervised IUCD practice. In contrast, male physicians and nurses receive a short course, which excludes IUCD practice. After completion of training, a contract allows providers to operate under the brand name of Green Star with supplies and equipment necessary for family planning practice. Trainers are generally required to have a medical degree and one year training in obstetrics and gynecology. They also provide follow-up to reinforce knowledge/skills, record keeping, facilitate implementation of infection control and provide family planning products.

This paper investigates the association between training in franchise networks and use of Family planning services among low-income urban families in Pakistan. A related objective is to describe factors that influence training status in order to improve service use at franchise clinics. Government and non-governmental organizations (NGO) are included in the analysis.

Methods

The data for this study comes from provider interview surveys conducted by A.C. Nielsen, Pakistan in 2001. Data collection was based on multi-stage, multi-cluster surveys of health facilities, clients and providers. Separate questionnaires were used for health facilities, clients and providers working at these facilities. 11 cities with 3 population groups were selected for the survey using stratified random sampling with differential probability of selection. In the first stage of sampling, all health establishments within the cities were listed and low-income areas were sampled using Probability Proportional to Size (PPS). 993 health facilities were systematically selected from areas where franchises were located. The actual sample included government reproductive health centers, non-governmental organizations, private health facilities and pharmacies. Private sector facilities were further divided into franchise and non-franchise. All franchises in each selected city were sampled [23].

In the second stage, the total number of health staff was recorded and authorized family planning providers in all health establishments were interviewed in-person. The actual sample consisted of 1,113 selected providers including doctors, nurses, lady health workers, paramedics and pharmacists/others. Baseline survey data was collected between January and September 2001 and a follow-up survey was completed in August 2004. For this analysis baseline provider interview data was used.

Survey instrument

The survey was based on a standard 142-item questionnaire, which was broadly divided into measures of service volume, training experience, source and content of training, and referral mechanisms in family planning and post-abortion care respectively. Each health establishment was coded on the questionnaire and the respondent's gender was recorded [Additional file 1].

Ethics

Informed consent was obtained from all participants. The study was approved by The University of North Carolina School of Public Health Institutional Review Board.

Measurement

For this analysis, variables of interest related to training intervention and provider outcomes are shown in Table 3.
Table 3

Measurement of Variables

Outcome variables

Operationalized by:

Total client volume

"How many clients received Family Planning services from you last week?"

Training in Family Planning care

"Have you ever received in-service training in Family Planning care?"

Source of training

"Who provided this training?"

Training in Post-Abortion Care

"Have you ever received in-service training in post abortion care?"

Source of training

"Who provided this training?"

Independent variables

 

Years of experience providing general healthcare

"How many years of experience providing healthcare do you have in total?"

Years of experience providing family planning care

"How many years of experience providing Family Planning care do you have in total?"

Ever worked for government

"Have you ever worked for the government as a health provider?"

Affiliation with Green Star Network

"Are you affiliated with the Green Star Network?"

Affiliation with Key Social Marketing

"Are you affiliated with the Key Network?"

Time spent on FP services

"How many hours on average per week do you spend providing family planning services?"

*Levels of staff, gender of staff and type of health establishment are coded on the survey

Linear regression models were used to measure the association of training with client volume. Log of total client volume was used to model this effect and the variable of interest was ever received training.

Logistic regression models were used to assess the odds of training in family planning. Type of health establishment was the key variable for determining whether training was received through participation in franchise networks. The models controlled for providers' years of work experience in general healthcare or family planning, gender, staff level, commitment to family planning provision and affiliation with franchise. STATA statistical software was used throughout. In this study pharmacists and pharmacies were excluded from the analysis, reducing the total sample size to 822.

Results

Table 4 shows the distribution of the total sample of 822 providers in the survey. The mean of the total client volume was about ten. 70% of the providers were trained in Family Planning and approximately 20% had received training in Post-Abortion Care. Among them, 29% received Family Planning training from Government of Pakistan, and 41% were trained in the private sector by franchises and NGOs. Regarding Post-Abortion Care training, 13% were trained by Government, 7% were trained by franchises and NGOs and 1% reported other source of training. 68% of providers worked in the private sector and 32% worked in the public sector. Female doctors and lady health workers comprised the majority of the sample compared to only 7% of nurses and 33% of male doctors. More than half of all providers reported less than 10 years of general healthcare experience and approximately 70% had less than 10 years of Family Planning experience. About 20% of providers devoted 40 hours per week to Family Planning practice. 62% of providers had ever worked for Government while 64% were affiliated with a franchise.
Table 4

Distribution of all clinical providers (N = 822)

 

%

n

Mean of total client volume = 10

  

Ever received training in Family Planning

  

Yes

70

574

No

30

248

Source of training

  

No training

30

248

Green Star

30

248

Key

7

55

NGO

4

37

Government

29

234

Ever received training in Post Abortion Care

  

Yes

21

171

No

79

651

Source of training

  

No training

79

651

Green Star

6

47

NGO

1

12

Govt.

13

108

Other

1

4

Type of health establishment

  

Private non-franchise

18

146

Franchise

46

382

Govt.

4

262

NGO

32

32

Provider designation

  

Doctor

56

456

Nurse

7

58

Lady health worker

37

308

Provider gender

  

Female

67

554

Male

33

268

Duration of general healthcare experience

  

Less than 10 years

55

456

More than 10 years

45

366

Duration of Family Planning experience

  

Less than 10 years

69

564

More than 10 years

31

258

Average hrs/wk spent on Family Planning

  

Less than 20 hrs

57

470

21-40 hrs

23

186

More than 40 hrs

20

166

Ever worked for govt.

  

Yes

62

509

No

38

313

Affiliation with Green Star

  

Yes

45

369

No

55

453

Affiliation with Key

  

Yes

19

153

No

81

669

Does not include missing values

Training

Table 5 shows the distribution of trained providers in the sample. Across all types of health establishments, more than half of all trained staff worked at franchise clinics and about 75% of health workers were affiliated with a franchise. Post-Abortion Care training was provided to more than half of doctors, health workers with less than ten years of experience in either general healthcare or Family Planning and female providers (about 80%). Approximately 70% of providers had less than ten years of family planning experience, suggesting that medical education, gender and age were important determinants of selection into franchise networks and subsequent training. 67% of providers reported ever working for government suggesting that this is a key predictor of FP and PAC training received in the public sector. About 30% of trained providers committed 40 hours per week to family planning care.
Table 5

Distribution of trained providers (N = 745)

 

Trained in FP

Trained in PAC

Total

 

%

n

%

n

%

n

Type of health establishment

      

Private non-franchise

7

39

8

13

7

52

Franchise

52

296

58

100

53

396

Govt. RHC

38

219

30

51

36

270

NGO

3

20

4

7

4

27

Total

 

574

 

171

 

745

Provider education

      

Doctor

50

290

54

92

51

382

Nurse

4

25

6

11

5

36

LHW

45

259

40

68

44

327

Total

 

574

 

171

 

745

Provider Gender

      

Female

75

430

87

149

78

579

Male

25

144

13

22

22

166

Total

 

574

 

171

 

745

Affiliation with Green Star

      

Yes

50

287

58

99

52

386

No

50

287

42

72

48

359

Total

 

574

 

171

 

745

Affiliation with Key

      

Yes

23

130

25

42

23

172

No

77

444

75

129

77

573

Total

 

574

 

171

 

745

Average hours/week FP work

      

Less than 20 hours

49

282

45

76

48

358

21-40 hours

27

157

33

57

29

214

More than 40 hours

24

135

22

38

23

173

Total

 

574

 

171

 

745

General healthcare experience

      

Less than 10 years

54

307

56

95

54

402

More than 10 years

46

267

44

76

46

343

Total

 

574

 

171

 

745

Family Planning experience

      

Less than 10 years

67

382

67

115

67

497

More than 10 years

33

192

33

56

33

248

Total

 

574

 

171

 

745

Ever worked for Government

      

Yes

67

386

67

115

67

501

No

33

188

33

56

33

244

Total

 

574

 

171

 

745

Table 6 shows that compared to private non-franchises, staff working at franchise clinics and non-government health facilities were significantly more likely to receive training in family planning and post-abortion care (Family Planning: franchise OR = 6.5, P = 0.00; NGO: OR = 4.5, P = 0.00. Post-Abortion Care: franchise OR = 2.0, P = 0.18; NGO: OR = 2.2, P = 0.15). Although working at public facilities significantly increased the likelihood of receiving training in Family Planning (OR = 7.6, P = 0.00) the odds of receiving Post-Abortion Care training were equivocal for staff working at public facilities and private non-franchises. Ever working for government significantly increased the odds of training in Family Planning and Post-Abortion Care (FP: OR = 1.6, P = 0.01. PAC: OR = 1.6, P = 0.02).
Table 6

Probability of training in FP and Post Abortion Care (N = 745)

 

FP training

PAC training

 

OR (CI)

P-value

OR (CI)

P-value

Type of health establishment

    

Private non-franchise (reference)

    

Franchise

6.5 (2.5, 17)

0.00

2.0 (0.7, 5.1)

0.18

Govt.

7.6 (4.1, 14)

0.00

1.0 (0.5, 2.2)

0.93

NGO

4.5 (1.8, 10.8)

0.00

2.2 (0.8, 6.5)

0.15

Provider education

    

Doctor (reference)

    

Nurse

0.2 (0.1, 0.4)

0.00

0.5 (0.3, 1.1)

0.08

Lady Health Worker (LHW)

1.2 (0.7, 2.0)

0.53

0.6 (0.4, 0.9)

0.02

Provider gender

    

Female (reference)

    

Male

0.6 (0.4, 0.9)

0.02

0.2 (0.1, 0.3)

0.00

General healthcare experience

    

Less than 10 years (reference)

    

More than 10 years

1.3 (0.7, 2.1)

0.39

1.0 (0.6, 1.8)

0.97

Family Planning experience

    

Less than 10 years (reference)

    

More than 10 years

1.0 (0.5, 1.7)

0.92

1.1 (0.6, 2.0)

0.79

Ever worked for government

    

No (reference)

    

Yes

1.6 (1.1, 2.4)

0.01

1.6 (1.1, 2.5)

0.02

Affiliation with Key Social Marketing

    

No (reference)

    

Yes

1.7 (1.0, 2.9)

0.06

1.2 (0.8, 1.9)

0.46

Affiliation with Green Star

    

No (reference)

    

Yes

1.2 (0.5, 2.9)

0.65

1.1 (0.5, 2.4)

0.74

Compared to doctors, nurses had significantly lower odds of receiving training in Family Planning and Post-Abortion Care (FP: OR = 0.2, P = 0.00; PAC: OR = 0.5, P = 0.08) and Lady Health Workers had significantly lower odds of receiving training in PAC (OR = 0.6, P = 0.02). Male providers had lower odds of receiving training compared to all female providers (OR = 0.6, P = 0.02)

Years of work experience and affiliation with franchise networks did not influence the odds of training suggesting that training is a benefit of recruitment in the network.

Use of Family Planning Services

Table 7 shows that there was a significant and positive association between use of services and training (P = 0.00, coeff. = 0.2, SE = 0.0 or 1.2 additional clients per week). Relative to private non-franchises, service use was negatively associated with number of staff working at franchise clinics (P = 0.34, coeff = -0.1, SE = 0.1) and positively associated with the number of trained staff working at public facilities and non-government (NGO) clinics (government: P = 0.00, coeff = 0.3, SE = 0.1 or 1.3 additional clients per week; NGO: P = 0.26, coeff = 0.1, SE = 0.1 or 1.1 additional client per week). Positive associations were also noted for years of family planning experience (P = 0.02, coeff = 0.1, SE = 0.1 or 1.1 additional client per week) and franchise affiliation (Key Social Marketing: P = 0.2, coeff = 0.1, SE = 0.0 or 1.1 additional client per week; Green Star: P = 0.01, coeff = 0.2, SE = 0.1 or 1.2 additional clients per week). Overall, within the private sector, franchise affiliation was associated with 2.3 additional clients per week. Relative to female providers, the number of male providers showed a statistically significant negative association with service use (P = 0.00, coeff = -0.1, SE = 0.0).
Table 7

Association between total client volume and training (N = 574)

 

Log Client Volume

 

Coefficient (SE)

P-value

Ever received training

  

No (reference)

  

Yes

0.2 (0.0)

0.00

Type of health establishment

  

Private non-franchise (reference)

  

Franchise

-0.1 (0.1)

0.34

Govt.

0.3 (0.1)

0.00

NGO

0.1 (0.1)

0.26

General healthcare experience

  

Less than 10 years (reference)

  

More than 10 years

0.0 (0.1)

0.43

Family Planning experience

  

Less than 10 years (reference)

  

More than 10 years

0.1 (0.1)

0.02

Ever worked for government

  

No (reference)

  

Yes

0.0 (0.0)

0.32

Affiliation with Key Social Marketing

  

No (reference)

  

Yes

0.1 (0.0)

0.2

Affiliation with Green Star

  

No (reference)

  

Yes

0.2 (0.1)

0.01

Provider designation

  

Doctor (reference)

  

Nurse

0.0 (0.1)

0.77

Lady Health Worker (LHW)

0.0 (0.1)

0.78

Provider gender

  

Female (reference)

  

Male

-0.1(0.0)

0.00

Discussion

This study revealed some important findings about access to family planning services in urban areas, which may be valid in today's context. Dual practice in Pakistan has continued throughout the years and nurse training has continued to be a significant challenge particularly due to the low prestige associated with the profession and few trained mentors available [24]. Dual practice results from providers' desire to generate more income through private practice due to the prevailing low wages, poor referral mechanisms and lack of resources in the public sector. Often providers who engage in dual practice have the propensity to overprescribe and to make inappropriate use of facilities, staff, health technology and other resources available in the public sector. These providers have patients in public practice, which they divert into their private practice. Information asymmetry may be the underlying cause for this diversion when patients cannot differentiate between the services received in the public sector versus those received in the private sector and remain loyal to the provider. Since the early nineties, franchise programs have complemented Ministry of Health's efforts to improve reproductive health outcomes through training, monitoring and standardization of services [25]. Training increases the use of services and the technical competence of providers. In this way, providers who are trained in the public sector and continue to engage in dual practice are likely to provide better care than those who have not received similar training. Training can also work as a non-financial incentive for them and may improve their attitudes. Additionally in the context of dual practice, social franchising in the private sector links training to quality and access to reproductive health services. Data from 2001 showed that staff working at government owned health facilities were associated with the highest probabilities of training in family planning compared to all private sector health facilities. Not surprisingly, public facilities were associated with higher client volume compared to private non-franchises. The choice of family planning method may influence the pattern of service utilization. A survey in 1999 showed that 60% of women in Karachi who used either pills or condoms obtained them from a pharmacy, and the proportion of women who used long-term contraception such as injectables or implant or intra-uterine devices, was equivalent for either government or private clinics. In contrast, 53% of those surveyed about tubal ligation had undergone the procedure at a private clinic and 47% had used a government clinic [26]. Notably, IUD, injectables and sterilization are the preferred methods for family planning in Pakistan [27].

Data from health establishment surveys conducted in 2001 showed that public facilities in Pakistan, Bihar and Ethiopia were associated with higher family planning client volume compared to private non-franchises [23].

In the private sector, franchises and non-governmental organizations were associated with significantly higher odds of training in family planning and post-abortion care compared to non-franchises. The size of trained staff working at government reproductive health centers and NGO clinics was positively associated with increased client volume. However, the number of trained staff varied across private sector facilities, depending upon service capacity and level of specialization of providers. It is likely that tertiary hospitals in the public sector had higher client volume while, franchise clinics with smaller service capacity compared to private non-franchises, were associated with lower client volume. In order to encourage greater use of services franchise programs expanded services through a larger pool of trained providers and included non-governmental organizations as referral facilities in the network. Therefore, providers who were affiliated with franchise networks and those with more than ten years of family planning experience had higher client volume.

The strongest negative associations were noted for provider gender; and nurses were statistically significantly less likely to receive training in both Family Planning and Post-Abortion Care, compared to doctors. Thus, young female doctors comprised the largest proportion of health workers who were trained in Post-Abortion Care. Nurses are deployed to rural areas hence it is to be expected that very few nurses were interviewed in this sample (7%). Negative judgments about the quality of nursing care may prevent women from consulting nurses in Pakistan, explaining why nurses are underutilized. Given that women often refuse pelvic examination performed by male doctors, in-service training for nurses in family planning and post-abortion care may expand the number of female providers available, particularly for IUDs, which are the method of choice for women seeking birth spacing. Training in combination with information dissemination campaigns would promote the quality of nurses, and enable clients to find value from services. Evaluation of a pay for performance voucher pilot scheme conducted by Green Star in 2008-2009 showed that post-partum family planning use was successful among women who used vouchers for antenatal care and facility-based delivery. In this scheme, vouchers were given to poor women to use for a reproductive health services package and providers were compensated on a fee for performance basis. The pilot was conducted in one district of Punjab with a population of 2.2 million and contraceptive prevalence rate (all methods) of 27 percent. Among post-partum contraception acceptors 26% of women chose long-term methods versus 15% of women who chose injectables, 4% who chose pills, and 2% who chose tubal ligation [28]. Globally, experience has shown that nurses and midwives can provide effective counseling, IUD insertion, family planning and post-abortion care [2933]. Task shifting of reproductive health services to nurses and midwives in Pakistan, may deserve some attention with careful human resource planning.

It appears that gender gap during the clinical encounter may not be a key concern for some women because male doctors in this survey did have clients. However it is likely that these consultations were for methods other than IUD or for matters other than reproductive health.

Quality of care is negatively influenced by barriers affecting access to services in supply chains, in facilities and equipment, in staff training, in media campaigns, and record keeping [3443]. In some countries, providers' negative attitudes toward family planning have restricted clients' access to services including Brazil where providers believed that women cannot learn to use barrier methods and Africa where clients' age, marital status, number of children, parity and spousal consent influenced providers' decision to provide contraception [44]. Often, poor working environments adversely affect provider performance by placing them at risk for stress and depression. Increased workloads, difficult interpersonal relations, conflicts in performing professional duties, poor skill mix, health worker shortage, low wages and lack of opportunities for professional development all have a spillover effect on patient outcomes [44]. The Islamabad Declaration on Strengthening Nursing and Midwifery 2007 identified three priority areas that needed attention namely: scaling up midwifery and nursing capacity, developing appropriate skill mix and developing positive workplace environments [45].

Quality of care is of key concern to all stakeholders including health professionals [46, 47]. The political, administrative and socioeconomic context strongly influences the quality of family planning programs in developing countries. This study showed that only about one-fifth of the providers surveyed devoted up to 40 hours per week to FP care. This number increased to one-third after training, suggesting that providers' attitudes and counseling skills can be enhanced. Additionally, younger providers may have better attitudes about reproductive health and clients may be more willing to seek services from them [48]. A recent study that used data from 2001 and 2004 surveys of health facilities, providers and clients, measured the quality of services based on the Bruce-Jain Framework, and found greater quality scores for public sector facilities and franchise clinic networks compared to NGOs and private non-franchises [49].

Earlier studies have focused on evaluating the quality, access and cost of reproductive health services provided by clinic franchise networks [23, 49]. This study described the likelihood of training for various cadres of providers, and the association between training and quality. In the past decade, unmet need has not changed and health worker shortages have continued. Human resources appear to be skewed in favor of doctors and Lady Health Workers.

There is a severe limitation of this study. Data were based on provider interviews conducted in 2001 and analysis was limited to clinical providers located in urban areas. Their responses may be biased based on attitudes toward dual practice and family planning/post-abortion care.

Conclusions

Franchise networks monitor and train various cadres of health workers to improve the quality of family planning services in urban areas. Trained providers have technical competencies, counseling skills, have abilities in record keeping and serve more clients. In the private sector, clients would benefit more from services offered by trained providers working at franchise service delivery outlets compared to services offered by untrained providers working in private non-franchise clinics. In 2001, nurses appeared to be underutilized as shown by the small proportion of nurses who were providers of family planning in a nationally representative data and their probability of training compared to doctors was low. In a culture where there are restrictions on health seeking behaviors, it is likely that women would choose to see female providers even those with lesser training than doctors. With in-service training in Family Planning and Post-Abortion Care, nurses and midwives could potentially contribute to expanding accessibility of family planning programs in both private and public sectors.

Declarations

Authors’ Affiliations

(1)
University Research Company

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© Qureshi; licensee BioMed Central Ltd. 2010

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